Model comparison
Mistral Medium vs Mistral Medium 3.5
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 36.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Mistral Medium scores higher in 3 categories and Mistral Medium 3.5 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Medium 3.5 leads 40.0 to 25.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 50% for Mistral Medium and 41.4% for Mistral Medium 3.5.
- Both cost about the same: $1.50 input and $7.50 output per million tokens.
Side by side
| Mistral Medium | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 36.3 | 40.2 |
| Released | 2023-12-11 | — |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 262K | 210K |
| Input $ / M tokens | $1.50 | $1.50 |
| Output $ / M tokens | $7.50 | $7.50 |
| Results tracked | 36 | 22 |
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Category by category
Coding Mistral Medium 3.5 leads
Mistral Medium: 34.2 (#243), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Mistral Medium | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1434 | 1461 |
| FrontierCode | 8% | — |
| LMArena WebDev | — | 1264 |
| SciCode | 40.2% | — |
| WeirdML | 43.7% | — |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Not comparable
Mistral Medium: 28.3 (#90), Mistral Medium 3.5: —
| Benchmark | Mistral Medium | Mistral Medium 3.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
Reasoning Mistral Medium leads
Mistral Medium: 24.0 (#167), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Mistral Medium | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 50% | 41.4% |
| LMArena Hard Prompts | 1426 | 1436 |
| NYT Connections (extended) | — | 12.9% |
| CritPt | 0% | — |
| DTBench | 75.5% | — |
| LMCA | 26.1% | — |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 141.35 |
Math Mistral Medium 3.5 leads
Mistral Medium: 28.1 (#245), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Mistral Medium | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1408 | 1431 |
| OTIS Mock AIME 2024-2025 | 32.2% | — |
| ProofBench | 9% | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Mistral Medium 3.5 leads
Mistral Medium: 25.0 (#265), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Mistral Medium | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1408 | 1432 |
| GPQA Diamond | 59.5% | — |
| Humanity's Last Exam | 4.5% | — |
| Vectara Hallucination Rate | 22.7% | — |
Multimodal Mistral Medium 3.5 leads
Mistral Medium: 35.3 (#88), Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Mistral Medium | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1172 | 1223 |
Multilingual Too close to call
Mistral Medium: 52.1 (#91), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Mistral Medium | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1408 | 1404 |
| LMArena Chinese | 1447 | 1442 |
| LMArena French | 1459 | 1448 |
| LMArena German | 1432 | 1451 |
| LMArena Korean | 1380 | 1385 |
| LMArena Russian | 1411 | 1395 |
| LMArena Spanish | 1433 | 1409 |
| LMArena Japanese | 1378 | — |
Instruction Following Too close to call
Mistral Medium: 73.7 (#116), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Mistral Medium | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1398 | 1415 |
Long Context Too close to call
Mistral Medium: 42.9 (#114), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Mistral Medium | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1406 | 1415 |
Writing & Preference Mistral Medium leads
Mistral Medium: 60.0 (#103), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Mistral Medium | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1424 | 1421 |
| LMArena Creative Writing | 1391 | 1374 |
| LMArena Multi-Turn | 1418 | 1423 |
| Short-Story Creative Writing | 77.3% | — |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Mistral Medium better than Mistral Medium 3.5?
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 36.3 on the Noometry Index.
Which is cheaper, Mistral Medium or Mistral Medium 3.5?
Mistral Medium 3.5 is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Mistral Medium or Mistral Medium 3.5 better for coding?
Mistral Medium 3.5 scores higher on coding benchmarks: 36.0 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Mistral Medium and Mistral Medium 3.5 share?
18 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Mistral Medium 3.5 has 22.