DeepSeek V4 ProvsGemini 2.5 Flash Lite Preview 09-2025
Gemini 2.5 Flash Lite Preview 09-2025 is cheaper than DeepSeek V4 Pro at $0.1/M vs $1.74/M input tokens.
| Spec | DeepSeek V4 Pro | Gemini 2.5 Flash Lite Preview 09-2025 |
|---|---|---|
| Input price | $1.74/M tokens | $0.1/M tokens |
| Output price | $3.48/M tokens | $0.4/M tokens |
| Context window | 1.0M tokens | 1.0M tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Sep 2025 |
Our Verdict
DeepSeek V4 Pro
Gemini 2.5 Flash Lite Preview 09-2025Runner-up
Not enough votes to call it. On the specs, DeepSeek V4 Pro has the edge: bigger model tier, newer.
Gemini 2.5 Flash Lite Preview 09-2025 costs 8.7x less per token.
Too close to call
API pricing
Cost per 1M tokens
DeepSeek V4 Pro
Input
$1.74
Output
$3.48
Gemini 2.5 Flash Lite Preview 09-2025
Input
$0.10
17× cheaper
Output
$0.40
8.7× cheaper
Gemini 2.5 Flash Lite Preview 09-2025 is cheaper on both: 17× input, 8.7× output.
Where to run it
15 hosts, cheapest first
DeepSeek V4 Pro15 hosts
Baidu Qianfanfp8$0.87 in$1.74 out1M99.9% upDigitalOcean$0.87 in$1.74 out1M99% upStreamLakefp8$0.87 in$1.74 out1M99.1% upGMI Cloudfp8$0.96 in$1.91 out1M97.9% upDeepInfrafp8$1.30 in$2.60 out1M99.2% upAlibaba Cloudfp8$1.42 in$2.83 out1M99.9% up
9 more hostsFewer hosts
SiliconFlowfp8$1.50 in$3.13 out1M97% upNovitafp8$1.60 in$3.20 out1M100% upVenice$1.65 in$3.30 out1M96.5% upAtlasCloudfp4$1.68 in$3.38 out1M96.1% upBasetenfp4$1.74 in$3.48 out1M98.8% upNextBitfp8$1.80 in$3.55 out1M100% upAzure AI Foundry$1.91 in$3.83 out1M98.9% upFireworksdegraded$1.20 in$1.20 out1M0% upParasailfp8degraded$1.74 in$3.48 out1M98.9% up
Gemini 2.5 Flash Lite Preview 09-2025
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 9 Sep 2026.
Writing DNA
Style Comparison
Similarity
50%
DeepSeek V4 Pro uses 3.5x more emoji
DeepSeek V4 Pro
Gemini 2.5 Flash Lite Preview 09-2025
57%Vocabulary54%
18wSentence Length20w
0.52Hedging0.34
3.3Bold6.4
2.3Lists2.8
0.04Emoji0.00
0.45Headings0.70
0.15Transitions0.09
Based on 27 + 28 text responses
Research
What we learned reading every model
FAQ
Common questions
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