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Command A vs MiniMax M2.5

MiniMax M2.5 leads Command A on the Artificial Analysis Intelligence Index, 22.8 to 13.1, and MiniMax M2.5 costs 8.3x less per output token ($1.20 vs $10.00 per million). Updated October 21, 2026; 46 benchmarks have a result for both.

Replace Command A Replace MiniMax M2.5
Command ACohere
Coding
No data
Overall
No data
Output $/M
$10.00
4
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
42
vs boards won of 46 shared

Command A or MiniMax M2.5: which to pick

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding.

Pick Command A for a larger context window (256K against 205K tokens) and work measured by CaseLaw (Vals AI) or IFBench, where it leads.

Model ACommand ACohereNot benchmarked1 independent benchmark$2.69 per solved taskModel BMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved task
Shared results
46
Command A only
16
MiniMax M2.5 only
22
Like-for-like categories
7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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.

At a glance

Coding index
Command A not benchmarked, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Math, 33.1 points apart on average over 3 shared benchmarks.
Widest single gap
AIME: Command A 13.3% against MiniMax M2.5 88.8%, 75.4 points apart on a 0 to 100 scale.
Output price
Command A $10.00 against MiniMax M2.5 $1.20 per million output tokens, 8.3x apart.
Context window
Command A takes 256K tokens, MiniMax M2.5 205K.

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.

Boards won, where both have a result
CategoryCommand ABarsMiniMax M2.5Ties
Coding05
Intelligence01
Agentic work01
Reasoning07
Math03
Knowledge19
General316
All shared boards442
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Command A and MiniMax M2.5
BenchmarkCommand AMiniMax M2.5Leader
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LMArena WebDevNot measured1386Only MiniMax M2.5 measured
AA Coding Index27.8Not measuredOnly Command A measured
LiveCodeBench (Vals AI)35.1%79.2%MiniMax M2.5
SWE-bench Verified (Vals AI)7.8%74.2%MiniMax M2.5
Vibe Code Bench (Vals AI)Not measured14.8%Only MiniMax M2.5 measured
Terminal-Bench 2.1 (Vals AI)17.6%Not measuredOnly Command A measured
LiveCodeBench (Artificial Analysis run)28.7%Not measuredOnly Command A measured
SciCode38.5%Not measuredOnly Command A measured
Terminal-Bench Hard (Artificial Analysis run)25.0%34.8%MiniMax M2.5
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
ALE-BenchNot measured618.2Only MiniMax M2.5 measured
LMArena Text: coding13301380MiniMax M2.5
LMArena Text: software and IT13361383MiniMax M2.5
LMArena WebDev: ReactNot measured1374Only MiniMax M2.5 measured
LMArena WebDev: HTMLNot measured1414Only MiniMax M2.5 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Command A and MiniMax M2.5
BenchmarkCommand AMiniMax M2.5Leader
AA Intelligence Index13.122.8MiniMax M2.5
Epoch Capabilities IndexNot measured146.6Only MiniMax M2.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Command A and MiniMax M2.5
BenchmarkCommand AMiniMax M2.5Leader
AA Agentic Index1.0Not measuredOnly Command A measured
Finance Agent (Vals AI)9.0%Not measuredOnly Command A measured
τ²-Bench Telecom80.7%95.3%MiniMax M2.5
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
Berkeley Function Calling Leaderboard (BFCL)46.5%Not measuredOnly 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 index07
Reasoning benchmarks for Command A and MiniMax M2.5
BenchmarkCommand AMiniMax M2.5Leader
GPQA Diamond48.5%82.1%MiniMax M2.5
GPQA Diamond (Artificial Analysis run)76.1%84.8%MiniMax M2.5
Humanity's Last Exam (Artificial Analysis run)12.0%20.5%MiniMax M2.5
ARC-AGINot measured63.7%Only MiniMax M2.5 measured
ARC-AGI-2Not measured4.9%Only MiniMax M2.5 measured
LMArena Text: hard prompts13261372MiniMax M2.5
LMArena Text: expert12961378MiniMax M2.5
LMArena Text: hard prompts in English13351384MiniMax M2.5
Kagi LLM Benchmark28.8%55.2%MiniMax M2.5
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Command A and MiniMax M2.5
BenchmarkCommand AMiniMax M2.5Leader
AIME13.3%88.8%MiniMax M2.5
MATH 500 (Vals AI)76.2%Not measuredOnly Command A measured
MGSM (Vals AI)85.7%Not measuredOnly Command A measured
AA Math Index13.0Not measuredOnly Command A measured
AIME 2025 (Artificial Analysis run)13.0%Not measuredOnly Command A measured
ProofBenchNot measured4.0%Only MiniMax M2.5 measured
LMArena Text: math13001378MiniMax M2.5
LMArena Text: mathematical work13121378MiniMax M2.5
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index19
Knowledge benchmarks for Command A and MiniMax M2.5
BenchmarkCommand AMiniMax M2.5Leader
MMLU Pro69.2%80.1%MiniMax M2.5
LegalBench (Vals AI)79.7%80.0%MiniMax M2.5
CaseLaw (Vals AI)64.5%53.5%Command A
CorpFin (Vals AI)46.0%59.6%MiniMax M2.5
TaxEval (Vals AI)61.4%68.2%MiniMax M2.5
MedQA (Vals AI)80.5%92.5%MiniMax M2.5
MedCode (Vals AI)19.7%Not measuredOnly Command A measured
MMLU Pro (Artificial Analysis run)71.2%Not measuredOnly Command A measured
LMArena Text: science13391369MiniMax M2.5
LMArena Text: medicine and healthcare13341357MiniMax M2.5
LMArena Text: legal and government13481366MiniMax M2.5
LMArena Text: business and finance13151356MiniMax M2.5
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Command A and MiniMax M2.5
BenchmarkCommand AMiniMax M2.5Leader
Design Arena: websitesNot measured1222Only MiniMax M2.5 measured
Design Arena: UI componentsNot measured1173Only MiniMax M2.5 measured
Design Arena: game devNot measured1176Only MiniMax M2.5 measured
Design Arena: data vizNot measured1171Only MiniMax M2.5 measured
Design Arena: 3DNot measured1170Only MiniMax M2.5 measured
Design Arena: all code categoriesNot measured1207Only MiniMax M2.5 measured
Design Arena: SVGNot measured1149Only MiniMax M2.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index316
General benchmarks for Command A and MiniMax M2.5
BenchmarkCommand AMiniMax M2.5Leader
MedScribe (Vals AI)55.7%Not measuredOnly Command A measured
IFBench73.9%71.6%Command A
Long context reasoning (AA-LCR)52.7%73.3%MiniMax M2.5
DTBench61.3%Not measuredOnly Command A measured
LMCA10.3%Not measuredOnly Command A measured
CL-benchNot measured11.4%Only MiniMax M2.5 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text13311359MiniMax M2.5
LMArena Text: instruction following13091353MiniMax M2.5
LMArena Text: creative writing13191331MiniMax M2.5
LMArena Text: English13441380MiniMax M2.5
LMArena Text: non-English13131338MiniMax M2.5
LMArena Text: Chinese13271393MiniMax M2.5
LMArena Text: German13421361MiniMax M2.5
LMArena Text: Japanese12851171Command A
LMArena Text: Korean12851233Command A
LMArena Text: French13511363MiniMax M2.5
LMArena Text: Spanish13471353MiniMax M2.5
LMArena Text: Russian13141359MiniMax M2.5
LMArena Text: Polish13241334MiniMax M2.5
LMArena Text: multi-turn13381364MiniMax M2.5
LMArena Text: longer queries13341366MiniMax M2.5
LMArena Text: writing and language13281345MiniMax M2.5
LMArena Text: entertainment and media13061329MiniMax M2.5
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Command A and MiniMax M2.5
BenchmarkCommand AMiniMax M2.5Leader
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

