Head-to-head · multimodal vs multimodal

Claude 3.7 Sonnet vs Gemini 2.5 Pro: which model should you choose?

We compared Claude 3.7 Sonnet and Gemini 2.5 Pro on price, context window and 12 benchmarks. Claude 3.7 Sonnet and Gemini 2.5 Pro are effectively tied on the index average; Gemini 2.5 Pro 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
Google DeepMind

Gemini 2.5 Pro

Gemini 2.5 Pro is a multimodal model from Google DeepMind. It offers a 200,000-token context window, costs $15.20 per million input tokens and $57.83 per million output tokens, and averages 81.6 across the index's benchmark suite.

Input
$15.20 / 1M
Output
$57.83 / 1M
Context
200,000
Avg score
81.6
Open weights
No
Full Gemini 2.5 Pro page

Specification comparison

SpecClaude 3.7 SonnetGemini 2.5 ProEdge
Input price / 1M$14.91$15.20A
Output price / 1M$74.27$57.83B
Context window200,000200,000Tie
Max output128,00016,384A
Average score81.681.6Tie
Arena Elo1451.91455.0B
Open weightsNoNoTie

Benchmark comparison

Claude 3.7 Sonnet wins 4, Gemini 2.5 Pro wins 8, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude 3.7 SonnetGemini 2.5 ProGapWinner
MMLU-Pro83.583.60.1Gemini 2.5 Pro
GPQA Diamond80.276.53.7Claude 3.7 Sonnet
SWE-bench Verified70.170.20.1Gemini 2.5 Pro
HumanEval85.787.72.0Gemini 2.5 Pro
MATH-50088.986.82.1Claude 3.7 Sonnet
AIME 202581.276.15.1Claude 3.7 Sonnet
LiveCodeBench75.076.21.2Gemini 2.5 Pro
IFEval88.587.60.9Claude 3.7 Sonnet
TruthfulQA81.782.81.1Gemini 2.5 Pro
HellaSwag87.689.72.1Gemini 2.5 Pro
MMMU75.580.55.0Gemini 2.5 Pro
Arena Elo1451.91455.03.1Gemini 2.5 Pro

Price analysis

On a blended 3:1 input-to-output basis, Claude 3.7 Sonnet costs about $29.75 per million tokens and Gemini 2.5 Pro costs about $25.86. Gemini 2.5 Pro is roughly 13% 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 4, Gemini 2.5 Pro wins 8, and 0 are tied. The two models are effectively tied on the index average at 81.6.

The price picture favours Gemini 2.5 Pro. 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 Gemini 2.5 Pro 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 Gemini 2.5 Pro if

  • Unit cost matters and you want the cheaper blended price.
  • The workload needs multi-step reasoning.

FAQ

Is Claude 3.7 Sonnet better than Gemini 2.5 Pro?

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 4 benchmarks, Gemini 2.5 Pro wins 8.

Which is cheaper, Claude 3.7 Sonnet or Gemini 2.5 Pro?

Gemini 2.5 Pro is cheaper on a blended 3:1 basis at about $25.86 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; Gemini 2.5 Pro is proprietary.

Which should I choose for production?

If you need a single default, start with Gemini 2.5 Pro 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.

Related comparisons