Head-to-head · multimodal vs multimodal

Command A Max vs Kimi K1.5 Chat: which model should you choose?

We compared Command A Max and Kimi K1.5 Chat on price, context window and 12 benchmarks. Kimi K1.5 Chat has the stronger average benchmark score; Kimi K1.5 Chat 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
Moonshot AI

Kimi K1.5 Chat

Kimi K1.5 Chat is a multimodal model from Moonshot AI. It offers a 128,000-token context window, costs $5.11 per million input tokens and $26.59 per million output tokens, and averages 80.2 across the index's benchmark suite.

Input
$5.11 / 1M
Output
$26.59 / 1M
Context
128,000
Avg score
80.2
Open weights
Yes
Full Kimi K1.5 Chat page

Specification comparison

SpecCommand A MaxKimi K1.5 ChatEdge
Input price / 1M$14.28$5.11B
Output price / 1M$70.22$26.59B
Context window400,000128,000A
Max output8,19232,768B
Average score79.980.2B
Arena Elo1443.71422.6A
Open weightsNoYesB

Benchmark comparison

Command A Max wins 5, Kimi K1.5 Chat wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkCommand A MaxKimi K1.5 ChatGapWinner
MMLU-Pro84.381.33.0Command A Max
GPQA Diamond74.578.13.6Kimi K1.5 Chat
SWE-bench Verified69.769.90.2Kimi K1.5 Chat
HumanEval83.484.30.9Kimi K1.5 Chat
MATH-50085.781.74.0Command A Max
AIME 202577.281.44.2Kimi K1.5 Chat
LiveCodeBench73.175.72.6Kimi K1.5 Chat
IFEval86.788.21.5Kimi K1.5 Chat
TruthfulQA82.280.31.9Command A Max
HellaSwag87.187.20.1Kimi K1.5 Chat
MMMU74.673.61.0Command A Max
Arena Elo1443.71422.621.1Command A Max

Price analysis

On a blended 3:1 input-to-output basis, Command A Max costs about $28.27 per million tokens and Kimi K1.5 Chat costs about $10.48. Kimi K1.5 Chat is roughly 63% 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 Kimi K1.5 Chat. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Command A Max wins 5, Kimi K1.5 Chat wins 7, and 0 are tied. On the index average, Kimi K1.5 Chat leads Command A Max by 0.3 points (80.2 versus 79.9).

The price picture favours Kimi K1.5 Chat. 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 Kimi K1.5 Chat for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Command A Max if

  • You need the larger 400,000-token context window.

Choose Kimi K1.5 Chat if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 32,768-token output limit.
  • You need open weights for self-hosting or fine-tuning.

FAQ

Is Command A Max better than Kimi K1.5 Chat?

On the index average, Kimi K1.5 Chat leads Command A Max by 0.3 points (80.2 versus 79.9). The better choice depends on price, context and your task. Command A Max wins 5 benchmarks, Kimi K1.5 Chat wins 7.

Which is cheaper, Command A Max or Kimi K1.5 Chat?

Kimi K1.5 Chat is cheaper on a blended 3:1 basis at about $10.48 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. Kimi K1.5 Chat has 128,000 tokens.

Are these models open weights?

Command A Max is proprietary; Kimi K1.5 Chat is open weights.

Which should I choose for production?

If you need a single default, start with Kimi K1.5 Chat for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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