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  5. Qwen3 235B A22B 2507vsQwen3.8 2.4T A95B
Updated Aug 2026

Qwen3 235B A22B 2507vsQwen3.8 2.4T A95B

Qwen3 235B A22B 2507 is cheaper than Qwen3.8 2.4T A95B at $0.00015/M vs $2/M input tokens.

Qwen3 235B A22B 2507 and Qwen3.8 2.4T A95B compared across 36 shared prompts
SpecQwen3 235B A22B 2507Qwen3.8 2.4T A95B
Input price$0.00015/M tokens$2/M tokens
Output price$0.00085/M tokens$6/M tokens
Context window—1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJul 2025Aug 2026
Our Verdict
Qwen3 235B A22B 2507
Qwen3 235B A22B 2507
Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B

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

Qwen3 235B A22B 2507 costs 7059x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Qwen3 235B A22B 2507
Input
$0.000
13333× cheaper
Output
$0.001
7059× cheaper
Qwen3.8 2.4T A95B
Input
$2.00
Output
$6.00

Qwen3 235B A22B 2507 is cheaper on both: 13333× input, 7059× output.

Where to run it

17 hosts, cheapest first

Qwen3 235B A22B 250710 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.09 in·$0.35 out·262k·99.2% upDDeepInfrafp8$0.09 in·$0.55 out·262k·98.1% upNNovitafp8$0.09 in·$0.58 out·131k·99.4% upPParasailfp8$0.14 in·$0.80 out·131k·100% upAlibaba Cloud$0.15 in·$0.60 out·131k·100% upVVenicefp8$0.15 in·$0.75 out·128k·98.3% up
4 more hostsFewer hosts
NNebiusfp8$0.20 in·$0.60 out·262k·98.5% upAAtlasCloudfp8$0.20 in·$0.88 out·131k·99.3% upSStreamLake$0.21 in·$0.84 out·128k·99.4% upGoogle Vertex AI$0.22 in·$0.88 out·262k·100% up
Qwen3.8 2.4T A95B7 hosts
HostInOutContextUptime
Alibaba Cloud$2.00 in·$6.00 out·1M·100% upDDeepInfrafp4$2.00 in·$6.00 out·262k·99.9% upModal$2.00 in·$6.00 out·1M·100% upNNovita$2.00 in·$6.00 out·1M·99.9% upSSiliconFlowfp8$2.00 in·$6.00 out·1M·100% upTTogether$2.00 in·$6.00 out·1M·99.9% up
1 more hostFewer hosts
VVenice$2.00 in·$6.00 out·262k·98.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Sep 2026.

Writing DNA

Style Comparison

Similarity
60%

Qwen3 235B A22B 2507 uses 44.8x more emoji

Qwen3 235B A22B 2507
Qwen3.8 2.4T A95B
57%Vocabulary53%
18wSentence Length18w
0.40Hedging0.83
5.9Bold3.1
4.8Lists4.3
0.45Emoji0.00
1.07Headings1.34
0.11Transitions0.05
Based on 18 + 27 text responses
Research

What we learned reading every model

FAQ

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