GPT OSS 120BvsQwen3 Coder Plus
GPT OSS 120B is cheaper than Qwen3 Coder Plus at $0.18/M vs $1/M input tokens.
| Spec | GPT OSS 120B | Qwen3 Coder Plus |
|---|---|---|
| Input price | $0.18/M tokens | $1/M tokens |
| Output price | $0.8/M tokens | $5/M tokens |
| Context window | 131K tokens | 128K tokens |
| Weights | Open | Closed |
| Free API (OpenRouter) | No | No |
| Released | Aug 2025 | Sep 2025 |
Our Verdict
GPT OSS 120B
Qwen3 Coder PlusRunner-up
Not enough votes to call it. On the specs, GPT OSS 120B has the edge: bigger model tier, major provider backing.
GPT OSS 120B costs 6.3x less per token.
Too close to call
Reviewing agent-written code?See a Brief PR report
API pricing
Cost per 1M tokens
GPT OSS 120B
Input
$0.18
5.6× cheaper
Output
$0.80
6.3× cheaper
Qwen3 Coder Plus
Input
$1.00
Output
$5.00
GPT OSS 120B is cheaper on both: 5.6× input, 6.3× output.
Where to run it
20 hosts, cheapest first
GPT OSS 120B19 hosts
AkashMLbf16$0.03 in$0.17 out131k100% upCoreWeavefp4$0.03 in$0.17 out131k100% upDekaLLMbf16$0.03 in$0.18 out131k99.1% upDeepInfrabf16$0.04 in$0.17 out131k99.7% upNovitafp4$0.05 in$0.25 out131k95.5% upDigitalOcean$0.06 in$0.39 out128k100% up
13 more hostsFewer hosts
Mancerfp8$0.06 in$0.50 out131k98% upGoogle Vertex AI$0.09 in$0.36 out131k99.9% upBasetenfp4$0.10 in$0.50 out128k100% upParasailfp4$0.10 in$0.75 out131k100% upSambaNova$0.14 in$0.95 out131k99% upAmazon Bedrock$0.15 in$0.60 out131k100% upGroq$0.15 in$0.60 out131k100% upNebiusfp4$0.15 in$0.60 out131k99.8% upPhala$0.15 in$0.60 out131k96.1% upSiliconFlowfp8$0.15 in$0.60 out131k95.3% upCerebrasfp16$0.35 in$0.75 out131k100% upTogetherdegraded$0.15 in$0.60 out131k97.7% upMaradegraded$0.15 in$0.75 out131k82% up
Qwen3 Coder Plus1 host
Per million tokens. Prices and uptime via OpenRouter, checked 13 Sep 2026.
Writing DNA
Style Comparison
Similarity
34%
Qwen3 Coder Plus uses 3.3x more sentence length
GPT OSS 120B
Qwen3 Coder Plus
52%Vocabulary67%
19wSentence Length62w
0.28Hedging0.69
7.4Bold3.3
1.8Lists5.3
0.15Emoji0.12
0.73Headings1.60
0.17Transitions0.14
Based on 21 + 28 text responses
Research
What we learned reading every model
FAQ
Common questions
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