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feat: add 9 new OpenRouter models and update aliases (upstream PR BeehiveInnovations#411)
Cherry-picked model additions from BeehiveInnovations#411. New models: Claude 4.6 (Opus/Sonnet), Gemini 3.1 Pro, GPT-5.4/5.4-Pro, GPT-5.3-Codex, Devstral, DeepSeek V3.2, Qwen 3.5, MiniMax M2.5. Updated generic aliases (opus→4.6, sonnet→4.6, pro→3.1, gpt5→5.4, codex→5.3) with version-specific aliases for backward compatibility. Fixed no-API-keys test to account for ADC fallback from PR BeehiveInnovations#306.
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‎conf/openrouter_models.json‎

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{
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"model_name": "anthropic/claude-opus-4.5",
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"aliases": [
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"opus",
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"opus4.5",
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"claude-opus"
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"opus4.5"
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],
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"context_window": 200000,
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"max_output_tokens": 64000,
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"description": "Claude Opus 4.5 - Anthropic's frontier reasoning model for complex software engineering and agentic workflows",
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"intelligence_score": 18
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},
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{
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"model_name": "anthropic/claude-opus-4.6",
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"aliases": [
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"opus",
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"opus4.6",
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"claude-opus"
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],
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"context_window": 1000000,
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"max_output_tokens": 128000,
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"supports_extended_thinking": false,
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"supports_json_mode": false,
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"supports_function_calling": false,
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"supports_images": true,
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"max_image_size_mb": 5.0,
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"description": "Claude Opus 4.6 - Anthropic's strongest model for coding, long-running professional tasks, and agentic workflows",
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"intelligence_score": 18
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},
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{
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"model_name": "anthropic/claude-sonnet-4.5",
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"aliases": [
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"sonnet",
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"sonnet4.5"
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],
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"context_window": 200000,
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"description": "Claude Sonnet 4.5 - High-performance model with exceptional reasoning and efficiency",
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"intelligence_score": 12
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},
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{
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"model_name": "anthropic/claude-sonnet-4.6",
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"aliases": [
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"sonnet",
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"sonnet4.6"
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],
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"context_window": 1000000,
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"max_output_tokens": 128000,
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"supports_extended_thinking": false,
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"supports_json_mode": false,
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"supports_function_calling": false,
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"supports_images": true,
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"max_image_size_mb": 5.0,
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"description": "Claude Sonnet 4.6 - Frontier Sonnet with coding, agents, and professional task performance",
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"intelligence_score": 13
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},
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{
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"model_name": "anthropic/claude-opus-4.1",
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"aliases": [
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},
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{
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"model_name": "google/gemini-3-pro-preview",
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"aliases": [
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"gemini3.0",
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"gemini-3.0",
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"pro-openrouter"
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],
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"context_window": 1048576,
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"max_output_tokens": 65536,
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"supports_extended_thinking": true,
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"supports_json_mode": true,
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"supports_function_calling": true,
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"supports_images": true,
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"max_image_size_mb": 20.0,
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"allow_code_generation": true,
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"description": "Google's Gemini 3.0 Pro via OpenRouter with vision",
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"intelligence_score": 17
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},
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{
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"model_name": "google/gemini-3.1-pro-preview",
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"aliases": [
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"pro",
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"gemini-pro",
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"gemini",
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"gemini3",
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"pro-openrouter"
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"gemini3.1"
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],
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"context_window": 1048576,
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"max_output_tokens": 65536,
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"supports_images": true,
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"max_image_size_mb": 20.0,
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"allow_code_generation": true,
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"description": "Google's Gemini 3.0 Pro via OpenRouter with vision",
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"intelligence_score": 18
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"description": "Google's Gemini 3.1 Pro - Frontier reasoning with enhanced software engineering and agentic capabilities",
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"intelligence_score": 19
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},
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{
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"model_name": "google/gemini-2.5-pro",
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"description": "Mistral's largest model (text-only)",
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"intelligence_score": 11
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},
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{
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"model_name": "meta-llama/llama-3-70b",
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"aliases": [
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"llama",
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"llama3",
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"llama3-70b",
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"llama-70b",
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"llama3-openrouter"
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],
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"context_window": 8192,
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"max_output_tokens": 8192,
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"supports_extended_thinking": false,
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"supports_json_mode": false,
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"supports_function_calling": false,
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"supports_images": false,
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"max_image_size_mb": 0.0,
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"description": "Meta's Llama 3 70B model (text-only)",
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"intelligence_score": 9
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},
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{
