Command A vs Mistral Medium 3
Updated October 21, 2026. 40 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.
Command A has the edge where the context window is larger, 256K against 131K tokens, and where what matters is LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.
- Shared results
- 40
- Command A only
- 20
- Mistral Medium 3 only
- 17
- Like-for-like categories
- 7 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
Command A
Command A leads, 13.1 against 9.0.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Command A has a AA Agentic Index result, 1.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Command A has a GPQA Diamond result, 48.5%.
Directional only
Math
AIME
No call
Only Command A has a AIME result, 13.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Command A has a MMLU Pro result, 69.2%.
Directional only
Web design
Design Arena: websites
No call
Only Mistral Medium 3 has a Design Arena: websites result, 1079.
Directional only
Long documents
Listed context window
Command A
Command A takes 256K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Medium 3
Command A $0.0075, Mistral Medium 3 $0.0014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Command A has the number, $2.69.
Directional only
At a glance
- Coding index
- Command A not benchmarked, Mistral Medium 3 not benchmarked.
- Widest category
- Agentic work, 56.4 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Command A 80.7% against Mistral Medium 3 24.3%, 56.4 points apart on a 0 to 100 scale.
- Output price
- Command A $10.00 against Mistral Medium 3 $2.00 per million output tokens, 5.0x apart.
- Context window
- Command A takes 256K tokens, Mistral Medium 3 131K.
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 | Command A | Bars | Mistral Medium 3 | Ties |
|---|---|---|---|---|
| Coding | 1 | 3 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 2 | 3 | ||
| Math | 0 | 4 | ||
| Knowledge | 0 | 5 | ||
| General | 2 | 18 | ||
| All shared boards | 7 | 33 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
| Benchmark | Command A | Mistral Medium 3 | Leader |
|---|---|---|---|
| AA Coding Index | 27.8 | Not measured | Only Command A measured |
| LiveCodeBench (Vals AI) | 35.1% | Not measured | Only Command A measured |
| SWE-bench Verified (Vals AI) | 7.8% | Not measured | Only Command A measured |
| Terminal-Bench 2.1 (Vals AI) | 17.6% | Not measured | Only Command A measured |
| LiveCodeBench (Artificial Analysis run) | 28.7% | 40.0% | Mistral Medium 3 |
| SciCode | 38.5% | Not measured | Only Command A measured |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | 3.8% | Command A |
| LMArena Text: coding | 1330 | 1385 | Mistral Medium 3 |
| LMArena Text: software and IT | 1336 | 1385 | Mistral Medium 3 |
| Neither model has a result on the other 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Command A | Mistral Medium 3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 9.0 | Command A |
| Epoch Capabilities Index | Not measured | 134.0 | Only Mistral Medium 3 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Command A | Mistral Medium 3 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Command A measured |
| Finance Agent (Vals AI) | 9.0% | Not measured | Only Command A measured |
| τ²-Bench Telecom | 80.7% | 24.3% | Command A |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | Command A | Mistral Medium 3 | Leader |
|---|---|---|---|
| GPQA Diamond | 48.5% | Not measured | Only Command A measured |
| GPQA Diamond (Artificial Analysis run) | 76.1% | 57.8% | Command A |
| Humanity's Last Exam (Artificial Analysis run) | 12.0% | 4.1% | Command A |
| LMArena Text: hard prompts | 1326 | 1364 | Mistral Medium 3 |
| LMArena Text: expert | 1296 | 1342 | Mistral Medium 3 |
| LMArena Text: hard prompts in English | 1335 | 1374 | Mistral Medium 3 |
| LMArena Vision: diagrams | Not measured | 1155 | Only Mistral Medium 3 measured |
| LMArena Vision: homework | Not measured | 1165 | Only Mistral Medium 3 measured |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Command A | Mistral Medium 3 | Leader |
|---|---|---|---|
| AIME | 13.3% | Not measured | Only Command A measured |
| MATH 500 (Vals AI) | 76.2% | Not measured | Only Command A measured |
| MGSM (Vals AI) | 85.7% | Not measured | Only Command A measured |
| AA Math Index | 13.0 | 30.3 | Mistral Medium 3 |
| AIME 2025 (Artificial Analysis run) | 13.0% | 30.3% | Mistral Medium 3 |
| LMArena Text: math | 1300 | 1353 | Mistral Medium 3 |
| LMArena Text: mathematical work | 1312 | 1354 | Mistral Medium 3 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Command A | Mistral Medium 3 | Leader |
|---|---|---|---|
| MMLU Pro | 69.2% | Not measured | Only Command A measured |
| LegalBench (Vals AI) | 79.7% | Not measured | Only Command A measured |
| CaseLaw (Vals AI) | 64.5% | Not measured | Only Command A measured |