Command A$0.0075Fits in one request
MiniMax M2.5$0.0009Fits in one request

MiniMax M2.5 costs less

Repository review

50K input + 3K output tokens

Command A$0.155Fits in one request
MiniMax M2.5$0.019Fits in one request

MiniMax M2.5 costs less

Agent loop

200K input + 10K output tokens

Command A$0.600Fits in one request
MiniMax M2.5$0.072Exceeds the context window

MiniMax M2.5 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.

Specifications of Command A and MiniMax M2.5
SpecificationCohere Command AMiniMax M2.5
MakerCohereMiniMax
WeightsOpen weightsOpen weights
ReleasedMarch 13, 2025February 12, 2026
Context window256K205K
Input $/Mtok$2.50$0.30
Output $/Mtok$10.00$1.20
Coding indexNot benchmarked37.2
Independent measurements behind it13
Cost per solved task$2.69$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A better than MiniMax M2.5 for coding?

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding. Pick Command A for a larger context window (256K against 205K tokens) and work measured by CaseLaw (Vals AI) or IFBench, where it leads.

Which is cheaper, Command A or MiniMax M2.5?

Command A costs $2.50 per million input tokens and $10.00 per million output tokens; MiniMax M2.5 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Command A costs $2.69 and MiniMax M2.5 $0.62.

Which has the bigger context window, Command A or MiniMax M2.5?

Command A, with 256K tokens against 205K.

How many benchmarks is the Command A vs MiniMax M2.5 comparison based on?

46 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark and MiniMax M2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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