Mistral Devstral MediumvsGPT OSS 120B
GPT OSS 120B is cheaper than Mistral Devstral Medium at $0.18/M vs $0.4/M input tokens.
| Spec | Mistral Devstral Medium | GPT OSS 120B |
|---|---|---|
| Input price | $0.4/M tokens | $0.18/M tokens |
| Output price | $2/M tokens | $0.8/M tokens |
| Context window | — | 131K tokens |
| Weights | — | Open |
| Free API (OpenRouter) | No | No |
| Released | Jul 2025 | Aug 2025 |
Our Verdict
GPT OSS 120B
Mistral Devstral MediumRunner-up
Not enough votes to call it. On the specs, GPT OSS 120B has the edge: bigger model tier, bigger context window, major provider backing.
Mistral Devstral Medium takes Reasoning.
Too close to call
API pricing
Cost per 1M tokens
Mistral Devstral Medium
Input
$0.40
Output
$2.00
GPT OSS 120B
Input
$0.18
2.2× cheaper
Output
$0.80
2.5× cheaper
GPT OSS 120B is cheaper on both: 2.2× input, 2.5× output.
Where to run it
18 hosts, cheapest first
Mistral Devstral Medium
No hosts listed on OpenRouter.
GPT OSS 120B18 hosts
AkashMLbf16$0.03 in$0.17 out131k99.9% upCoreWeavefp4$0.03 in$0.17 out131k99.9% upDeepInfrabf16$0.04 in$0.17 out131k99.4% upDigitalOcean$0.06 in$0.39 out128k99.7% upMancerfp8$0.06 in$0.50 out131k99.6% upGoogle Vertex AI$0.09 in$0.36 out131k99.9% up
12 more hostsFewer hosts
Basetenfp4$0.10 in$0.50 out128k100% upParasailfp4$0.10 in$0.75 out131k100% upSambaNova$0.14 in$0.95 out131k96.9% upAmazon Bedrock$0.15 in$0.60 out131k98.1% upGroq$0.15 in$0.60 out131k100% upNebiusfp4$0.15 in$0.60 out131k96.2% upTogether$0.15 in$0.60 out131k98.8% upCerebrasfp16$0.35 in$0.75 out131k100% upNovitafp4degraded$0.05 in$0.25 out131k86.7% upSiliconFlowfp8degraded$0.05 in$0.45 out131k84.3% upPhaladegraded$0.15 in$0.60 out131k88.8% upMaradegraded$0.15 in$0.75 out131k86% up
Per million tokens. Prices and uptime via OpenRouter, checked 9 Sep 2026.
Writing DNA
Style Comparison
Similarity
49%
GPT OSS 120B uses 15.4x more emoji
Mistral Devstral Medium
GPT OSS 120B
50%Vocabulary52%
18wSentence Length19w
0.50Hedging0.28
4.1Bold7.4
4.8Lists1.8
0.00Emoji0.15
0.19Headings0.73
0.29Transitions0.17
Based on 27 + 21 text responses
Research
What we learned reading every model
FAQ
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