| CorpFin (Vals AI) | 46.0% | Not measured | Only Command A measured |
| TaxEval (Vals AI) | 61.4% | Not measured | Only Command A measured |
| MedQA (Vals AI) | 80.5% | Not measured | Only Command A measured |
| MedCode (Vals AI) | 19.7% | Not measured | Only Command A measured |
| MMLU Pro (Artificial Analysis run) | 71.2% | 76.0% | Mistral Medium 3 |
| LMArena Text: science | 1339 | 1381 | Mistral Medium 3 |
| LMArena Text: medicine and healthcare | 1334 | 1381 | Mistral Medium 3 |
| LMArena Text: legal and government | 1348 | 1384 | Mistral Medium 3 |
| LMArena Text: business and finance | 1315 | 1352 | Mistral Medium 3 |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Command A | Mistral Medium 3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1079 | Only Mistral Medium 3 measured |
| Design Arena: UI components | Not measured | 1024 | Only Mistral Medium 3 measured |
| Design Arena: game dev | Not measured | 1018 | Only Mistral Medium 3 measured |
| Design Arena: data viz | Not measured | 1034 | Only Mistral Medium 3 measured |
| Design Arena: 3D | Not measured | 1083 | Only Mistral Medium 3 measured |
| Design Arena: all code categories | Not measured | 1069 | Only Mistral Medium 3 measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index218
| Benchmark | Command A | Mistral Medium 3 | Leader |
|---|---|---|---|
| MedScribe (Vals AI) | 55.7% | Not measured | Only Command A measured |
| IFBench | 73.9% | 39.3% | Command A |
| Long context reasoning (AA-LCR) | 52.7% | 31.3% | Command A |
| DTBench | 61.3% | 62.3% | Mistral Medium 3 |
| LMCA | 10.3% | Not measured | Only Command A measured |
| LMArena Text | 1331 | 1370 | Mistral Medium 3 |
| LMArena Text: instruction following | 1309 | 1338 | Mistral Medium 3 |
| LMArena Text: creative writing | 1319 | 1343 | Mistral Medium 3 |
| LMArena Vision | Not measured | 1157 | Only Mistral Medium 3 measured |
| LMArena Text: English | 1344 | 1385 | Mistral Medium 3 |
| LMArena Text: non-English | 1313 | 1353 | Mistral Medium 3 |
| LMArena Text: Chinese | 1327 | 1374 | Mistral Medium 3 |
| LMArena Text: German | 1342 | 1377 | Mistral Medium 3 |
| LMArena Text: Japanese | 1285 | 1316 | Mistral Medium 3 |
| LMArena Text: Korean | 1285 | 1304 | Mistral Medium 3 |
| LMArena Text: French | 1351 | 1368 | Mistral Medium 3 |
| LMArena Text: Spanish | 1347 | 1364 | Mistral Medium 3 |
| LMArena Text: Russian | 1314 | 1359 | Mistral Medium 3 |
| LMArena Text: Polish | 1324 | 1371 | Mistral Medium 3 |
| LMArena Text: multi-turn | 1338 | 1384 | Mistral Medium 3 |
| LMArena Text: longer queries | 1334 | 1360 | Mistral Medium 3 |
| LMArena Text: writing and language | 1328 | 1352 | Mistral Medium 3 |
| LMArena Text: entertainment and media | 1306 | 1335 | Mistral Medium 3 |
| LMArena Vision: English | Not measured | 1172 | Only Mistral Medium 3 measured |
| LMArena Vision: Chinese | Not measured | 1161 | Only Mistral Medium 3 measured |
| LMArena Vision: reading text | Not measured | 1154 | Only Mistral Medium 3 measured |
| LMArena Vision: humor | Not measured | 1145 | Only Mistral Medium 3 measured |
| LMArena Vision: captioning | Not measured | 1094 | Only Mistral Medium 3 measured |
| LMArena Vision: recognizing things | Not measured | 1141 | Only Mistral Medium 3 measured |
| LMArena Vision: creative writing | Not measured | 1146 | Only Mistral Medium 3 measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A | Mistral Medium 3 | 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
Mistral Medium 3 costs less
Repository review
50K input + 3K output tokens
Mistral Medium 3 costs less
Agent loop
200K input + 10K output tokens
Mistral Medium 3 costs less
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 | Cohere Command A | Mistral Medium 3 |
|---|---|---|
| Maker | Cohere | Mistral AI |
| Weights | Open weights | No public weights listed |
| Released | March 13, 2025 | May 7, 2025 |
| Context window | 256K | 131K |
| Input $/Mtok | $2.50 | $0.40 |
| Output $/Mtok | $10.00 | $2.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | $2.69 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Command A better than Mistral Medium 3 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Command A has the edge where the context window is larger, 256K against 131K tokens, and where what matters is LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.
Which is cheaper, Command A or Mistral Medium 3?
Command A costs $2.50 per million input tokens and $10.00 per million output tokens; Mistral Medium 3 costs $0.40 and $2.00. Cost per solved task is known for Command A only.
Which has the bigger context window, Command A or Mistral Medium 3?
Command A, with 256K tokens against 131K.
How many benchmarks is the Command A vs Mistral Medium 3 comparison based on?
40 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark and Mistral Medium 3's on 0. Where only one model has a result, the page says so instead of naming a winner.