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"model_name": "deepseek/deepseek-r1-0528",
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"aliases": [
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"description": "DeepSeek R1 with thinking mode - advanced reasoning capabilities (text-only)",
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"intelligence_score": 15
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},
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{
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"model_name": "perplexity/llama-3-sonar-large-32k-online",
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"aliases": [
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"perplexity",
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"sonar",
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"perplexity-online"
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],
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"context_window": 32768,
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"max_output_tokens": 32768,
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"supports_extended_thinking": false,
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"supports_json_mode": false,
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"supports_function_calling": false,
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"supports_images": false,
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"max_image_size_mb": 0.0,
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"description": "Perplexity's online model with web search (text-only)",
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"intelligence_score": 9
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},
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{
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"model_name": "openai/o3",
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"aliases": [
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{
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"model_name": "openai/gpt-5",
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"aliases": [
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"gpt5"
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"gpt-5.0",
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"gpt5.0"
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],
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"context_window": 400000,
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"max_output_tokens": 128000,
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"max_image_size_mb": 20.0,
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"supports_temperature": true,
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"temperature_constraint": "range",
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"description": "GPT-5 (400K context, 128K output) - Advanced model with reasoning support",
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"description": "GPT-5.0 (400K context, 128K output) - Advanced model with reasoning support",
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"intelligence_score": 16
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},
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{
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"model_name": "openai/gpt-5.2-pro",
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"aliases": [
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"gpt5.2-pro",
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"gpt5.2pro",
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"gpt5pro"
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"gpt5.2pro"
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],
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"context_window": 400000,
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"max_output_tokens": 272000,
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"description": "GPT-5.2 Pro - Advanced reasoning model with highest quality responses (text+image input, text output only)",
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"intelligence_score": 18
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},
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{
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"model_name": "openai/gpt-5.4-pro",
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"aliases": [
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"gpt5.4-pro",
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"gpt5.4pro",
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"gpt5pro"
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],
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"context_window": 1050000,
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"max_output_tokens": 128000,
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"supports_extended_thinking": true,
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"supports_json_mode": true,
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"supports_function_calling": true,
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"supports_images": true,
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"max_image_size_mb": 20.0,
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"supports_temperature": false,
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"temperature_constraint": "fixed",
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"use_openai_response_api": true,
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"default_reasoning_effort": "high",
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"allow_code_generation": true,
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"description": "GPT-5.4 Pro - OpenAI's most advanced model with enhanced reasoning and 1M context window",
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"intelligence_score": 19
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},
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{
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"model_name": "openai/gpt-5.4",
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"aliases": [
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"gpt5",
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"gpt5.4",
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"gpt-5.4"
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],
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"context_window": 1050000,
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"max_output_tokens": 128000,
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"supports_extended_thinking": true,
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"supports_json_mode": true,
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"supports_function_calling": true,
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"supports_images": true,
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"max_image_size_mb": 20.0,
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"supports_temperature": false,
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"temperature_constraint": "fixed",
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"default_reasoning_effort": "medium",
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"allow_code_generation": true,
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"description": "GPT-5.4 - OpenAI's unified frontier model (1M context, 128K output) combining Codex and GPT capabilities",
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"intelligence_score": 19
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},
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{
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"model_name": "openai/gpt-5-codex",
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"aliases": [
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"codex",
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"codex-5.0",
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"gpt5codex"
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],
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"context_window": 400000,
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"description": "GPT-5.1 Codex (400K context, 128K output) - Agentic coding specialization available through the Responses API",
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"intelligence_score": 19
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},
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{
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"model_name": "openai/gpt-5.3-codex",
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"aliases": [
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"codex",
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"codex-5.3",
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"gpt5.3-codex"
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],
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"context_window": 400000,
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"max_output_tokens": 128000,
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"supports_extended_thinking": true,
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"supports_json_mode": true,
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"supports_function_calling": true,
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"supports_images": true,
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"max_image_size_mb": 20.0,
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"supports_temperature": false,
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"temperature_constraint": "fixed",
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"use_openai_response_api": true,
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"default_reasoning_effort": "high",
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"allow_code_generation": true,
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"description": "GPT-5.3 Codex - OpenAI's most advanced agentic coding model with frontier software engineering performance",
