Model comparison
DeepSeek-R1 vs Mistral Large 2
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek-R1 #103 (Supported); Mistral Large 2 #163 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek-R1 and Mistral Large 2 share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek-R1; 0 to Mistral Large 2.
Updated July 20, 2026- Shared results
- 11
- DeepSeek-R1 only
- 0
- Mistral Large 2 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek-R1 and Mistral Large 2 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek-R1 | Mistral Large 2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek-R1$0.55 input / $2.19 output | Mistral Large 2Not available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek-R1Not available | Mistral Large 238 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek-R1Not available | Mistral Large 21.45 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek-R1128K | Mistral Large 2128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | DeepSeek-R1 | Mistral Large 2 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 36.5% | 30.7% | DeepSeek-R1 leads |
Coding1 benchmarks
| Benchmark | DeepSeek-R1 | Mistral Large 2 | Result |
|---|---|---|---|
| AA-SciCodeSource | 40.3% | 29.2% | DeepSeek-R1 leads |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | DeepSeek-R1 | Mistral Large 2 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 20.1% | 9.2% | DeepSeek-R1 leads |
| AA-GPQA DiamondSource | 81.3% | 48.6% | DeepSeek-R1 leads |
| AA-HLESource | 14.9% | 4.0% | DeepSeek-R1 leads |
| AA-Omniscience IndexSource | -27.1% | -34.0% | DeepSeek-R1 leads |
| AA-Omniscience AccuracySource | 31.0% | 20.1% | DeepSeek-R1 leads |
| AA-Omniscience Hallucination RateSource | 84.0% | 67.8% | Mistral Large 2 leads |
Inst. Following1 benchmarks
| Benchmark | DeepSeek-R1 | Mistral Large 2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.6% | 31.2% | DeepSeek-R1 leads |
Frequently Asked Questions (3)
Can I compare DeepSeek-R1 and Mistral Large 2 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for DeepSeek-R1 and Mistral Large 2 today?
DeepSeek-R1: $0.55 input / $2.19 output per 1M tokens Mistral Large 2: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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