Head-to-head · multimodal vs multimodal

Claude 3.7 Sonnet vs Gemini 3 Flash Vision: which model should you choose?

We compared Claude 3.7 Sonnet and Gemini 3 Flash Vision on price, context window and 12 benchmarks. Gemini 3 Flash Vision has the stronger average benchmark score; Claude 3.7 Sonnet 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 3 Flash Vision

Gemini 3 Flash Vision is a multimodal model from Google DeepMind. It offers a 400,000-token context window, costs $15.06 per million input tokens and $82.14 per million output tokens, and averages 81.9 across the index's benchmark suite.

Input
$15.06 / 1M
Output
$82.14 / 1M
Context
400,000
Avg score
81.9
Open weights
No
Full Gemini 3 Flash Vision page

Specification comparison

SpecClaude 3.7 SonnetGemini 3 Flash VisionEdge
Input price / 1M$14.91$15.06A
Output price / 1M$74.27$82.14A
Context window200,000400,000B
Max output128,00032,768A
Average score81.681.9B
Arena Elo1451.91430.3A
Open weightsNoNoTie

Benchmark comparison

Claude 3.7 Sonnet wins 7, Gemini 3 Flash Vision wins 5, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude 3.7 SonnetGemini 3 Flash VisionGapWinner
MMLU-Pro83.581.81.7Claude 3.7 Sonnet
GPQA Diamond80.275.74.5Claude 3.7 Sonnet
SWE-bench Verified70.171.41.3Gemini 3 Flash Vision
HumanEval85.784.51.2Claude 3.7 Sonnet
MATH-50088.987.51.4Claude 3.7 Sonnet
AIME 202581.282.41.2Gemini 3 Flash Vision
LiveCodeBench75.073.21.8Claude 3.7 Sonnet
IFEval88.586.91.6Claude 3.7 Sonnet
TruthfulQA81.785.53.8Gemini 3 Flash Vision
HellaSwag87.691.53.9Gemini 3 Flash Vision
MMMU75.580.34.8Gemini 3 Flash Vision
Arena Elo1451.91430.321.6Claude 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 Gemini 3 Flash Vision costs about $31.83. Claude 3.7 Sonnet is roughly 7% cheaper than Gemini 3 Flash Vision. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Gemini 3 Flash Vision has the larger context window at 400,000 tokens, compared with 200,000 for Claude 3.7 Sonnet. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude 3.7 Sonnet wins 7, Gemini 3 Flash Vision wins 5, and 0 are tied. On the index average, Gemini 3 Flash Vision leads Claude 3.7 Sonnet by 0.3 points (81.9 versus 81.6).

The price picture favours Claude 3.7 Sonnet. The context picture favours Gemini 3 Flash Vision. 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 3 Flash Vision for quality-sensitive work and Claude 3.7 Sonnet for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Claude 3.7 Sonnet if

  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 128,000-token output limit.

Choose Gemini 3 Flash Vision if

  • You want the higher average benchmark score in this index.
  • You need the larger 400,000-token context window.

FAQ

Is Claude 3.7 Sonnet better than Gemini 3 Flash Vision?

On the index average, Gemini 3 Flash Vision leads Claude 3.7 Sonnet by 0.3 points (81.9 versus 81.6). The better choice depends on price, context and your task. Claude 3.7 Sonnet wins 7 benchmarks, Gemini 3 Flash Vision wins 5.

Which is cheaper, Claude 3.7 Sonnet or Gemini 3 Flash Vision?

Claude 3.7 Sonnet is cheaper on a blended 3:1 basis at about $29.75 per million tokens, versus $31.83 for Gemini 3 Flash Vision.

Which has the larger context window?

Gemini 3 Flash Vision has the larger context window at 400,000 tokens. Claude 3.7 Sonnet has 200,000 tokens.

Are these models open weights?

Claude 3.7 Sonnet is proprietary; Gemini 3 Flash Vision is proprietary.

Which should I choose for production?

If you need a single default, start with Gemini 3 Flash Vision for quality-sensitive work and Claude 3.7 Sonnet for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Related comparisons