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  5. DeepSeek V4 FlashvsQwen3.7 Max
Updated May 2026

DeepSeek V4 FlashvsQwen3.7 Max

DeepSeek V4 Flash is cheaper than Qwen3.7 Max at $0.14/M vs $2.5/M input tokens.

DeepSeek V4 Flash and Qwen3.7 Max compared across 54 shared prompts
SpecDeepSeek V4 FlashQwen3.7 Max
Input price$0.14/M tokens$2.5/M tokens
Output price$0.28/M tokens$7.5/M tokens
Context window1.0M tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedApr 2026May 2026
Our Verdict
DeepSeek V4 Flash
DeepSeek V4 Flash
Qwen3.7 Max
Qwen3.7 Max

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

DeepSeek V4 Flash costs 27x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V4 Flash
Input
$0.14
18× cheaper
Output
$0.28
27× cheaper
Qwen3.7 Max
Input
$2.50
Output
$7.50

DeepSeek V4 Flash is cheaper on both: 18× input, 27× output.

Where to run it

17 hosts, cheapest first

DeepSeek V4 Flash16 hosts
HostInOutContextUptime
DDigitalOcean$0.07 in·$0.17 out·1M·98.1% upSStreamLakefp8$0.09 in·$0.18 out·1M·94.5% upDDeepInfrafp8$0.09 in·$0.18 out·1M·99.4% upGGMI Cloudfp8$0.09 in·$0.18 out·1M·99.3% upWWafer$0.10 in·$0.25 out·1M·99.3% upSSiliconFlowfp8$0.13 in·$0.28 out·1M·99.4% up
10 more hostsFewer hosts
Alibaba Cloudfp8$0.13 in·$0.27 out·1M·96.9% upVVenice$0.14 in·$0.28 out·1M·99.3% upAAtlasCloudfp4$0.14 in·$0.28 out·1M·97.6% upBaidu Qianfanfp8$0.14 in·$0.28 out·1M·99.7% upNNovitafp8$0.14 in·$0.28 out·1M·99.9% upPParasailfp8$0.14 in·$0.28 out·1M·99.9% upNNextBitfp8$0.15 in·$0.35 out·1M·99.5% upMMancerfp8$0.19 in·$0.50 out·1M·99% upPPhala$0.20 in·$0.40 out·1M·99.9% upAzure AI Foundry$0.21 in·$0.56 out·1M·91.6% up
Qwen3.7 Max1 host
HostInOutContextUptime
Alibaba Cloud$1.48 in·$4.42 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 11 Sep 2026.

Writing DNA

Style Comparison

Similarity
65%

Qwen3.7 Max uses 14.8x more emoji

DeepSeek V4 Flash
Qwen3.7 Max
54%Vocabulary54%
17wSentence Length19w
0.52Hedging0.22
3.6Bold5.0
2.6Lists2.5
0.00Emoji0.15
0.41Headings0.91
0.19Transitions0.11
Based on 27 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

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