Head-to-head · multimodal vs multimodal

Nova Pro Max vs Sonar Pro Max: which model should you choose?

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

Amazon

Nova Pro Max

Nova Pro Max is a multimodal model from Amazon. It offers a 1,000,000-token context window, costs $14.05 per million input tokens and $71.59 per million output tokens, and averages 81.2 across the index's benchmark suite.

Input
$14.05 / 1M
Output
$71.59 / 1M
Context
1,000,000
Avg score
81.2
Open weights
No
Full Nova Pro Max 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

SpecNova Pro MaxSonar Pro MaxEdge
Input price / 1M$14.05$14.01B
Output price / 1M$71.59$69.33B
Context window1,000,000128,000A
Max output16,3844,096A
Average score81.281.1A
Arena Elo1423.21437.8B
Open weightsNoNoTie

Benchmark comparison

Nova Pro Max wins 6, Sonar Pro Max wins 5, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkNova Pro MaxSonar Pro MaxGapWinner
MMLU-Pro84.283.70.5Nova Pro Max
GPQA Diamond78.378.80.5Sonar Pro Max
SWE-bench Verified67.471.74.3Sonar Pro Max
HumanEval87.585.12.4Nova Pro Max
MATH-50083.886.22.4Sonar Pro Max
AIME 202579.374.94.4Nova Pro Max
LiveCodeBench77.075.71.3Nova Pro Max
IFEval86.488.31.9Sonar Pro Max
TruthfulQA83.482.01.4Nova Pro Max
HellaSwag88.988.00.9Nova Pro Max
MMMU77.277.20.0Tie
Arena Elo1423.21437.814.6Sonar Pro Max

Price analysis

On a blended 3:1 input-to-output basis, Nova Pro Max costs about $28.44 per million tokens and Sonar Pro Max costs about $27.84. Sonar Pro Max is roughly 2% cheaper than Nova Pro Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Nova Pro Max has the larger context window at 1,000,000 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, Nova Pro Max wins 6, Sonar Pro Max wins 5, and 1 are tied. On the index average, Nova Pro Max leads Sonar Pro Max by 0.1 points (81.2 versus 81.1).

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

Choose Nova Pro Max if

  • You want the higher average benchmark score in this index.
  • You need the larger 1,000,000-token context window.
  • You need the larger 16,384-token output limit.

Choose Sonar Pro Max if

  • Unit cost matters and you want the cheaper blended price.

FAQ

Is Nova Pro Max better than Sonar Pro Max?

On the index average, Nova Pro Max leads Sonar Pro Max by 0.1 points (81.2 versus 81.1). The better choice depends on price, context and your task. Nova Pro Max wins 6 benchmarks, Sonar Pro Max wins 5.

Which is cheaper, Nova Pro Max or Sonar Pro Max?

Sonar Pro Max is cheaper on a blended 3:1 basis at about $27.84 per million tokens, versus $28.44 for Nova Pro Max.

Which has the larger context window?

Nova Pro Max has the larger context window at 1,000,000 tokens. Sonar Pro Max has 128,000 tokens.

Are these models open weights?

Nova Pro Max is proprietary; Sonar Pro Max is proprietary.

Which should I choose for production?

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

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