Head-to-head · multimodal vs multimodal

Command A Max vs MiniMax-M2 Instruct: which model should you choose?

We compared Command A Max and MiniMax-M2 Instruct on price, context window and 12 benchmarks. Command A Max has the stronger average benchmark score; MiniMax-M2 Instruct is cheaper on a blended 3:1 basis.

Cohere

Command A Max

Command A Max is a multimodal model from Cohere. It offers a 400,000-token context window, costs $14.28 per million input tokens and $70.22 per million output tokens, and averages 79.9 across the index's benchmark suite.

Input
$14.28 / 1M
Output
$70.22 / 1M
Context
400,000
Avg score
79.9
Open weights
No
Full Command A Max page
MiniMax

MiniMax-M2 Instruct

MiniMax-M2 Instruct is a multimodal model from MiniMax. It offers a 128,000-token context window, costs $5.11 per million input tokens and $25.04 per million output tokens, and averages 79.4 across the index's benchmark suite.

Input
$5.11 / 1M
Output
$25.04 / 1M
Context
128,000
Avg score
79.4
Open weights
Yes
Full MiniMax-M2 Instruct page

Specification comparison

SpecCommand A MaxMiniMax-M2 InstructEdge
Input price / 1M$14.28$5.11B
Output price / 1M$70.22$25.04B
Context window400,000128,000A
Max output8,1924,096A
Average score79.979.4A
Arena Elo1443.71442.2A
Open weightsNoYesB

Benchmark comparison

Command A Max wins 7, MiniMax-M2 Instruct wins 5, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkCommand A MaxMiniMax-M2 InstructGapWinner
MMLU-Pro84.382.12.2Command A Max
GPQA Diamond74.573.70.8Command A Max
SWE-bench Verified69.769.90.2MiniMax-M2 Instruct
HumanEval83.486.73.3MiniMax-M2 Instruct
MATH-50085.782.13.6Command A Max
AIME 202577.277.80.6MiniMax-M2 Instruct
LiveCodeBench73.171.12.0Command A Max
IFEval86.787.30.6MiniMax-M2 Instruct
TruthfulQA82.280.02.2Command A Max
HellaSwag87.188.51.4MiniMax-M2 Instruct
MMMU74.674.10.5Command A Max
Arena Elo1443.71442.21.5Command A Max

Price analysis

On a blended 3:1 input-to-output basis, Command A Max costs about $28.27 per million tokens and MiniMax-M2 Instruct costs about $10.09. MiniMax-M2 Instruct is roughly 64% cheaper than Command A Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Command A Max has the larger context window at 400,000 tokens, compared with 128,000 for MiniMax-M2 Instruct. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Command A Max wins 7, MiniMax-M2 Instruct wins 5, and 0 are tied. On the index average, Command A Max leads MiniMax-M2 Instruct by 0.5 points (79.9 versus 79.4).

The price picture favours MiniMax-M2 Instruct. The context picture favours Command A Max. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.

If you need a single default, start with Command A Max for quality-sensitive work and MiniMax-M2 Instruct for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Command A Max if

  • You want the higher average benchmark score in this index.
  • You need the larger 400,000-token context window.
  • You need the larger 8,192-token output limit.

Choose MiniMax-M2 Instruct if

  • Unit cost matters and you want the cheaper blended price.
  • You need open weights for self-hosting or fine-tuning.

FAQ

Is Command A Max better than MiniMax-M2 Instruct?

On the index average, Command A Max leads MiniMax-M2 Instruct by 0.5 points (79.9 versus 79.4). The better choice depends on price, context and your task. Command A Max wins 7 benchmarks, MiniMax-M2 Instruct wins 5.

Which is cheaper, Command A Max or MiniMax-M2 Instruct?

MiniMax-M2 Instruct is cheaper on a blended 3:1 basis at about $10.09 per million tokens, versus $28.27 for Command A Max.

Which has the larger context window?

Command A Max has the larger context window at 400,000 tokens. MiniMax-M2 Instruct has 128,000 tokens.

Are these models open weights?

Command A Max is proprietary; MiniMax-M2 Instruct is open weights.

Which should I choose for production?

If you need a single default, start with Command A Max for quality-sensitive work and MiniMax-M2 Instruct for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

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