Mistral Medium 3 vs Mistral Medium 3.1
Updated October 21, 2026. 56 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Mistral Medium 3 has the edge where what matters is LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
- Shared results
- 56
- Mistral Medium 3 only
- 1
- Mistral Medium 3.1 only
- 18
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Mistral Medium 3.1
Mistral Medium 3.1 leads, 9.2 against 9.0.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Mistral Medium 3.1 has a AA Agentic Index result, 1.9.
Directional only
Math
AIME
No call
Only Mistral Medium 3.1 has a AIME result, 42.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Mistral Medium 3.1 has a MMLU Pro result, 75.3%.
Directional only
Web design
Design Arena: websites
Mistral Medium 3.1
Mistral Medium 3.1 leads, 1133 against 1079.
Same board, both measured
Long documents
Listed context window
No call
Both take 131K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
No call
Mistral Medium 3 $0.0014, Mistral Medium 3.1 $0.0014 per turn.
List prices
At a glance
- Coding index
- Mistral Medium 3 not benchmarked, Mistral Medium 3.1 not benchmarked.
- Widest category
- Agentic work, 16.4 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Mistral Medium 3 24.3% against Mistral Medium 3.1 40.6%, 16.4 points apart on a 0 to 100 scale.
- Output price
- Both cost $2.00 per million output tokens.
- Context window
- Both take 131K tokens.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Mistral Medium 3 | Bars | Mistral Medium 3.1 | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 7 | ||
| Math | 0 | 4 | ||
| Knowledge | 1 | 4 | ||
| Web design | 1 | 5 | ||
| General | 0 | 28 | ||
| All shared boards | 2 | 54 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | Mistral Medium 3 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 20.5 | Only Mistral Medium 3.1 measured |
| LiveCodeBench (Vals AI) | Not measured | 44.8% | Only Mistral Medium 3.1 measured |
| LiveCodeBench (Artificial Analysis run) | 40.0% | 40.6% | Mistral Medium 3.1 |
| SciCode | Not measured | 32.4% | Only Mistral Medium 3.1 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 3.8% | 10.6% | Mistral Medium 3.1 |
| ALE-Bench | Not measured | 210.2 | Only Mistral Medium 3.1 measured |
| LMArena Text: coding | 1385 | 1433 | Mistral Medium 3.1 |
| LMArena Text: software and IT | 1385 | 1436 | Mistral Medium 3.1 |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Medium 3 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.0 | 9.2 | Mistral Medium 3.1 |
| Epoch Capabilities Index | 134.0 | Not measured | Only Mistral Medium 3 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Medium 3 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 1.9 | Only Mistral Medium 3.1 measured |
| τ²-Bench Telecom | 24.3% | 40.6% | Mistral Medium 3.1 |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Mistral Medium 3 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| MMMU Pro (Vals AI) | Not measured | 63.0% | Only Mistral Medium 3.1 measured |
| GPQA Diamond (Artificial Analysis run) | 57.8% | 58.8% | Mistral Medium 3.1 |
| Humanity's Last Exam (Artificial Analysis run) | 4.1% | 4.7% | Mistral Medium 3.1 |
| LMArena Text: hard prompts | 1364 | 1426 | Mistral Medium 3.1 |
| LMArena Text: expert | 1342 | 1408 | Mistral Medium 3.1 |
| LMArena Text: hard prompts in English | 1374 | 1435 | Mistral Medium 3.1 |
| LMArena Vision: diagrams | 1155 | 1175 | Mistral Medium 3.1 |
| LMArena Vision: homework | 1165 | 1165 | Mistral Medium 3.1 |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Mistral Medium 3 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| AIME | Not measured | 42.3% | Only Mistral Medium 3.1 measured |
| MATH 500 (Vals AI) | Not measured | 87.0% | Only Mistral Medium 3.1 measured |
| MGSM (Vals AI) | Not measured | 90.9% | Only Mistral Medium 3.1 measured |
| AA Math Index | 30.3 | 38.3 | Mistral Medium 3.1 |
| AIME 2025 (Artificial Analysis run) | 30.3% | 38.3% | Mistral Medium 3.1 |
| LMArena Text: math | 1353 | 1408 | Mistral Medium 3.1 |
| LMArena Text: mathematical work | 1354 | 1412 | Mistral Medium 3.1 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Mistral Medium 3 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 75.3% | Only Mistral Medium 3.1 measured |
| LegalBench (Vals AI) | Not measured | 62.0% | Only Mistral Medium 3.1 measured |
| CorpFin (Vals AI) | Not measured | 50.7% | Only Mistral Medium 3.1 measured |
| TaxEval (Vals AI) | Not measured | 70.3% | Only Mistral Medium 3.1 measured |
