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  5. GPT OSS 20BvsQwen3 Next 80B A3B Thinking
Updated Sep 2025

GPT OSS 20BvsQwen3 Next 80B A3B Thinking

GPT OSS 20B is cheaper than Qwen3 Next 80B A3B Thinking at $0.02/M vs $0.15/M input tokens.

GPT OSS 20B and Qwen3 Next 80B A3B Thinking compared across 53 shared prompts
SpecGPT OSS 20BQwen3 Next 80B A3B Thinking
Input price$0.02/M tokens$0.15/M tokens
Output price$0.1/M tokens$1.5/M tokens
Context window131K tokens66K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedAug 2025Sep 2025
Our Verdict
GPT OSS 20B
GPT OSS 20B
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B Thinking

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

GPT OSS 20B costs 15x less per token.

Too close to call
API pricing

Cost per 1M tokens

GPT OSS 20B
Input
$0.02
7.5× cheaper
Output
$0.10
15× cheaper
Qwen3 Next 80B A3B Thinking
Input
$0.15
Output
$1.50

GPT OSS 20B is cheaper on both: 7.5× input, 15× output.

Where to run it

14 hosts, cheapest first

GPT OSS 20B12 hosts
HostInOutContextUptime
AAkashMLfp4$0.02 in·$0.10 out·131k·92.3% upDDarkbloomfp8$0.02 in·$0.10 out·131k·99.7% upCCoreWeavefp4$0.03 in·$0.13 out·131k·100% upDDeepInfrabf16$0.03 in·$0.14 out·131k·100% upPParasailfp4$0.03 in·$0.15 out·131k·99.9% upNNovitafp4$0.04 in·$0.15 out·131k·99.9% up
6 more hostsFewer hosts
PPhala$0.04 in·$0.15 out·131k·100% upSSiliconFlowfp8$0.04 in·$0.18 out·131k·97.2% upTTogether$0.05 in·$0.20 out·131k·96.9% upAmazon Bedrock$0.07 in·$0.15 out·131k·99.9% upGoogle Vertex AI$0.07 in·$0.25 out·131k·99.7% upGroq$0.07 in·$0.30 out·131k·99.8% up
Qwen3 Next 80B A3B Thinking2 hosts
HostInOutContextUptime
Alibaba Cloud$0.15 in·$1.20 out·131k·98.9% upGoogle Vertex AI$0.15 in·$1.20 out·262k·100% up

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

Writing DNA

Style Comparison

Similarity
49%

Qwen3 Next 80B A3B Thinking uses 9.0x more emoji

GPT OSS 20B
Qwen3 Next 80B A3B Thinking
54%Vocabulary56%
17wSentence Length16w
0.26Hedging0.32
5.9Bold5.1
3.3Lists3.9
0.10Emoji0.92
0.75Headings0.75
0.32Transitions0.08
Based on 21 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

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