Compare AI models
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $0.15 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | — | $0.60 |
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.259SiliconFlow | $0.15Mistral |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.38DeepInfra | $0.60Mistral |
| Benchmarks | ||
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. | 13% | 6% |
| Overview | ||
| Company | DeepSeek | Mistral |
| Release date | Dec 1 2025 | Mar 16 2026 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
DeepSeek-V3.2vsClaude Haiku 5.5Mistral Small 4vsClaude Haiku 5.5DeepSeek-V3.2vsGPT-6.1 SolMistral Small 4vsGPT-6.1 SolDeepSeek-V3.2vsGemini 4 ArgonMistral Small 4vsGemini 4 ArgonDeepSeek-V3.2vsMuse Spark 1.3Mistral Small 4vsMuse Spark 1.3DeepSeek-V3.2vsGrok 4.7Mistral Small 4vsGrok 4.7DeepSeek-V3.2vsKimi K3Mistral Small 4vsKimi K3Frequently asked questions
DeepSeek-V3.2 leads Mistral Small 4 on 1 of the 1 benchmark they both report (BullshitBench v2). Only Mistral Small 4 has a verified first-party API price: $0.15 per million input tokens and $0.60 per million output tokens. No pay-as-you-go API rate is tracked for DeepSeek-V3.2. DeepSeek-V3.2 shipped 105 days before Mistral Small 4, so benchmark comparisons should account for the intervening progress.
DeepSeek-V3.2 is open weight, while Mistral Small 4 is closed.
On BullshitBench v2, DeepSeek-V3.2 leads at 13% vs Mistral Small 4 at 6%.