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Command R (08-2024) vs MiniMax M2.5

Command R (08-2024) costs 2.0x less per output token than MiniMax M2.5 ($0.60 vs $1.20 per million). Updated October 22, 2026; 25 benchmarks have a result for both.

Command R (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.60
0
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
25
vs boards won of 25 shared

Command R (08-2024) or MiniMax M2.5: which to pick

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; Command R (08-2024) has none, so the two cannot be ranked on coding.

Pick Command R (08-2024) for output tokens 2.0x cheaper ($0.60 vs $1.20 per million).

Shared results
25
Command R (08-2024) only
0
MiniMax M2.5 only
43
Like-for-like categories
5 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 R (08-2024) not benchmarked, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Reasoning, 32.3 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: expert: Command R (08-2024) 1173 against MiniMax M2.5 1378, 34.2 points apart on a 0 to 100 scale.
Output price
Command R (08-2024) $0.60 against MiniMax M2.5 $1.20 per million output tokens, 2.0x apart.
Context window
Command R (08-2024) takes 128K 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 R (08-2024)BarsMiniMax M2.5Ties
Coding02
Reasoning03
Math02
Knowledge04
General014
All shared boards025
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Command R (08-2024) and MiniMax M2.5
BenchmarkCommand R (08-2024)MiniMax 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
LiveCodeBench (Vals AI)Not measured79.2%Only MiniMax M2.5 measured
SWE-bench Verified (Vals AI)Not measured74.2%Only MiniMax M2.5 measured
Vibe Code Bench (Vals AI)Not measured14.8%Only MiniMax M2.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only MiniMax M2.5 measured
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
ALE-BenchNot measured618.2Only MiniMax M2.5 measured
LMArena Text: coding11871380MiniMax M2.5
LMArena Text: software and IT11971383MiniMax 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 26 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Command R (08-2024) and MiniMax M2.5
BenchmarkCommand R (08-2024)MiniMax M2.5Leader
AA Intelligence IndexNot measured22.8Only MiniMax M2.5 measured
Epoch Capabilities IndexNot measured146.6Only MiniMax M2.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Command R (08-2024) and MiniMax M2.5
BenchmarkCommand R (08-2024)MiniMax M2.5Leader
τ²-Bench TelecomNot measured95.3%Only MiniMax M2.5 measured
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Command R (08-2024) and MiniMax M2.5
BenchmarkCommand R (08-2024)MiniMax M2.5Leader
GPQA DiamondNot measured82.1%Only MiniMax M2.5 measured
GPQA Diamond (Artificial Analysis run)Not measured84.8%Only MiniMax M2.5 measured
Humanity's Last Exam (Artificial Analysis run)Not measured20.5%Only MiniMax M2.5 measured
ARC-AGINot measured63.7%Only MiniMax M2.5 measured
ARC-AGI-2Not measured4.9%Only MiniMax M2.5 measured
LMArena Text: hard prompts11861372MiniMax M2.5
LMArena Text: expert11731378MiniMax M2.5
LMArena Text: hard prompts in English11941384MiniMax M2.5
Kagi LLM BenchmarkNot measured55.2%Only MiniMax M2.5 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Command R (08-2024) and MiniMax M2.5
BenchmarkCommand R (08-2024)MiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 measured
ProofBenchNot measured4.0%Only MiniMax M2.5 measured
LMArena Text: math11881378MiniMax M2.5
LMArena Text: mathematical work11981378MiniMax M2.5
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Command R (08-2024) and MiniMax M2.5
BenchmarkCommand R (08-2024)MiniMax M2.5Leader
MMLU ProNot measured80.1%Only MiniMax M2.5 measured
LegalBench (Vals AI)Not measured80.0%Only MiniMax M2.5 measured
CaseLaw (Vals AI)Not measured53.5%Only MiniMax M2.5 measured
CorpFin (Vals AI)Not measured59.6%Only MiniMax M2.5 measured
TaxEval (Vals AI)Not measured68.2%Only MiniMax M2.5 measured
MedQA (Vals AI)Not measured92.5%Only MiniMax M2.5 measured
LMArena Text: science12521369MiniMax M2.5
LMArena Text: medicine and healthcare12381357MiniMax M2.5
LMArena Text: legal and government12681366MiniMax M2.5
LMArena Text: business and finance12151356MiniMax M2.5
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Command R (08-2024) and MiniMax M2.5
BenchmarkCommand R (08-2024)MiniMax 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 measured1172Only 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 measured1150Only 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 index014
General benchmarks for Command R (08-2024) and MiniMax M2.5
BenchmarkCommand R (08-2024)MiniMax M2.5Leader
IFBenchNot measured71.6%Only MiniMax M2.5 measured
Long context reasoning (AA-LCR)Not measured73.3%Only MiniMax M2.5 measured
CL-benchNot measured11.4%Only MiniMax M2.5 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text12291359MiniMax M2.5
LMArena Text: instruction following11971353MiniMax M2.5
LMArena Text: creative writing12341331MiniMax M2.5
LMArena Text: English12381380MiniMax M2.5
LMArena Text: non-English12161338MiniMax M2.5
LMArena Text: Chinese12271393MiniMax M2.5
LMArena Text: German12161361MiniMax M2.5
LMArena Text: Japanese11661171MiniMax M2.5
LMArena Text: Korean11621233MiniMax M2.5
LMArena Text: FrenchNot measured1363Only MiniMax M2.5 measured
LMArena Text: SpanishNot measured1353Only MiniMax M2.5 measured
LMArena Text: Russian12271359MiniMax M2.5
LMArena Text: PolishNot measured1334Only MiniMax M2.5 measured
LMArena Text: multi-turn12131364MiniMax M2.5
LMArena Text: longer queries12301366MiniMax M2.5
LMArena Text: writing and language12411345MiniMax M2.5
LMArena Text: entertainment and media12231329MiniMax M2.5
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Command R (08-2024) and MiniMax M2.5
BenchmarkCommand R (08-2024)MiniMax 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 R (08-2024)$0.0004Fits in one request
MiniMax M2.5$0.0009Fits in one request

