Model Comparison

Claude 3.7 Sonnet vs DeepSeek-V3.1

Claude 3.7 Sonnet significantly outperforms across most benchmarks. DeepSeek-V3.1 is 13.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Claude 3.7 Sonnet outperforms in 5 benchmarks (AIME 2024, AIME 2025, GPQA, SWE-Bench Verified, Terminal-Bench), while DeepSeek-V3.1 is better at 0 benchmarks.

Claude 3.7 Sonnet significantly outperforms across most benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.1 costs less

For input processing, Claude 3.7 Sonnet ($3.00/1M tokens) is 11.1x more expensive than DeepSeek-V3.1 ($0.27/1M tokens).

For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 15.0x more expensive than DeepSeek-V3.1 ($1.00/1M tokens).

In conclusion, Claude 3.7 Sonnet is more expensive than DeepSeek-V3.1.*

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

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
Anthropic
Claude 3.7 Sonnet
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Claude 3.7 Sonnet accepts 200,000 input tokens compared to DeepSeek-V3.1's 163,840 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 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-V3.1
Input163,840 tokens
Output163,840 tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3.7 Sonnet supports multimodal inputs, whereas DeepSeek-V3.1 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-V3.1

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.7 Sonnet is licensed under a proprietary license, while DeepSeek-V3.1 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-V3.1

MIT

Open weights

Release Timeline

When each model was launched

Claude 3.7 Sonnet was released on 2025-02-24, while DeepSeek-V3.1 was released on 2025-01-10.

Claude 3.7 Sonnet is 2 months newer than DeepSeek-V3.1.

Claude 3.7 Sonnet

Feb 24, 2025

1.2 years ago

1mo newer
DeepSeek-V3.1

Jan 10, 2025

1.3 years ago

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-V3.1 is available from DeepInfra, Novita.

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-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher AIME 2024 score (80.0% vs 66.3%)
Higher AIME 2025 score (54.8% vs 49.8%)
Higher GPQA score (84.8% vs 74.9%)
Higher SWE-Bench Verified score (70.3% vs 66.0%)
Higher Terminal-Bench score (35.2% vs 31.3%)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
AnthropicClaude 3.7 Sonnet
DeepSeekDeepSeek-V3.1
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Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.7 Sonnet
DeepSeek
DeepSeek-V3.1

FAQ

Common questions about Claude 3.7 Sonnet vs DeepSeek-V3.1

Claude 3.7 Sonnet significantly outperforms across most benchmarks. Claude 3.7 Sonnet is made by Anthropic and DeepSeek-V3.1 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%. DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%.
DeepSeek-V3.1 is 11.1x cheaper for input tokens. Claude 3.7 Sonnet costs $3.00/M input and $15.00/M output via anthropic. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra.
Claude 3.7 Sonnet supports 200K tokens and DeepSeek-V3.1 supports 164K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 164K), input pricing ($3.00 vs $0.27/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Claude 3.7 Sonnet is developed by Anthropic and DeepSeek-V3.1 is developed by DeepSeek.