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  5. DeepSeek V3.1vsGemini 2.5 Pro Preview 06-05
Updated Aug 2025

DeepSeek V3.1vsGemini 2.5 Pro Preview 06-05

DeepSeek V3.1 is cheaper than Gemini 2.5 Pro Preview 06-05 at $0.2/M vs $1.25/M input tokens.

DeepSeek V3.1 and Gemini 2.5 Pro Preview 06-05 compared across 44 shared prompts
SpecDeepSeek V3.1Gemini 2.5 Pro Preview 06-05
Input price$0.2/M tokens$1.25/M tokens
Output price$0.8/M tokens$10/M tokens
Context window164K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedAug 2025Jun 2025
SWE-bench Verified66.0%67.2%
Our Verdict
DeepSeek V3.1
DeepSeek V3.1
Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05

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

DeepSeek V3.1 costs 13x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V3.1
Input
$0.20
6.3× cheaper
Output
$0.80
13× cheaper
Gemini 2.5 Pro Preview 06-05
Input
$1.25
Output
$10.00

DeepSeek V3.1 is cheaper on both: 6.3× input, 13× output.

Where to run it

10 hosts, cheapest first

DeepSeek V3.18 hosts
HostInOutContextUptime
DDeepInfrafp4$0.25 in·$0.95 out·164k·100% upNNovitafp8$0.27 in·$1.00 out·131k·100% upSSiliconFlowfp8$0.27 in·$1.00 out·164k·97.8% upAAtlasCloudfp8$0.30 in·$0.95 out·131k·99.3% upCCoreWeavefp8$0.55 in·$1.65 out·161k·99.9% upMMara$0.60 in·$1.70 out·131k·95.6% up
2 more hostsFewer hosts
SSambaNovafp8$0.65 in·$1.50 out·131k·97.5% upGoogle Vertex AIdegraded$0.60 in·$1.70 out·164k·0% up
Gemini 2.5 Pro Preview 06-052 hosts
HostInOutContextUptime
Google AI Studio$0.63 in·$5.00 out·1M·100% upGoogle Vertex AI$1.25 in·$10.00 out·1M·99.1% up

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

Writing DNA

Style Comparison

Similarity
77%

DeepSeek V3.1 uses 2.2x more emoji

DeepSeek V3.1
Gemini 2.5 Pro Preview 06-05
53%Vocabulary51%
16wSentence Length15w
0.41Hedging0.31
4.3Bold4.8
3.8Lists4.1
0.02Emoji0.00
0.40Headings0.98
0.20Transitions0.05
Based on 25 + 20 text responses
Research

What we learned reading every model

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