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  5. GPT-5 MinivsQwen3 235B A22B 2507
Updated Aug 2025

GPT-5 MinivsQwen3 235B A22B 2507

Qwen3 235B A22B 2507 is cheaper than GPT-5 Mini at $0.00015/M vs $0.25/M input tokens.

GPT-5 Mini and Qwen3 235B A22B 2507 compared across 36 shared prompts
SpecGPT-5 MiniQwen3 235B A22B 2507
Input price$0.25/M tokens$0.00015/M tokens
Output price$2/M tokens$0.00085/M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedAug 2025Jul 2025
Our Verdict
Qwen3 235B A22B 2507
Qwen3 235B A22B 2507
GPT-5 Mini
GPT-5 MiniRunner-up

Not enough votes to call it. On the specs, Qwen3 235B A22B 2507 has the edge: bigger model tier.

Qwen3 235B A22B 2507 wins Reasoning and Image Generation. Qwen3 235B A22B 2507 costs 2353x less per token.

Too close to call
API pricing

Cost per 1M tokens

GPT-5 Mini
Input
$0.25
Output
$2.00
Qwen3 235B A22B 2507
Input
$0.000
1667× cheaper
Output
$0.001
2353× cheaper

Qwen3 235B A22B 2507 is cheaper on both: 1667× input, 2353× output.

Where to run it

12 hosts, cheapest first

GPT-5 Mini2 hosts
HostInOutContextUptime
Azure AI Foundry$0.25 in·$2.00 out·400k·99.9% upOpenAI$0.25 in·$2.00 out·400k·100% up
Qwen3 235B A22B 250710 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.09 in·$0.35 out·262k·98.3% upPParasailfp8$0.14 in·$0.80 out·131k·99.8% upAlibaba Cloud$0.15 in·$0.60 out·131k·100% upAAtlasCloudfp8$0.20 in·$0.88 out·131k·97.6% upSStreamLake$0.21 in·$0.84 out·128k·98.3% upGoogle Vertex AI$0.22 in·$0.88 out·262k·100% up
4 more hostsFewer hosts
DDeepInfrafp8degraded$0.09 in·$0.55 out·262k·95.4% upNNovitafp8degraded$0.09 in·$0.58 out·131k·98.4% upVVenicefp8degraded$0.15 in·$0.75 out·128k·95.6% upNNebiusfp8degraded$0.20 in·$0.60 out·262k·63.7% up

Per million tokens. Prices and uptime via OpenRouter, checked 8 Sep 2026.

Writing DNA

Style Comparison

Similarity
54%

Qwen3 235B A22B 2507 uses 594.2x more bold

GPT-5 Mini
Qwen3 235B A22B 2507
62%Vocabulary57%
22wSentence Length18w
0.21Hedging0.40
0.0Bold5.9
3.8Lists4.8
0.00Emoji0.45
0.00Headings1.07
0.04Transitions0.11
Based on 21 + 18 text responses
Research

What we learned reading every model

FAQ

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