Model comparison
DeepSeek-V3.1-Terminus vs Mistral Large 4
DeepSeek-V3.1-Terminus and Mistral Large 4 score almost the same on the Noometry Index (43.1 vs 43.1), so choose on price, context window or the category you care about most.
Last verified . 10 shared benchmarks.
DeepSeek
Mistral AISummary
- They share 10 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 2 categories and Mistral Large 4 in 5 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Large 4 leads 48.6 to 42.0.
- DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 164K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1-Terminus | Mistral Large 4 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 43.1 | 43.1 |
| Released | 2025-09-22 | 2026-10-06 |
| Weights | Open | Proprietary |
| Context window | 164K | 1.05M |
| Max output | 147K | 262K |
| Input $ / M tokens | $0.27 | $0.68 |
| Output $ / M tokens | $1 | $2.09 |
| Results tracked | 16 | 15 |
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Category by category
Coding Mistral Large 4 leads
DeepSeek-V3.1-Terminus: 42.0 (#113), Mistral Large 4: 48.6 (#57)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1426 | 1475 |
| LMArena WebDev | — | 1541 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |
Reasoning DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 26.4 (#133), Mistral Large 4: 22.5 (#192)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1444 |
| Kagi LLM Benchmark | 57.4% | — |
| NYT Connections (extended) | — | 27.4% |
| CritPt | 1.7% | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
Math Mistral Large 4 leads
DeepSeek-V3.1-Terminus: 38.5 (#137), Mistral Large 4: 40.4 (#91)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1402 | 1488 |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, Mistral Large 4: 36.6 (#166)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 4 |
|---|---|---|
| SimpleQA Verified | — | 20% |
| LMArena Expert | — | 1447 |
Multilingual Too close to call
DeepSeek-V3.1-Terminus: 52.1 (#92), Mistral Large 4: 52.6 (#82)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1407 | 1415 |
| LMArena Russian | 1436 | 1414 |
| LMArena Chinese | — | 1491 |
Instruction Following Too close to call
DeepSeek-V3.1-Terminus: 74.0 (#106), Mistral Large 4: 75.0 (#76)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1424 |
Long Context Too close to call
DeepSeek-V3.1-Terminus: 43.4 (#97), Mistral Large 4: 43.6 (#89)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1421 | 1429 |
Writing & Preference Too close to call
DeepSeek-V3.1-Terminus: 61.0 (#92), Mistral Large 4: 60.4 (#97)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1419 | 1427 |
| LMArena Creative Writing | 1403 | 1361 |
| LMArena Multi-Turn | 1411 | 1424 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Mistral Large 4?
DeepSeek-V3.1-Terminus and Mistral Large 4 score almost the same on the Noometry Index (43.1 vs 43.1), so choose on price, context window or the category you care about most.
Which is cheaper, DeepSeek-V3.1-Terminus or Mistral Large 4?
DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.
Is DeepSeek-V3.1-Terminus or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 42.0 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 164K.
How many benchmarks do DeepSeek-V3.1-Terminus and Mistral Large 4 share?
10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Mistral Large 4 has 15.