GPT OSS 120BvsQwen3 Next 80B A3B Instruct
Qwen3 Next 80B A3B Instruct wins 63% of 24 blind community votes against GPT OSS 120B on Rival.
| Spec | GPT OSS 120B | Qwen3 Next 80B A3B Instruct |
|---|---|---|
| Win rate | 38% | 63% |
| Input price | $0.18/M tokens | $0.15/M tokens |
| Output price | $0.8/M tokens | $1.5/M tokens |
| Context window | 131K tokens | 66K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Aug 2025 | Sep 2025 |
Our Verdict
Qwen3 Next 80B A3B InstructWinner
GPT OSS 120BRunner-up
Pick Qwen3 Next 80B A3B Instruct. In 24 blind votes, Qwen3 Next 80B A3B Instruct wins 63% of the time. That's not luck.
Pick GPT OSS 120B for Web Design. Pick Qwen3 Next 80B A3B Instruct for Reasoning, Image Generation.
Clear winner
API pricing
Cost per 1M tokens
GPT OSS 120B
Input
$0.18
Output
$0.80
1.9× cheaper
Qwen3 Next 80B A3B Instruct
Input
$0.15
1.2× cheaper
Output
$1.50
Qwen3 Next 80B A3B Instruct wins input (1.2× cheaper)·GPT OSS 120B wins output (1.9× cheaper)
Where to run it
23 hosts, cheapest first
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
64%
Qwen3 Next 80B A3B Instruct uses 6.6x more emoji
GPT OSS 120B
Qwen3 Next 80B A3B Instruct
52%Vocabulary54%
19wSentence Length18w
0.28Hedging0.33
7.4Bold5.6
1.8Lists3.7
0.15Emoji1.01
0.73Headings0.91
0.17Transitions0.10
Based on 21 + 27 text responses
Research
What we learned reading every model
FAQ
Common questions
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