Model comparison
DeepSeek-V3.1-Terminus vs Mistral Large 3
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 39.1 on the Noometry Index.
Last verified . 11 shared benchmarks.
DeepSeek
Mistral AISummary
- They share 11 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 5 categories and Mistral Large 3 in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.1-Terminus leads 26.4 to 15.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.4% for DeepSeek-V3.1-Terminus and 50.9% for Mistral Large 3.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.27 / $1 for DeepSeek-V3.1-Terminus.
- Mistral Large 3 accepts more context: 262K tokens versus 164K.
Side by side
| DeepSeek-V3.1-Terminus | Mistral Large 3 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 43.1 | 39.1 |
| Released | 2025-09-22 | 2025-12-02 |
| Weights | Open | Open |
| Context window | 164K | 262K |
| Max output | 147K | 8K |
| Input $ / M tokens | $0.27 | $0.25 |
| Output $ / M tokens | $1 | $0.75 |
| Results tracked | 16 | 24 |
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Category by category
Coding DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 42.0 (#113), Mistral Large 3: 34.4 (#237)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 3 |
|---|---|---|
| LMArena Coding | 1426 | 1448 |
| LMArena WebDev | — | 1230 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |
Reasoning DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 26.4 (#133), Mistral Large 3: 15.2 (#319)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 3 |
|---|---|---|
| Kagi LLM Benchmark | 57.4% | 50.9% |
| LMArena Hard Prompts | 1426 | 1429 |
| NYT Connections (extended) | — | 7.5% |
| CritPt | 1.7% | — |
| Thematic Generalization | — | 23% |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
Math Too close to call
DeepSeek-V3.1-Terminus: 38.5 (#137), Mistral Large 3: 38.7 (#129)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1402 | 1414 |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, Mistral Large 3: 36.0 (#177)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 3 |
|---|---|---|
| Vectara Hallucination Rate | — | 14.5% |
| LMArena Expert | — | 1421 |
Multimodal Not comparable
DeepSeek-V3.1-Terminus: —, Mistral Large 3: 38.2 (#66)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1221 |
Multilingual Too close to call
DeepSeek-V3.1-Terminus: 52.1 (#92), Mistral Large 3: 52.5 (#84)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1407 | 1413 |
| LMArena Russian | 1436 | 1411 |
| LMArena Chinese | — | 1447 |
| LMArena French | — | 1455 |
| LMArena German | — | 1437 |
| LMArena Japanese | — | 1394 |
| LMArena Korean | — | 1384 |
| LMArena Spanish | — | 1440 |
Instruction Following Too close to call
DeepSeek-V3.1-Terminus: 74.0 (#106), Mistral Large 3: 74.0 (#108)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1403 |
Long Context Too close to call
DeepSeek-V3.1-Terminus: 43.4 (#97), Mistral Large 3: 43.1 (#105)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1421 | 1413 |
Writing & Preference Too close to call
DeepSeek-V3.1-Terminus: 61.0 (#92), Mistral Large 3: 60.0 (#101)
| Benchmark | DeepSeek-V3.1-Terminus | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1419 | 1428 |
| LMArena Creative Writing | 1403 | 1386 |
| LMArena Multi-Turn | 1411 | 1429 |
| EQ-Bench Creative Writing | — | 1412 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than Mistral Large 3?
DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 39.1 on the Noometry Index.
Which is cheaper, DeepSeek-V3.1-Terminus or Mistral Large 3?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; DeepSeek-V3.1-Terminus lists at $0.27 and $1.
Is DeepSeek-V3.1-Terminus or Mistral Large 3 better for coding?
DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 3 does, with 262K tokens against 164K.
How many benchmarks do DeepSeek-V3.1-Terminus and Mistral Large 3 share?
11 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Mistral Large 3 has 24.