Gemini 2.5 Flash Preview 09-2025vsGPT OSS 120B
GPT OSS 120B is cheaper than Gemini 2.5 Flash Preview 09-2025 at $0.18/M vs $0.3/M input tokens.
| Spec | Gemini 2.5 Flash Preview 09-2025 | GPT OSS 120B |
|---|---|---|
| Input price | $0.3/M tokens | $0.18/M tokens |
| Output price | $2.5/M tokens | $0.8/M tokens |
| Context window | 1.0M tokens | 131K tokens |
| Weights | — | Open |
| Free API (OpenRouter) | No | No |
| Released | Sep 2025 | Aug 2025 |
Our Verdict
Gemini 2.5 Flash Preview 09-2025
GPT OSS 120BRunner-up
Not enough votes to call it. On the specs, Gemini 2.5 Flash Preview 09-2025 has the edge: newer, bigger context window.
GPT OSS 120B costs 3.1x less per token.
Too close to call
API pricing
Cost per 1M tokens
Gemini 2.5 Flash Preview 09-2025
Input
$0.30
Output
$2.50
GPT OSS 120B
Input
$0.18
1.7× cheaper
Output
$0.80
3.1× cheaper
GPT OSS 120B is cheaper on both: 1.7× input, 3.1× output.
Where to run it
18 hosts, cheapest first
Gemini 2.5 Flash Preview 09-2025
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
70%
Gemini 2.5 Flash Preview 09-2025 uses 1.7x more lists
Gemini 2.5 Flash Preview 09-2025
GPT OSS 120B
53%Vocabulary52%
19wSentence Length19w
0.30Hedging0.28
5.8Bold7.4
3.1Lists1.8
0.14Emoji0.15
0.93Headings0.73
0.22Transitions0.17
Based on 22 + 21 text responses
Research
What we learned reading every model
FAQ
Common questions
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