Command R (08-2024) costs less

Repository review

50K input + 3K output tokens

Command R (08-2024)$0.0093Fits in one request
MiniMax M2.5$0.019Fits in one request

Command R (08-2024) costs less

Agent loop

200K input + 10K output tokens

Command R (08-2024)$0.036Exceeds the context window
MiniMax M2.5$0.072Exceeds the context window

Command R (08-2024) 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 R (08-2024) and MiniMax M2.5
SpecificationCohere Command R (08-2024)MiniMax M2.5
MakerCohereMiniMax
WeightsNo public weights listedOpen weights
ReleasedAugust 30, 2024February 12, 2026
Context window128K205K
Input $/Mtok$0.15$0.30
Output $/Mtok$0.60$1.20
Coding indexNot benchmarked37.2
Independent measurements behind it03
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is Command R (08-2024) better than MiniMax M2.5 for coding?

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; Command R (08-2024) has none, so the two cannot be ranked on coding. Pick Command R (08-2024) for output tokens 2.0x cheaper ($0.60 vs $1.20 per million).

Which is cheaper, Command R (08-2024) or MiniMax M2.5?

Command R (08-2024) costs $0.15 per million input tokens and $0.60 per million output tokens; MiniMax M2.5 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.5 only.

Which has the bigger context window, Command R (08-2024) or MiniMax M2.5?

MiniMax M2.5, with 205K tokens against 128K.

How many benchmarks is the Command R (08-2024) vs MiniMax M2.5 comparison based on?

25 benchmarks have a result for both models as of October 22, 2026. Command R (08-2024)'s coding index rests on 0 independent benchmarks 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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