| MortgageTax (Vals AI) | Not measured | 36.5% | Only Mistral Medium 3.1 measured |
| MedQA (Vals AI) | Not measured | 78.2% | Only Mistral Medium 3.1 measured |
| MMLU Pro (Artificial Analysis run) | 76.0% | 68.3% | Mistral Medium 3 |
| LMArena Text: science | 1381 | 1444 | Mistral Medium 3.1 |
| LMArena Text: medicine and healthcare | 1381 | 1449 | Mistral Medium 3.1 |
| LMArena Text: legal and government | 1384 | 1439 | Mistral Medium 3.1 |
| LMArena Text: business and finance | 1352 | 1418 | Mistral Medium 3.1 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Mistral Medium 3 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| Design Arena: websites | 1079 | 1133 | Mistral Medium 3.1 |
| Design Arena: UI components | 1024 | 1099 | Mistral Medium 3.1 |
| Design Arena: game dev | 1018 | 1074 | Mistral Medium 3.1 |
| Design Arena: data viz | 1034 | 1144 | Mistral Medium 3.1 |
| Design Arena: 3D | 1083 | 1081 | Mistral Medium 3 |
| Design Arena: all code categories | 1069 | 1120 | Mistral Medium 3.1 |
| Design Arena: SVG | Not measured | 993 | Only Mistral Medium 3.1 measured |
| Design Arena: ASCII art | Not measured | 997 | Only Mistral Medium 3.1 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index028
| Benchmark | Mistral Medium 3 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| IFBench | 39.3% | 39.8% | Mistral Medium 3.1 |
| Long context reasoning (AA-LCR) | 31.3% | 42.7% | Mistral Medium 3.1 |
| DTBench | 62.3% | 67.5% | Mistral Medium 3.1 |
| LMCA | Not measured | 19.1% | Only Mistral Medium 3.1 measured |
| LMArena Text | 1370 | 1424 | Mistral Medium 3.1 |
| LMArena Text: instruction following | 1338 | 1398 | Mistral Medium 3.1 |
| LMArena Text: creative writing | 1343 | 1391 | Mistral Medium 3.1 |
| LMArena Vision | 1157 | 1172 | Mistral Medium 3.1 |
| LMArena Text: English | 1385 | 1438 | Mistral Medium 3.1 |
| LMArena Text: non-English | 1353 | 1408 | Mistral Medium 3.1 |
| LMArena Text: Chinese | 1374 | 1447 | Mistral Medium 3.1 |
| LMArena Text: German | 1377 | 1432 | Mistral Medium 3.1 |
| LMArena Text: Japanese | 1316 | 1379 | Mistral Medium 3.1 |
| LMArena Text: Korean | 1304 | 1380 | Mistral Medium 3.1 |
| LMArena Text: French | 1368 | 1460 | Mistral Medium 3.1 |
| LMArena Text: Spanish | 1364 | 1433 | Mistral Medium 3.1 |
| LMArena Text: Russian | 1359 | 1411 | Mistral Medium 3.1 |
| LMArena Text: Polish | 1371 | 1430 | Mistral Medium 3.1 |
| LMArena Text: multi-turn | 1384 | 1418 | Mistral Medium 3.1 |
| LMArena Text: longer queries | 1360 | 1406 | Mistral Medium 3.1 |
| LMArena Text: writing and language | 1352 | 1395 | Mistral Medium 3.1 |
| LMArena Text: entertainment and media | 1335 | 1390 | Mistral Medium 3.1 |
| LMArena Vision: English | 1172 | 1179 | Mistral Medium 3.1 |
| LMArena Vision: Chinese | 1161 | 1190 | Mistral Medium 3.1 |
| LMArena Vision: reading text | 1154 | 1175 | Mistral Medium 3.1 |
| LMArena Vision: humor | 1145 | 1168 | Mistral Medium 3.1 |
| LMArena Vision: captioning | 1094 | 1145 | Mistral Medium 3.1 |
| LMArena Vision: recognizing things | 1141 | 1147 | Mistral Medium 3.1 |
| LMArena Vision: creative writing | 1146 | 1200 | Mistral Medium 3.1 |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Medium 3 | Mistral Medium 3.1 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Same cost
Repository review
50K input + 3K output tokens
Same cost
Agent loop
200K input + 10K output tokens
Same cost
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Mistral Medium 3 | Mistral Medium 3.1 |
|---|---|---|
| Maker | Mistral AI | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | May 7, 2025 | August 13, 2025 |
| Context window | 131K | 131K |
| Input $/Mtok | $0.40 | $0.40 |
| Output $/Mtok | $2.00 | $2.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Medium 3 better than Mistral Medium 3.1 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Mistral Medium 3 has the edge where what matters is LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
Which is cheaper, Mistral Medium 3 or Mistral Medium 3.1?
Mistral Medium 3 costs $0.40 per million input tokens and $2.00 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Medium 3 or Mistral Medium 3.1?
Neither: both take 131K tokens.
How many benchmarks is the Mistral Medium 3 vs Mistral Medium 3.1 comparison based on?
56 benchmarks have a result for both models as of October 21, 2026. Mistral Medium 3's coding index rests on 0 independent benchmarks and Mistral Medium 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.