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Command R (08-2024) vs MiniMax M1

Command R (08-2024) costs 3.7x less per output token than MiniMax M1 ($0.60 vs $2.20 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 M1MiniMax
Coding
No data
Overall
No data
Output $/M
$2.20
25
vs boards won of 25 shared

Command R (08-2024) or MiniMax M1: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Command R (08-2024) for output tokens 3.7x cheaper ($0.60 vs $2.20 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
25
Command R (08-2024) only
0
MiniMax M1 only
4
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 M1 not benchmarked.
Widest category
Math, 28.2 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: math: Command R (08-2024) 1188 against MiniMax M1 1361, 28.8 points apart on a 0 to 100 scale.
Output price
Command R (08-2024) $0.60 against MiniMax M1 $2.20 per million output tokens, 3.7x apart.
Context window
Command R (08-2024) takes 128K 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.

Boards won, where both have a result
CategoryCommand R (08-2024)BarsMiniMax M1Ties
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 M1
BenchmarkCommand R (08-2024)MiniMax M1Leader
LMArena Text: coding11871359MiniMax M1
LMArena Text: software and IT11971359MiniMax M1
Neither model has a result on the other 37 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Command R (08-2024) and MiniMax M1
BenchmarkCommand R (08-2024)MiniMax M1Leader
AA Intelligence IndexNot measured11.7Only MiniMax M1 measured
Neither model has a result on the other 1 board here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for Command R (08-2024) and MiniMax M1
BenchmarkCommand R (08-2024)MiniMax M1Leader
Neither model has a result on 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Command R (08-2024) and MiniMax M1
BenchmarkCommand R (08-2024)MiniMax M1Leader
LMArena Text: hard prompts11861339MiniMax M1
LMArena Text: expert11731317MiniMax M1
LMArena Text: hard prompts in English11941353MiniMax M1
Neither model has a result on the other 19 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Command R (08-2024) and MiniMax M1
BenchmarkCommand R (08-2024)MiniMax M1Leader
LMArena Text: math11881361MiniMax M1
LMArena Text: mathematical work11981363MiniMax M1
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Command R (08-2024) and MiniMax M1
BenchmarkCommand R (08-2024)MiniMax M1Leader
LMArena Text: science12521354MiniMax M1
LMArena Text: medicine and healthcare12381355MiniMax M1
LMArena Text: legal and government12681337MiniMax M1
LMArena Text: business and finance12151319MiniMax M1
Neither model has a result on the other 14 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Command R (08-2024) and MiniMax M1
BenchmarkCommand R (08-2024)MiniMax M1Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for Command R (08-2024) and MiniMax M1
BenchmarkCommand R (08-2024)MiniMax M1Leader
LMArena Text12291343MiniMax M1
LMArena Text: instruction following11971312MiniMax M1
LMArena Text: creative writing12341297MiniMax M1
LMArena Text: English12381363MiniMax M1
LMArena Text: non-English12161319MiniMax M1
LMArena Text: Chinese12271360MiniMax M1
LMArena Text: German12161350MiniMax M1
LMArena Text: Japanese11661217MiniMax M1
LMArena Text: Korean11621266MiniMax M1
LMArena Text: FrenchNot measured1370Only MiniMax M1 measured
LMArena Text: SpanishNot measured1353Only MiniMax M1 measured
LMArena Text: Russian12271329MiniMax M1
LMArena Text: PolishNot measured1329Only MiniMax M1 measured
LMArena Text: multi-turn12131335MiniMax M1
LMArena Text: longer queries12301326MiniMax M1
LMArena Text: writing and language12411311MiniMax M1
LMArena Text: entertainment and media12231303MiniMax M1
Neither model has a result on the other 29 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 M1
BenchmarkCommand R (08-2024)MiniMax M1Leader
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 M1$0.0015Fits 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 M1$0.027Fits 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 M1$0.102Fits in one request

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 M1
SpecificationCohere Command R (08-2024)MiniMax M1
MakerCohereMiniMax
WeightsNo public weights listedNo public weights listed
ReleasedAugust 30, 2024June 17, 2025
Context window128K1M
Input $/Mtok$0.15$0.40
Output $/Mtok$0.60$2.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command R (08-2024) better than MiniMax M1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Command R (08-2024) for output tokens 3.7x cheaper ($0.60 vs $2.20 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Command R (08-2024) or MiniMax M1?

Command R (08-2024) costs $0.15 per million input tokens and $0.60 per million output tokens; MiniMax M1 costs $0.40 and $2.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Command R (08-2024) or MiniMax M1?

MiniMax M1, with 1M tokens against 128K.

How many benchmarks is the Command R (08-2024) vs MiniMax M1 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 M1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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