@@ -12,29 +12,13 @@ jobs:
1212 fail-fast : false
1313 matrix :
1414 model :
15- - meta-llama/llama-3.2-3b-instruct # $0.0100/$0.0200 [ 128K]
16- - mistralai/mistral-nemo # $0.0100/$0.0270 [ 128K]
1715 - google/gemma-3n-e4b-it # $0.0200/$0.0400 [ 32K]
1816 - google/gemma-3-4b-it # $0.0200/$0.0400 [ 128K]
1917 - mistralai/ministral-3b # $0.0400/$0.0400 [ 128K]
20- - mistralai/mistral-7b-instruct-v0.3 # $0.0280/$0.0540 [ 32K]
2118 - mistralai/mistral-small-3.2-24b-instruct # $0.0500/$0.1000 [ 32K]
2219 - google/gemma-3-12b-it # $0.0500/$0.1000 [ 128K]
23- - microsoft/phi-3-mini-128k-instruct # $0.1000/$0.1000 [ 128K]
2420 - qwen/qwen3-8b # $0.0350/$0.1380 [ 128K]
25- - amazon/nova-micro-v1 # $0.0350/$0.1400 [ 128K]
26- - microsoft/phi-4 # $0.0700/$0.1400 [ 16K]
2721 - google/gemini-flash-1.5-8b # $0.0380/$0.1500 [1000K]
28- - amazon/nova-lite-v1 # $0.0600/$0.2400 [ 300K]
29- - qwen/qwen3-14b # $0.0800/$0.2400 [ 40K]
30- - mistralai/mixtral-8x7b-instruct # $0.2400/$0.2400 [ 32K]
31- - meta-llama/llama-3.3-70b-instruct # $0.0700/$0.2500 [ 128K]
32- - qwen/qwen3-30b-a3b # $0.0800/$0.2900 [ 40K]
33- - google/gemini-2.0-flash-lite-001 # $0.0750/$0.3000 [1000K]
34- - meta-llama/llama-4-scout # $0.0800/$0.3000 [ 320K]
35- - google/gemini-2.0-flash-001 # $0.1000/$0.4000 [1000K]
36- - openai/gpt-4.1-nano # $0.1000/$0.4000 [1000K]
37- - google/gemini-2.5-flash-lite-preview-06-17 # $0.1000/$0.4000 [1000K]
3822
3923 steps :
4024 - uses : actions/checkout@v4
@@ -60,29 +44,13 @@ jobs:
6044 fail-fast : false
6145 matrix :
6246 model :
63- - meta-llama/llama-3.2-3b-instruct # $0.0100/$0.0200 [ 128K]
64- - mistralai/mistral-nemo # $0.0100/$0.0270 [ 128K]
6547 - google/gemma-3n-e4b-it # $0.0200/$0.0400 [ 32K]
6648 - google/gemma-3-4b-it # $0.0200/$0.0400 [ 128K]
6749 - mistralai/ministral-3b # $0.0400/$0.0400 [ 128K]
68- - mistralai/mistral-7b-instruct-v0.3 # $0.0280/$0.0540 [ 32K]
6950 - mistralai/mistral-small-3.2-24b-instruct # $0.0500/$0.1000 [ 32K]
7051 - google/gemma-3-12b-it # $0.0500/$0.1000 [ 128K]
71- - microsoft/phi-3-mini-128k-instruct # $0.1000/$0.1000 [ 128K]
7252 - qwen/qwen3-8b # $0.0350/$0.1380 [ 128K]
73- - amazon/nova-micro-v1 # $0.0350/$0.1400 [ 128K]
74- - microsoft/phi-4 # $0.0700/$0.1400 [ 16K]
7553 - google/gemini-flash-1.5-8b # $0.0380/$0.1500 [1000K]
76- - amazon/nova-lite-v1 # $0.0600/$0.2400 [ 300K]
77- - qwen/qwen3-14b # $0.0800/$0.2400 [ 40K]
78- - mistralai/mixtral-8x7b-instruct # $0.2400/$0.2400 [ 32K]
79- - meta-llama/llama-3.3-70b-instruct # $0.0700/$0.2500 [ 128K]
80- - qwen/qwen3-30b-a3b # $0.0800/$0.2900 [ 40K]
81- - google/gemini-2.0-flash-lite-001 # $0.0750/$0.3000 [1000K]
82- - meta-llama/llama-4-scout # $0.0800/$0.3000 [ 320K]
83- - google/gemini-2.0-flash-001 # $0.1000/$0.4000 [1000K]
84- - openai/gpt-4.1-nano # $0.1000/$0.4000 [1000K]
85- - google/gemini-2.5-flash-lite-preview-06-17 # $0.1000/$0.4000 [1000K]
8654
8755 steps :
8856 - uses : actions/checkout@v4
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