Model comparison
DeepSeek-V3.2-Speciale vs Mistral Large 3
DeepSeek-V3.2-Speciale and Mistral Large 3 score almost the same on the Noometry Index (39.7 vs 39.1), so choose on price, context window or the category you care about most.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 2 categories and Mistral Large 3 in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 15.2.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- Mistral Large 3 accepts more context: 262K tokens versus 128K.
Side by side
| DeepSeek-V3.2-Speciale | Mistral Large 3 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 39.7 | 39.1 |
| Released | 2025-12-01 | 2025-12-02 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 128K | 8K |
| Input $ / M tokens | $0.58 | $0.25 |
| Output $ / M tokens | $1.68 | $0.75 |
| Results tracked | 3 | 24 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 40.4 (#140), Mistral Large 3: 34.4 (#237)
| Benchmark | DeepSeek-V3.2-Speciale | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | — | 1230 |
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1448 |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Mistral Large 3: 15.2 (#319)
| Benchmark | DeepSeek-V3.2-Speciale | Mistral Large 3 |
|---|---|---|
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| Thematic Generalization | — | 23% |
| LMArena Hard Prompts | — | 1429 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Mistral Large 3: 38.7 (#129)
| Benchmark | DeepSeek-V3.2-Speciale | Mistral Large 3 |
|---|---|---|
| LMArena Math | — | 1414 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Mistral Large 3: 36.0 (#177)
| Benchmark | DeepSeek-V3.2-Speciale | Mistral Large 3 |
|---|---|---|
| Vectara Hallucination Rate | — | 14.5% |
| LMArena Expert | — | 1421 |
Multimodal Not comparable
DeepSeek-V3.2-Speciale: —, Mistral Large 3: 38.2 (#66)
| Benchmark | DeepSeek-V3.2-Speciale | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1221 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Mistral Large 3: 52.5 (#84)
| Benchmark | DeepSeek-V3.2-Speciale | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | — | 1413 |
| LMArena Chinese | — | 1447 |
| LMArena French | — | 1455 |
| LMArena German | — | 1437 |
| LMArena Japanese | — | 1394 |
| LMArena Korean | — | 1384 |
| LMArena Russian | — | 1411 |
| LMArena Spanish | — | 1440 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Mistral Large 3: 74.0 (#108)
| Benchmark | DeepSeek-V3.2-Speciale | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | — | 1403 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Mistral Large 3: 43.1 (#105)
| Benchmark | DeepSeek-V3.2-Speciale | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | — | 1413 |
Writing & Preference Mistral Large 3 leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Mistral Large 3: 60.0 (#101)
| Benchmark | DeepSeek-V3.2-Speciale | Mistral Large 3 |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | 1412 |
| LMArena Text | — | 1428 |
| LMArena Creative Writing | — | 1386 |
| LMArena Multi-Turn | — | 1429 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Mistral Large 3?
DeepSeek-V3.2-Speciale and Mistral Large 3 score almost the same on the Noometry Index (39.7 vs 39.1), so choose on price, context window or the category you care about most.
Which is cheaper, DeepSeek-V3.2-Speciale 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-V3.2-Speciale lists at $0.58 and $1.68.
Is DeepSeek-V3.2-Speciale or Mistral Large 3 better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 3 does, with 262K tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and Mistral Large 3 share?
1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Mistral Large 3 has 24.