Model comparison · Updated May 2026
DeepSeek R1 vs Mistral Large: Price, Context, Benchmarks (2026)
A direct, dated comparison of DeepSeek R1 (DeepSeek) and Mistral Large (Mistral). Every number below is sourced from official provider docs and public benchmarks. If you need to make this decision today, the verdict is at the top.
30-second verdict
- Cheaper: DeepSeek R1 (input $0.55 vs $2.00 per 1M tokens).
- Stronger on SWE-bench Verified: DeepSeek R1 (~52% vs ~45%).
- Higher LMArena: DeepSeek R1 (1418 vs 1380).
Specs side-by-side
| Spec | DeepSeek R1 | Mistral Large |
|---|---|---|
| Vendor | DeepSeek | Mistral |
| Input price (per 1M tokens) | $0.55 | $2.00 |
| Output price | $2.19 | $6.00 |
| Context window | 128K | 128K |
| Release date | 2025-01-20 | 2025-02-01 |
| SWE-bench Verified | ~52% | ~45% |
| HumanEval | ~93% | ~88% |
| LMArena (approx) | 1418 | 1380 |
| Open weights | Yes | Yes |
| Capabilities | reasoning, code, cheap | code |
Pricing from official DeepSeek and Mistral docs. Benchmark numbers from SWE-bench Verified, HumanEval, and LMArena public leaderboards as of May 2026.
DeepSeek R1 — strengths and weaknesses
Strengths. Best price-to-quality, open weights, strong math + code, self-hostable.
Weaknesses. Weaker tool calling, smaller context, China-hosted official API.
Best for. Cost-sensitive production, batch jobs, self-hosted privacy use.
Mistral Large — strengths and weaknesses
Strengths. EU-hosted, Apache-licensed open variants, solid tool use, predictable.
Weaknesses. Behind frontier on reasoning benchmarks.
Best for. EU compliance, on-prem deployments, mid-range workloads.
Which one should you pick?
Pick DeepSeek R1 if: cost-sensitive production, batch jobs, self-hosted privacy use.
Pick Mistral Large if: eu compliance, on-prem deployments, mid-range workloads.
Use both if: you're building an agent or content pipeline. Route the high-stakes / hard-reasoning calls to whichever scores higher on the axis you care about, and the bulk / cheap calls to the other. Most production AI products run a 2-3 model router rather than betting on one.
Try them side-by-side
The Check.AI comparison tool lets you put both models in one table with all the numbers, switch capability filters, and share the resulting URL with your team.