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  5. DeepSeek V3.1vsGemini 2.5 Flash Preview 05-20 (thinking)
Updated Aug 2025

DeepSeek V3.1vsGemini 2.5 Flash Preview 05-20 (thinking)

Gemini 2.5 Flash Preview 05-20 (thinking) is cheaper than DeepSeek V3.1 at $0.15/M vs $0.2/M input tokens.

DeepSeek V3.1 and Gemini 2.5 Flash Preview 05-20 (thinking) compared across 12 shared prompts
SpecDeepSeek V3.1Gemini 2.5 Flash Preview 05-20 (thinking)
Input price$0.2/M tokens$0.15/M tokens
Output price$0.8/M tokens$3.5/M tokens
Context window164K tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedAug 2025May 2025
Our Verdict
DeepSeek V3.1
DeepSeek V3.1
Gemini 2.5 Flash Preview 05-20 (thinking)
Gemini 2.5 Flash Preview 05-20 (thinking)Runner-up

Not enough votes to call it. On the specs, DeepSeek V3.1 has the edge: bigger model tier, newer.

DeepSeek V3.1 costs 4.4x less per token.

Too close to call
API pricing

Cost per 1M tokens

DeepSeek V3.1
Input
$0.20
Output
$0.80
4.4× cheaper
Gemini 2.5 Flash Preview 05-20 (thinking)
Input
$0.15
1.3× cheaper
Output
$3.50

Gemini 2.5 Flash Preview 05-20 (thinking) wins input (1.3× cheaper)·DeepSeek V3.1 wins output (4.4× cheaper)

Where to run it

8 hosts, cheapest first

DeepSeek V3.18 hosts
HostInOutContextUptime
DDeepInfrafp4$0.25 in·$0.95 out·164k·99.9% upNNovitafp8$0.27 in·$1.00 out·131k·100% upSSiliconFlowfp8$0.27 in·$1.00 out·164k·98.3% upAAtlasCloudfp8$0.30 in·$0.95 out·131k·99.5% upCCoreWeavefp8$0.55 in·$1.65 out·161k·100% upMMara$0.60 in·$1.70 out·131k·94.9% up
2 more hostsFewer hosts
SSambaNovafp8$0.65 in·$1.50 out·131k·98.1% upGoogle Vertex AIdegraded$0.60 in·$1.70 out·164k·0% up
Gemini 2.5 Flash Preview 05-20 (thinking)

No hosts listed on OpenRouter.

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

Writing DNA

Style Comparison

Similarity
41%

DeepSeek V3.1 uses 41.5x more hedging

DeepSeek V3.1
Gemini 2.5 Flash Preview 05-20 (thinking)
53%Vocabulary70%
16wSentence Length11w
0.41Hedging0.00
4.3Bold4.2
3.8Lists7.3
0.02Emoji0.00
0.40Headings0.00
0.20Transitions0.00
Based on 25 + 3 text responses
Research

What we learned reading every model

FAQ

Common questions

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