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Claude 3.7 Sonnet vs DeepSeek-V4-Flash-0731

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to 23.9. DeepSeek-V4-Flash-0731 is 66.7x cheaper per token.

Anthropic · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 44.7 to 23.9, ranking #35 overall.

On price, DeepSeek-V4-Flash-0731 is roughly 66.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Flash-0731 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Claude 3.7 Sonnet

  • you want predictable pricing at $3.00/M input and $15.00/M output

Choose DeepSeek-V4-Flash-0731

  • overall performance matters — it scores 44.7 and ranks #35 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 66.7x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude 3.7 Sonnet
Anthropic
DeepSeek-V4-Flash-0731
DeepSeek
Core performance indexes
LLM Stats Score
23.9
#168
44.7
#35
Reasoning
23.1
#164
42.3
#45
Coding
13.7
#135
33.0
#36
Agents
5.0
#147
31.2
#30
Cost, coverage & limits
Benchmark wins
—
—
Input price
$3.00 / M
$0.06 / M
Output price
$15.00 / M
$0.18 / M
Context window
200,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude 3.7 Sonnet
DeepSeek-V4-Flash-0731
Tool use
17.9#70
25.9#30
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Claude 3.7 Sonnet · 9 for DeepSeek-V4-Flash-0731

No common benchmarks found

Claude 3.7 Sonnet and DeepSeek-V4-Flash-0731don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4-Flash-0731 costs less

For input processing, Claude 3.7 Sonnet ($3.00/1M tokens) is 50.0x more expensive than DeepSeek-V4-Flash-0731 ($0.06/1M tokens).

For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 83.3x more expensive than DeepSeek-V4-Flash-0731 ($0.18/1M tokens).

In conclusion, Claude 3.7 Sonnet is more expensive than DeepSeek-V4-Flash-0731.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Sep 12 2026 • llm-stats.com
Anthropic
Claude 3.7 Sonnet
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
DeepSeek
DeepSeek-V4-Flash-0731
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Claude 3.7 Sonnet's 200,000 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 tokens, while Claude 3.7 Sonnet is limited to 128,000 tokens.

Anthropic
Claude 3.7 Sonnet
Input200,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output1,048,576 tokens
Sat Sep 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude 3.7 Sonnet supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.

Claude 3.7 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3.7 Sonnet

Text
Images
Audio
Video

DeepSeek-V4-Flash-0731

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.7 Sonnet is licensed under a proprietary license, while DeepSeek-V4-Flash-0731 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Claude 3.7 Sonnet

Proprietary

Closed source

DeepSeek-V4-Flash-0731

MIT

Open weights

Release Timeline

When each model was launched

Claude 3.7 Sonnet was released on 2025-02-24, while DeepSeek-V4-Flash-0731 was released on 2026-07-31.

DeepSeek-V4-Flash-0731 is 17 months newer than Claude 3.7 Sonnet.

Claude 3.7 Sonnet

Feb 24, 2025

1.5 years ago

DeepSeek-V4-Flash-0731

Jul 31, 2026

1 months ago

1.4yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google. DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks.

Claude 3.7 Sonnet

anthropic logo
Anthropic
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
google logo
Google
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

DeepSeek-V4-Flash-0731

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M
novita logo
Novita
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
fireworks logo
Fireworks
Input Price:Input: $0.44/1MOutput Price:Output: $1.32/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Claude 3.7 Sonnet and DeepSeek-V4-Flash-0731 side-by-side, then vote on the output you prefer.

Claude 3.7 Sonnet
✓ Preferred
DeepSeek-V4-Flash-0731
Open in Playground

FAQ

Common questions about Claude 3.7 Sonnet vs DeepSeek-V4-Flash-0731.

Which is better, Claude 3.7 Sonnet or DeepSeek-V4-Flash-0731?

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to 23.9. Claude 3.7 Sonnet is made by Anthropic and DeepSeek-V4-Flash-0731 is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude 3.7 Sonnet compare to DeepSeek-V4-Flash-0731 in benchmarks?

Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%. DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%.

Is Claude 3.7 Sonnet cheaper than DeepSeek-V4-Flash-0731?

DeepSeek-V4-Flash-0731 is 50.0x cheaper for input tokens. Claude 3.7 Sonnet costs $3.00/M input and $15.00/M output via anthropic. DeepSeek-V4-Flash-0731 costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for Claude 3.7 Sonnet and DeepSeek-V4-Flash-0731?

Claude 3.7 Sonnet supports 200K tokens and DeepSeek-V4-Flash-0731 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude 3.7 Sonnet and DeepSeek-V4-Flash-0731?

Key differences include LLM Stats Score (23.9 vs 44.7), context window (200K vs 1.0M), input pricing ($3.00 vs $0.06/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.7 Sonnet and DeepSeek-V4-Flash-0731?

Claude 3.7 Sonnet is developed by Anthropic and DeepSeek-V4-Flash-0731 is developed by DeepSeek.

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