Head-to-head · multimodal vs multimodal

Claude 3.7 Sonnet vs Llama 4 Maverick: which model should you choose?

We compared Claude 3.7 Sonnet and Llama 4 Maverick on price, context window and 12 benchmarks. Claude 3.7 Sonnet and Llama 4 Maverick are effectively tied on the index average; Llama 4 Maverick is cheaper on a blended 3:1 basis.

Anthropic

Claude 3.7 Sonnet

Claude 3.7 Sonnet is a multimodal model from Anthropic. It offers a 200,000-token context window, costs $14.91 per million input tokens and $74.27 per million output tokens, and averages 81.6 across the index's benchmark suite.

Input
$14.91 / 1M
Output
$74.27 / 1M
Context
200,000
Avg score
81.6
Open weights
No
Full Claude 3.7 Sonnet page
Meta AI

Llama 4 Maverick

Llama 4 Maverick is a multimodal model from Meta AI. It offers a 200,000-token context window, costs $5.36 per million input tokens and $25.19 per million output tokens, and averages 81.6 across the index's benchmark suite.

Input
$5.36 / 1M
Output
$25.19 / 1M
Context
200,000
Avg score
81.6
Open weights
Yes
Full Llama 4 Maverick page

Specification comparison

SpecClaude 3.7 SonnetLlama 4 MaverickEdge
Input price / 1M$14.91$5.36B
Output price / 1M$74.27$25.19B
Context window200,000200,000Tie
Max output128,0008,192A
Average score81.681.6Tie
Arena Elo1451.91447.0A
Open weightsNoYesB

Benchmark comparison

Claude 3.7 Sonnet wins 5, Llama 4 Maverick wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude 3.7 SonnetLlama 4 MaverickGapWinner
MMLU-Pro83.584.71.2Llama 4 Maverick
GPQA Diamond80.276.83.4Claude 3.7 Sonnet
SWE-bench Verified70.171.81.7Llama 4 Maverick
HumanEval85.787.31.6Llama 4 Maverick
MATH-50088.982.76.2Claude 3.7 Sonnet
AIME 202581.279.61.6Claude 3.7 Sonnet
LiveCodeBench75.075.70.7Llama 4 Maverick
IFEval88.587.51.0Claude 3.7 Sonnet
TruthfulQA81.782.60.9Llama 4 Maverick
HellaSwag87.688.20.6Llama 4 Maverick
MMMU75.580.44.9Llama 4 Maverick
Arena Elo1451.91447.04.9Claude 3.7 Sonnet

Price analysis

On a blended 3:1 input-to-output basis, Claude 3.7 Sonnet costs about $29.75 per million tokens and Llama 4 Maverick costs about $10.32. Llama 4 Maverick is roughly 65% cheaper than Claude 3.7 Sonnet. 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 3.7 Sonnet wins 5, Llama 4 Maverick wins 7, and 0 are tied. The two models are effectively tied on the index average at 81.6.

The price picture favours Llama 4 Maverick. 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 Llama 4 Maverick if cost is the constraint and Claude 3.7 Sonnet if context is the constraint. Test both on a sample of your own traffic before committing.

Choose Claude 3.7 Sonnet if

  • You need the larger 128,000-token output limit.

Choose Llama 4 Maverick if

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

FAQ

Is Claude 3.7 Sonnet better than Llama 4 Maverick?

The two models are effectively tied on the index average at 81.6. The better choice depends on price, context and your task. Claude 3.7 Sonnet wins 5 benchmarks, Llama 4 Maverick wins 7.

Which is cheaper, Claude 3.7 Sonnet or Llama 4 Maverick?

Llama 4 Maverick is cheaper on a blended 3:1 basis at about $10.32 per million tokens, versus $29.75 for Claude 3.7 Sonnet.

Which has the larger context window?

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

Are these models open weights?

Claude 3.7 Sonnet is proprietary; Llama 4 Maverick is open weights.

Which should I choose for production?

If you need a single default, start with Llama 4 Maverick if cost is the constraint and Claude 3.7 Sonnet if context is the constraint. Test both on a sample of your own traffic before committing.

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