Head-to-head · frontier vs frontier

Claude 3.7 Sonnet Max vs DeepSeek-V3.2: which model should you choose?

We compared Claude 3.7 Sonnet Max and DeepSeek-V3.2 on price, context window and 12 benchmarks. DeepSeek-V3.2 has the stronger average benchmark score; DeepSeek-V3.2 is cheaper on a blended 3:1 basis.

Anthropic

Claude 3.7 Sonnet Max

Claude 3.7 Sonnet Max is a frontier model from Anthropic. It offers a 128,000-token context window, costs $16.88 per million input tokens and $83.20 per million output tokens, and averages 83.7 across the index's benchmark suite.

Input
$16.88 / 1M
Output
$83.20 / 1M
Context
128,000
Avg score
83.7
Open weights
No
Full Claude 3.7 Sonnet Max page
DeepSeek

DeepSeek-V3.2

DeepSeek-V3.2 is a frontier model from DeepSeek. It offers a 1,000,000-token context window, costs $5.88 per million input tokens and $24.70 per million output tokens, and averages 84.0 across the index's benchmark suite.

Input
$5.88 / 1M
Output
$24.70 / 1M
Context
1,000,000
Avg score
84.0
Open weights
Yes
Full DeepSeek-V3.2 page

Specification comparison

SpecClaude 3.7 Sonnet MaxDeepSeek-V3.2Edge
Input price / 1M$16.88$5.88B
Output price / 1M$83.20$24.70B
Context window128,0001,000,000B
Max output32,7688,192A
Average score83.784.0B
Arena Elo1461.61455.6A
Open weightsNoYesB

Benchmark comparison

Claude 3.7 Sonnet Max wins 7, DeepSeek-V3.2 wins 5, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude 3.7 Sonnet MaxDeepSeek-V3.2GapWinner
MMLU-Pro86.086.90.9DeepSeek-V3.2
GPQA Diamond76.879.72.9DeepSeek-V3.2
SWE-bench Verified76.174.41.7Claude 3.7 Sonnet Max
HumanEval90.989.71.2Claude 3.7 Sonnet Max
MATH-50087.289.72.5DeepSeek-V3.2
AIME 202580.779.61.1Claude 3.7 Sonnet Max
LiveCodeBench78.180.42.3DeepSeek-V3.2
IFEval90.089.40.6Claude 3.7 Sonnet Max
TruthfulQA84.784.50.2Claude 3.7 Sonnet Max
HellaSwag91.290.21.0Claude 3.7 Sonnet Max
MMMU78.879.91.1DeepSeek-V3.2
Arena Elo1461.61455.66.0Claude 3.7 Sonnet Max

Price analysis

On a blended 3:1 input-to-output basis, Claude 3.7 Sonnet Max costs about $33.46 per million tokens and DeepSeek-V3.2 costs about $10.59. DeepSeek-V3.2 is roughly 68% cheaper than Claude 3.7 Sonnet Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

DeepSeek-V3.2 has the larger context window at 1,000,000 tokens, compared with 128,000 for Claude 3.7 Sonnet Max. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude 3.7 Sonnet Max wins 7, DeepSeek-V3.2 wins 5, and 0 are tied. On the index average, DeepSeek-V3.2 leads Claude 3.7 Sonnet Max by 0.3 points (84.0 versus 83.7).

The price picture favours DeepSeek-V3.2. The context picture favours DeepSeek-V3.2. 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 DeepSeek-V3.2 for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Claude 3.7 Sonnet Max if

  • You need the larger 32,768-token output limit.

Choose DeepSeek-V3.2 if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 1,000,000-token context window.
  • You need open weights for self-hosting or fine-tuning.

FAQ

Is Claude 3.7 Sonnet Max better than DeepSeek-V3.2?

On the index average, DeepSeek-V3.2 leads Claude 3.7 Sonnet Max by 0.3 points (84.0 versus 83.7). The better choice depends on price, context and your task. Claude 3.7 Sonnet Max wins 7 benchmarks, DeepSeek-V3.2 wins 5.

Which is cheaper, Claude 3.7 Sonnet Max or DeepSeek-V3.2?

DeepSeek-V3.2 is cheaper on a blended 3:1 basis at about $10.59 per million tokens, versus $33.46 for Claude 3.7 Sonnet Max.

Which has the larger context window?

DeepSeek-V3.2 has the larger context window at 1,000,000 tokens. Claude 3.7 Sonnet Max has 128,000 tokens.

Are these models open weights?

Claude 3.7 Sonnet Max is proprietary; DeepSeek-V3.2 is open weights.

Which should I choose for production?

If you need a single default, start with DeepSeek-V3.2 for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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