Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 671B | 5.1B/8B/26B/31B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 128k | 256k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.27SiliconFlow | $0.042Darkbloom |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.41SiliconFlow | $0.18Makora |
| $74.50SiliconFlow · fp8 | $19.40Darkbloom | |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | — | 25% |
| Overview | ||
| Company | DeepSeek | |
| Release date | Sep 29 2025 | Apr 2 2026 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek V3.2 ExpvsClaude Haiku 5.5Gemma 4vsClaude Haiku 5.5DeepSeek V3.2 ExpvsGPT-6.1 SolGemma 4vsGPT-6.1 SolDeepSeek V3.2 ExpvsMuse Spark OpenGemma 4vsMuse Spark OpenDeepSeek V3.2 ExpvsGrok 4.7Gemma 4vsGrok 4.7DeepSeek V3.2 ExpvsMistral Large 4Gemma 4vsMistral Large 4DeepSeek V3.2 ExpvsKimi K3Gemma 4vsKimi K3Frequently asked questions
DeepSeek V3.2 Exp and Gemma 4 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek V3.2 Exp shipped 185 days before Gemma 4, so benchmark comparisons should account for the intervening progress.
DeepSeek V3.2 Exp has 671B parameters, while Gemma 4 has 5.1B/8B/26B/31B. Context windows are 128k (DeepSeek V3.2 Exp) vs 256k (Gemma 4).
Direct benchmark comparisons are unavailable — DeepSeek V3.2 Exp and Gemma 4 don't publish scores on any of the same benchmarks.