DeepSeek V3.2vsOpenRouter Fusion · Quality (Jun 2026)
OpenRouter Fusion · Quality (Jun 2026) has a larger context window than DeepSeek V3.2 (256K tokens vs 131K tokens).
| Spec | DeepSeek V3.2 | OpenRouter Fusion · Quality (Jun 2026) |
|---|---|---|
| Input price | $0.28/M tokens | — |
| Output price | $0.42/M tokens | — |
| Context window | 131K tokens | 256K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Dec 2025 | Jun 2026 |
Our Verdict
OpenRouter Fusion · Quality (Jun 2026)
DeepSeek V3.2Runner-up
Not enough votes to call it. On the specs, OpenRouter Fusion · Quality (Jun 2026) has the edge: bigger model tier, newer, bigger context window.
Too close to call
Reviewing agent-written code?See a Brief PR report
API pricing
Cost per 1M tokens
DeepSeek V3.2
Input
$0.28
Output
$0.42
OpenRouter Fusion · Quality (Jun 2026)
Input
—
Output
—
Where to run it
15 hosts, cheapest first
DeepSeek V3.215 hosts
GMI Cloudfp8$0.21 in$0.31 out164k100% upStreamLakefp8$0.21 in$0.32 out128k99.5% upDigitalOcean$0.25 in$0.80 out164k96.9% upSiliconFlowfp8$0.26 in$0.42 out164k99% upAtlasCloudfp8$0.26 in$0.38 out164k99.9% upDeepInfrafp4$0.26 in$0.38 out164k99.6% up
9 more hostsFewer hosts
Venice$0.27 in$0.39 out160k99.2% upNovitafp8$0.27 in$0.40 out164k100% upBaidu Qianfanfp8$0.28 in$0.42 out131k100% upAlibaba Cloudfp8$0.37 in$1.11 out131k99.5% upFriendli$0.50 in$1.50 out164k100% upGoogle Vertex AI$0.56 in$1.68 out164k99.7% upPhala$1.00 in$1.00 out164k99.6% upMara$3.00 in$4.50 out33k83% upSambaNova$3.00 in$4.50 out33k91.3% up
OpenRouter Fusion · Quality (Jun 2026)
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Sep 2026.
Writing DNA
Style Comparison
Similarity
32%
OpenRouter Fusion · Quality (Jun 2026) uses 68.0x more emoji
DeepSeek V3.2
OpenRouter Fusion · Quality (Jun 2026)
54%Vocabulary55%
29wSentence Length21w
0.58Hedging0.47
5.9Bold4.0
4.8Lists2.0
0.00Emoji0.68
0.74Headings0.73
0.12Transitions0.09
Based on 28 + 27 text responses
Research
What we learned reading every model
FAQ
Common questions
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