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  5. Qwen3 235B A22B 2507vsQwen3.5 Plus 2026-04-20
Updated Apr 2026

Qwen3 235B A22B 2507vsQwen3.5 Plus 2026-04-20

Qwen3 235B A22B 2507 is cheaper than Qwen3.5 Plus 2026-04-20 at $0.00015/M vs $0.4/M input tokens.

Qwen3 235B A22B 2507 and Qwen3.5 Plus 2026-04-20 compared across 36 shared prompts
SpecQwen3 235B A22B 2507Qwen3.5 Plus 2026-04-20
Input price$0.00015/M tokens$0.4/M tokens
Output price$0.00085/M tokens$2.4/M tokens
Context window—1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJul 2025Apr 2026
Our Verdict
Qwen3 235B A22B 2507
Qwen3 235B A22B 2507
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20

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

Qwen3 235B A22B 2507 costs 2824x 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
2667× cheaper
Output
$0.001
2824× cheaper
Qwen3.5 Plus 2026-04-20
Input
$0.40
Output
$2.40

Qwen3 235B A22B 2507 is cheaper on both: 2667× input, 2824× output.

Where to run it

11 hosts, cheapest first

Qwen3 235B A22B 250710 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.09 in·$0.35 out·262k·99.3% upNNovitafp8$0.09 in·$0.58 out·131k·97.8% upPParasailfp8$0.14 in·$0.80 out·131k·99.9% upAlibaba Cloud$0.15 in·$0.60 out·131k·100% upVVenicefp8$0.15 in·$0.75 out·128k·96.1% upNNebiusfp8$0.20 in·$0.60 out·262k·97.1% up
4 more hostsFewer hosts
AAtlasCloudfp8$0.20 in·$0.88 out·131k·99.4% upSStreamLake$0.21 in·$0.84 out·128k·99.5% upGoogle Vertex AI$0.22 in·$0.88 out·262k·99.9% upDDeepInfrafp8degraded$0.09 in·$0.55 out·262k·94.8% up
Qwen3.5 Plus 2026-04-201 host
HostInOutContextUptime
Alibaba Cloud$0.30 in·$1.80 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 12 Sep 2026.

Writing DNA

Style Comparison

Similarity
60%

Qwen3.5 Plus 2026-04-20 uses 3.4x more emoji

Qwen3 235B A22B 2507
Qwen3.5 Plus 2026-04-20
57%Vocabulary59%
18wSentence Length15w
0.40Hedging0.28
5.9Bold4.4
4.8Lists2.5
0.45Emoji1.53
1.07Headings0.76
0.11Transitions0.04
Based on 18 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

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