Command A vs MiniMax M1
Updated October 21, 2026. 29 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 what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 29
- Command A only
- 31
- MiniMax M1 only
- 0
- Like-for-like categories
- 6 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 11.7.
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
Long documents
Listed context window
MiniMax M1
MiniMax M1 takes 1M tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M1
Command A $0.0075, MiniMax M1 $0.0015 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, MiniMax M1 not benchmarked.
- Widest category
- Math, 9.3 points apart on average over 2 shared benchmarks.
- Widest single gap
- LMArena Text: Japanese: Command A 1285 against MiniMax M1 1217, 11.4 points apart on a 0 to 100 scale.
- Output price
- Command A $10.00 against MiniMax M1 $2.20 per million output tokens, 4.5x apart.
- Context window
- Command A takes 256K tokens, MiniMax M1 1M.
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 | MiniMax M1 | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 3 | ||
| General | 7 | 10 | ||
| All shared boards | 9 | 20 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
| Benchmark | Command A | MiniMax M1 | 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% | Not measured | Only Command A measured |
| SciCode | 38.5% | Not measured | Only Command A measured |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | Not measured | Only Command A measured |
| LMArena Text: coding | 1330 | 1359 | MiniMax M1 |
| LMArena Text: software and IT | 1336 | 1359 | MiniMax M1 |
| 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 | MiniMax M1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 11.7 | Command A |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Command A | MiniMax M1 | 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% | Not measured | Only Command A measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Command A | MiniMax M1 | Leader |
|---|---|---|---|
| GPQA Diamond | 48.5% | Not measured | Only Command A measured |
| GPQA Diamond (Artificial Analysis run) | 76.1% | Not measured | Only Command A measured |
| Humanity's Last Exam (Artificial Analysis run) | 12.0% | Not measured | Only Command A measured |
| LMArena Text: hard prompts | 1326 | 1339 | MiniMax M1 |
| LMArena Text: expert | 1296 | 1317 | MiniMax M1 |
| LMArena Text: hard prompts in English | 1335 | 1353 | MiniMax M1 |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Command A | MiniMax M1 | 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 | Not measured | Only Command A measured |
| AIME 2025 (Artificial Analysis run) | 13.0% | Not measured | Only Command A measured |
| LMArena Text: math | 1300 | 1361 | MiniMax M1 |
| LMArena Text: mathematical work | 1312 | 1363 | MiniMax M1 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Command A | MiniMax M1 | 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% | Not measured | Only Command A measured |
| LMArena Text: science | 1339 | 1354 | MiniMax M1 |
| LMArena Text: medicine and healthcare | 1334 | 1355 | MiniMax M1 |
| LMArena Text: legal and government | 1348 | 1337 | Command A |
| LMArena Text: business and finance | 1315 | 1319 | MiniMax M1 |
| Neither model has a result on the other 5 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A | MiniMax M1 | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index710
| Benchmark | Command A | MiniMax M1 | Leader |
|---|---|---|---|
| MedScribe (Vals AI) | 55.7% | Not measured | Only Command A measured |
| IFBench | 73.9% | Not measured | Only Command A measured |
| Long context reasoning (AA-LCR) | 52.7% | Not measured | Only Command A measured |
| DTBench | 61.3% | Not measured | Only Command A measured |
| LMCA | 10.3% | Not measured | Only Command A measured |
| LMArena Text | 1331 | 1343 | MiniMax M1 |
| LMArena Text: instruction following | 1309 | 1312 | MiniMax M1 |
| LMArena Text: creative writing | 1319 | 1297 | Command A |
| LMArena Text: English | 1344 | 1363 | MiniMax M1 |
| LMArena Text: non-English | 1313 | 1319 | MiniMax M1 |
| LMArena Text: Chinese | 1327 | 1360 | MiniMax M1 |
| LMArena Text: German | 1342 | 1350 | MiniMax M1 |
| LMArena Text: Japanese | 1285 | 1217 | Command A |
| LMArena Text: Korean | 1285 | 1266 | Command A |
| LMArena Text: French | 1351 | 1370 | MiniMax M1 |
| LMArena Text: Spanish | 1347 | 1353 | MiniMax M1 |
| LMArena Text: Russian | 1314 | 1329 | MiniMax M1 |
| LMArena Text: Polish | 1324 | 1329 | MiniMax M1 |
| LMArena Text: multi-turn | 1338 | 1335 | Command A |
| LMArena Text: longer queries | 1334 | 1326 | Command A |
| LMArena Text: writing and language | 1328 | 1311 | Command A |
| LMArena Text: entertainment and media | 1306 | 1303 | Command A |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A | MiniMax M1 | 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
MiniMax M1 costs less
Repository review
50K input + 3K output tokens
MiniMax M1 costs less
Agent loop
200K input + 10K output tokens
MiniMax M1 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 | MiniMax M1 |
|---|---|---|
| Maker | Cohere | MiniMax |
| Weights | Open weights | No public weights listed |
| Released | March 13, 2025 | June 17, 2025 |
| Context window | 256K | 1M |
| Input $/Mtok | $2.50 | $0.40 |
| Output $/Mtok | $10.00 | $2.20 |
| 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 MiniMax M1 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Command A has the edge where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Command A or MiniMax M1?
Command A costs $2.50 per million input tokens and $10.00 per million output tokens; MiniMax M1 costs $0.40 and $2.20. Cost per solved task is known for Command A only.
Which has the bigger context window, Command A or MiniMax M1?
MiniMax M1, with 1M tokens against 256K.
How many benchmarks is the Command A vs MiniMax M1 comparison based on?
29 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark and MiniMax M1's on 0. Where only one model has a result, the page says so instead of naming a winner.