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  5. Claude Sonnet 4.5vsGPT OSS 20B
Updated Sep 2025

Claude Sonnet 4.5vsGPT OSS 20B

GPT OSS 20B is cheaper than Claude Sonnet 4.5 at $0.02/M vs $3/M input tokens.

Claude Sonnet 4.5 and GPT OSS 20B compared across 43 shared prompts
SpecClaude Sonnet 4.5GPT OSS 20B
Input price$3/M tokens$0.02/M tokens
Output price$15/M tokens$0.1/M tokens
Context window200K tokens131K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2025Aug 2025
Our Verdict
Claude Sonnet 4.5
Claude Sonnet 4.5
GPT OSS 20B
GPT OSS 20BRunner-up

Not enough votes to call it. On the specs, Claude Sonnet 4.5 has the edge: newer, bigger context window.

GPT OSS 20B costs 150x less per token.

Too close to call
API pricing

Cost per 1M tokens

Claude Sonnet 4.5
Input
$3.00
Output
$15.00
GPT OSS 20B
Input
$0.02
150× cheaper
Output
$0.10
150× cheaper

GPT OSS 20B is cheaper on both: 150× input, 150× output.

Where to run it

16 hosts, cheapest first

Claude Sonnet 4.54 hosts
HostInOutContextUptime
Amazon Bedrock$3.00 in·$15.00 out·1M·99.9% upAzure AI Foundry$3.00 in·$15.00 out·200k·99% upAnthropic$3.00 in·$15.00 out·1M·99.9% upGoogle Vertex AI$3.00 in·$15.00 out·1M·99.1% up
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

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

Writing DNA

Style Comparison

Similarity
35%

Claude Sonnet 4.5 uses 5.5x more sentence length

Claude Sonnet 4.5
GPT OSS 20B
64%Vocabulary54%
94wSentence Length17w
0.48Hedging0.26
4.9Bold5.9
8.0Lists3.3
0.45Emoji0.10
1.91Headings0.75
0.07Transitions0.32
Based on 20 + 21 text responses
Research

What we learned reading every model

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