Head-to-head · multimodal vs multimodal

Claude Haiku 4.5 Turbo vs MiniMax-M2: which model should you choose?

We compared Claude Haiku 4.5 Turbo and MiniMax-M2 on price, context window and 12 benchmarks. MiniMax-M2 has the stronger average benchmark score; MiniMax-M2 is cheaper on a blended 3:1 basis.

Anthropic

Claude Haiku 4.5 Turbo

Claude Haiku 4.5 Turbo is a multimodal model from Anthropic. It offers a 200,000-token context window, costs $14.37 per million input tokens and $54.76 per million output tokens, and averages 80.0 across the index's benchmark suite.

Input
$14.37 / 1M
Output
$54.76 / 1M
Context
200,000
Avg score
80.0
Open weights
No
Full Claude Haiku 4.5 Turbo page
MiniMax

MiniMax-M2

MiniMax-M2 is a multimodal model from MiniMax. It offers a 200,000-token context window, costs $5.19 per million input tokens and $22.73 per million output tokens, and averages 80.6 across the index's benchmark suite.

Input
$5.19 / 1M
Output
$22.73 / 1M
Context
200,000
Avg score
80.6
Open weights
Yes
Full MiniMax-M2 page

Specification comparison

SpecClaude Haiku 4.5 TurboMiniMax-M2Edge
Input price / 1M$14.37$5.19B
Output price / 1M$54.76$22.73B
Context window200,000200,000Tie
Max output32,76865,536B
Average score80.080.6B
Arena Elo1434.51423.8A
Open weightsNoYesB

Benchmark comparison

Claude Haiku 4.5 Turbo wins 4, MiniMax-M2 wins 8, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude Haiku 4.5 TurboMiniMax-M2GapWinner
MMLU-Pro80.681.81.2MiniMax-M2
GPQA Diamond75.175.40.3MiniMax-M2
SWE-bench Verified68.469.91.5MiniMax-M2
HumanEval87.088.01.0MiniMax-M2
MATH-50083.782.31.4Claude Haiku 4.5 Turbo
AIME 202579.278.11.1Claude Haiku 4.5 Turbo
LiveCodeBench71.773.41.7MiniMax-M2
IFEval87.186.11.0Claude Haiku 4.5 Turbo
TruthfulQA81.083.52.5MiniMax-M2
HellaSwag88.190.42.3MiniMax-M2
MMMU77.778.00.3MiniMax-M2
Arena Elo1434.51423.810.7Claude Haiku 4.5 Turbo

Price analysis

On a blended 3:1 input-to-output basis, Claude Haiku 4.5 Turbo costs about $24.47 per million tokens and MiniMax-M2 costs about $9.57. MiniMax-M2 is roughly 61% cheaper than Claude Haiku 4.5 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Both models list a 200,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude Haiku 4.5 Turbo wins 4, MiniMax-M2 wins 8, and 0 are tied. On the index average, MiniMax-M2 leads Claude Haiku 4.5 Turbo by 0.6 points (80.6 versus 80.0).

The price picture favours MiniMax-M2. The context picture is effectively a tie. 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 MiniMax-M2 for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Claude Haiku 4.5 Turbo if

  • You prefer Anthropic's tooling or already use it.

Choose MiniMax-M2 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 65,536-token output limit.
  • You need open weights for self-hosting or fine-tuning.

FAQ

Is Claude Haiku 4.5 Turbo better than MiniMax-M2?

On the index average, MiniMax-M2 leads Claude Haiku 4.5 Turbo by 0.6 points (80.6 versus 80.0). The better choice depends on price, context and your task. Claude Haiku 4.5 Turbo wins 4 benchmarks, MiniMax-M2 wins 8.

Which is cheaper, Claude Haiku 4.5 Turbo or MiniMax-M2?

MiniMax-M2 is cheaper on a blended 3:1 basis at about $9.57 per million tokens, versus $24.47 for Claude Haiku 4.5 Turbo.

Which has the larger context window?

Both models list a 200,000-token context window.

Are these models open weights?

Claude Haiku 4.5 Turbo is proprietary; MiniMax-M2 is open weights.

Which should I choose for production?

If you need a single default, start with MiniMax-M2 for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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