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"intelligence_score": 19
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},
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{
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"model_name": "openai/gpt-5.1-codex-mini",
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"aliases": [
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"temperature_constraint": "range",
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"description": "xAI's Grok 4.1 Fast Reasoning via OpenRouter (2M context) with vision and advanced reasoning",
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"intelligence_score": 15
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},
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{
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"model_name": "deepseek/deepseek-v3.2-exp",
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"aliases": [
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"deepseek-v3",
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"deepseek-v3.2",
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"dsv3"
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],
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"context_window": 163840,
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"max_output_tokens": 65536,
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"supports_extended_thinking": true,
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"supports_json_mode": true,
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"supports_function_calling": false,
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"supports_images": false,
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"max_image_size_mb": 0.0,
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"description": "DeepSeek V3.2 Experimental - Strong reasoning capabilities (text-only)",
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"intelligence_score": 16
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},
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{
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"model_name": "mistralai/devstral-2512",
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"aliases": [
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"devstral"
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],
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"context_window": 262144,
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"max_output_tokens": 32768,
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"supports_extended_thinking": false,
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"supports_json_mode": true,
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"supports_function_calling": true,
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"supports_images": false,
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"max_image_size_mb": 0.0,
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"description": "Devstral 2 - Mistral's 123B parameter model specialized for agentic coding and codebase exploration",
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"intelligence_score": 15
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},
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{
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"model_name": "qwen/qwen3.5-397b-a17b",
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"aliases": [
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"qwen",
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"qwen3.5"
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],
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"context_window": 262144,
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"max_output_tokens": 65536,
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"supports_extended_thinking": true,
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"supports_json_mode": true,
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"supports_function_calling": true,
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"supports_images": true,
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"max_image_size_mb": 20.0,
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"description": "Qwen 3.5 397B - Frontier reasoning model with vision, hybrid architecture (text+image+video input)",
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"intelligence_score": 16
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},
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{
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"model_name": "minimax/minimax-m2.5",
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"aliases": [
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"minimax",
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"m2.5"
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],
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"context_window": 196608,
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"max_output_tokens": 32768,
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"supports_extended_thinking": false,
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"supports_json_mode": true,
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"supports_function_calling": true,
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"supports_images": false,
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"max_image_size_mb": 0.0,
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"description": "MiniMax M2.5 - SWE-Bench 80.2%, optimized for agent workflows and real-world productivity (API allows up to 196K output)",
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"intelligence_score": 16
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}
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]
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}

‎docs/custom_models.md‎

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| Alias | Canonical Model | Highlights |
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|-------|-----------------|------------|
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| `opus`, `claude-opus` | `anthropic/claude-opus-4.1` | Flagship Claude reasoning model with vision |
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| `sonnet`, `sonnet4.5` | `anthropic/claude-sonnet-4.5` | Balanced Claude with high context window |
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| `opus`, `claude-opus` | `anthropic/claude-opus-4.6` | Latest Anthropic flagship (1M context, vision). `opus4.5` → 4.5, `opus4.1` → 4.1 |
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| `sonnet` | `anthropic/claude-sonnet-4.6` | Frontier Sonnet (1M context, vision). `sonnet4.5` → 4.5 |
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| `haiku` | `anthropic/claude-3.5-haiku` | Fast Claude option with vision |
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| `pro`, `gemini` | `google/gemini-2.5-pro` | Frontier Gemini with extended thinking |
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| `pro`, `gemini` | `google/gemini-3.1-pro-preview` | Latest Gemini Pro with 1M context, thinking. `gemini3.0` → 3.0 |
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| `flash` | `google/gemini-2.5-flash` | Ultra-fast Gemini with vision |
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| `mistral` | `mistralai/mistral-large-2411` | Frontier Mistral (text only) |
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| `llama3` | `meta-llama/llama-3-70b` | Large open-weight text model |
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| `deepseek-r1` | `deepseek/deepseek-r1-0528` | DeepSeek reasoning model |
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| `perplexity` | `perplexity/llama-3-sonar-large-32k-online` | Search-augmented model |
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| `gpt5`, `gpt5.4` | `openai/gpt-5.4` | Unified frontier model (1M context, 128K output). `gpt5.0` → 5.0 |
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| `gpt5pro` | `openai/gpt-5.4-pro` | Enhanced reasoning variant (1M context). `gpt5.2-pro` → 5.2 Pro |
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| `codex`, `codex-5.3` | `openai/gpt-5.3-codex` | Latest agentic coding model (Responses API). `codex-5.0` → 5.0 |
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| `gpt5.2`, `gpt-5.2`, `5.2` | `openai/gpt-5.2` | Flagship GPT-5.2 with reasoning and vision |
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| `gpt5.1-codex`, `codex-5.1` | `openai/gpt-5.1-codex` | Agentic coding specialization (Responses API) |
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| `codex-mini`, `gpt5.1-codex-mini` | `openai/gpt-5.1-codex-mini` | Cost-efficient Codex variant with streaming |
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| `codex-mini` | `openai/gpt-5.1-codex-mini` | Cost-efficient Codex variant with streaming |
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| `mistral` | `mistralai/mistral-large-2411` | Frontier Mistral (text only) |
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| `devstral` | `mistralai/devstral-2512` | 123B agentic coding model (262K context) |
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| `deepseek-r1` | `deepseek/deepseek-r1-0528` | DeepSeek reasoning model |
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| `deepseek-v3`, `dsv3` | `deepseek/deepseek-v3.2-exp` | DeepSeek V3.2 with strong reasoning (164K context) |
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| `qwen`, `qwen3.5` | `qwen/qwen3.5-397b-a17b` | Frontier 397B MoE reasoning model (262K context) |
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| `minimax`, `m2.5` | `minimax/minimax-m2.5` | SWE-Bench 80.2%, agent-optimized (197K context) |
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Consult the JSON file for the full list, aliases, and capability flags. Add new entries as OpenRouter releases additional models.
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