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  5. GPT OSS 120BvsQwen3 Max
Updated Sep 2025

GPT OSS 120BvsQwen3 Max

GPT OSS 120B is cheaper than Qwen3 Max at $0.18/M vs $1.2/M input tokens.

GPT OSS 120B and Qwen3 Max compared across 54 shared prompts
SpecGPT OSS 120BQwen3 Max
Input price$0.18/M tokens$1.2/M tokens
Output price$0.8/M tokens$6/M tokens
Context window131K tokens256K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedAug 2025Sep 2025
Our Verdict
GPT OSS 120B
GPT OSS 120B
Qwen3 Max
Qwen3 Max

Not enough votes to call it. On the specs, nothing separates them.

GPT OSS 120B costs 7.5x less per token.

Too close to call
API pricing

Cost per 1M tokens

GPT OSS 120B
Input
$0.18
6.7× cheaper
Output
$0.80
7.5× cheaper
Qwen3 Max
Input
$1.20
Output
$6.00

GPT OSS 120B is cheaper on both: 6.7× input, 7.5× output.

Where to run it

19 hosts, cheapest first

GPT OSS 120B18 hosts
HostInOutContextUptime
AAkashMLbf16$0.03 in·$0.17 out·131k·99.9% upCCoreWeavefp4$0.03 in·$0.17 out·131k·99.9% upDDeepInfrabf16$0.04 in·$0.17 out·131k·99.4% upDDigitalOcean$0.06 in·$0.39 out·128k·99.7% upMMancerfp8$0.06 in·$0.50 out·131k·99.6% upGoogle Vertex AI$0.09 in·$0.36 out·131k·99.9% up
12 more hostsFewer hosts
BBasetenfp4$0.10 in·$0.50 out·128k·100% upPParasailfp4$0.10 in·$0.75 out·131k·100% upSSambaNova$0.14 in·$0.95 out·131k·96.9% upAmazon Bedrock$0.15 in·$0.60 out·131k·98.1% upGroq$0.15 in·$0.60 out·131k·100% upNNebiusfp4$0.15 in·$0.60 out·131k·96.2% upTTogether$0.15 in·$0.60 out·131k·98.8% upCCerebrasfp16$0.35 in·$0.75 out·131k·100% upNNovitafp4degraded$0.05 in·$0.25 out·131k·86.7% upSSiliconFlowfp8degraded$0.05 in·$0.45 out·131k·84.3% upPPhaladegraded$0.15 in·$0.60 out·131k·88.8% upMMaradegraded$0.15 in·$0.75 out·131k·86% up
Qwen3 Max1 host
HostInOutContextUptime
Alibaba Cloud$0.78 in·$3.90 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 9 Sep 2026.

Writing DNA

Style Comparison

Similarity
58%

Qwen3 Max uses 4.5x more emoji

GPT OSS 120B
Qwen3 Max
52%Vocabulary60%
19wSentence Length28w
0.28Hedging0.43
7.4Bold5.4
1.8Lists3.7
0.15Emoji0.69
0.73Headings0.70
0.17Transitions0.14
Based on 21 + 28 text responses
Research

What we learned reading every model

FAQ

Common questions

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