Head-to-head · multimodal vs multimodal

MiniMax-M2 vs Sonar Pro Max: which model should you choose?

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

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
Perplexity

Sonar Pro Max

Sonar Pro Max is a multimodal model from Perplexity. It offers a 128,000-token context window, costs $14.01 per million input tokens and $69.33 per million output tokens, and averages 81.1 across the index's benchmark suite.

Input
$14.01 / 1M
Output
$69.33 / 1M
Context
128,000
Avg score
81.1
Open weights
No
Full Sonar Pro Max page

Specification comparison

SpecMiniMax-M2Sonar Pro MaxEdge
Input price / 1M$5.19$14.01A
Output price / 1M$22.73$69.33A
Context window200,000128,000A
Max output65,5364,096A
Average score80.681.1B
Arena Elo1423.81437.8B
Open weightsYesNoA

Benchmark comparison

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

BenchmarkMiniMax-M2Sonar Pro MaxGapWinner
MMLU-Pro81.883.71.9Sonar Pro Max
GPQA Diamond75.478.83.4Sonar Pro Max
SWE-bench Verified69.971.71.8Sonar Pro Max
HumanEval88.085.12.9MiniMax-M2
MATH-50082.386.23.9Sonar Pro Max
AIME 202578.174.93.2MiniMax-M2
LiveCodeBench73.475.72.3Sonar Pro Max
IFEval86.188.32.2Sonar Pro Max
TruthfulQA83.582.01.5MiniMax-M2
HellaSwag90.488.02.4MiniMax-M2
MMMU78.077.20.8MiniMax-M2
Arena Elo1423.81437.814.0Sonar Pro Max

Price analysis

On a blended 3:1 input-to-output basis, MiniMax-M2 costs about $9.57 per million tokens and Sonar Pro Max costs about $27.84. MiniMax-M2 is roughly 66% cheaper than Sonar Pro Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

MiniMax-M2 has the larger context window at 200,000 tokens, compared with 128,000 for Sonar Pro Max. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, MiniMax-M2 wins 5, Sonar Pro Max wins 7, and 0 are tied. On the index average, Sonar Pro Max leads MiniMax-M2 by 0.5 points (81.1 versus 80.6).

The price picture favours MiniMax-M2. The context picture favours MiniMax-M2. 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 Sonar Pro Max for quality-sensitive work and MiniMax-M2 for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose MiniMax-M2 if

  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 200,000-token context window.
  • You need the larger 65,536-token output limit.
  • You need open weights for self-hosting or fine-tuning.

Choose Sonar Pro Max if

  • You want the higher average benchmark score in this index.

FAQ

Is MiniMax-M2 better than Sonar Pro Max?

On the index average, Sonar Pro Max leads MiniMax-M2 by 0.5 points (81.1 versus 80.6). The better choice depends on price, context and your task. MiniMax-M2 wins 5 benchmarks, Sonar Pro Max wins 7.

Which is cheaper, MiniMax-M2 or Sonar Pro Max?

MiniMax-M2 is cheaper on a blended 3:1 basis at about $9.57 per million tokens, versus $27.84 for Sonar Pro Max.

Which has the larger context window?

MiniMax-M2 has the larger context window at 200,000 tokens. Sonar Pro Max has 128,000 tokens.

Are these models open weights?

MiniMax-M2 is open weights; Sonar Pro Max is proprietary.

Which should I choose for production?

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

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