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22 changes: 22 additions & 0 deletions packages/types/src/providers/chutes.ts
Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,8 @@ export type ChutesModelId =
| "moonshotai/Kimi-K2-Instruct-75k"
| "moonshotai/Kimi-K2-Instruct-0905"
| "Qwen/Qwen3-235B-A22B-Thinking-2507"
| "Qwen/Qwen3-Next-80B-A3B-Instruct"
| "Qwen/Qwen3-Next-80B-A3B-Thinking"

export const chutesDefaultModelId: ChutesModelId = "deepseek-ai/DeepSeek-R1-0528"

Expand Down Expand Up @@ -308,4 +310,24 @@ export const chutesModels = {
outputPrice: 0.31202496,
description: "Qwen3 235B A22B Thinking 2507 model with 262K context window.",
},
"Qwen/Qwen3-Next-80B-A3B-Instruct": {
maxTokens: 32768,
contextWindow: 131072,
supportsImages: false,
supportsPromptCache: false,
inputPrice: 0,
outputPrice: 0,
description:
"Fast, stable instruction-tuned model optimized for complex tasks, RAG, and tool use without thinking traces.",
},
"Qwen/Qwen3-Next-80B-A3B-Thinking": {
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Given that this is a "Thinking" model with structured thinking traces (as mentioned in the description), should we consider adding reasoning support properties like supportsReasoningBudget: true or supportsReasoningEffort: true?

I noticed other thinking models in the codebase like "Qwen3-235B-A22B-Thinking-2507" (line 304) have similar descriptions. Would this model benefit from the same reasoning capabilities?

maxTokens: 32768,
contextWindow: 131072,
supportsImages: false,
supportsPromptCache: false,
inputPrice: 0,
outputPrice: 0,
description:
"Reasoning-first model with structured thinking traces for multi-step problems, math proofs, and code synthesis.",
},
} as const satisfies Record<string, ModelInfo>
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