Model Comparison

Claude 3.7 Sonnet vs MiniMax M1 40K

Claude 3.7 Sonnet has a slight edge in benchmark performance.

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Claude 3.7 Sonnet outperforms in 4 benchmarks (GPQA, MATH-500, SWE-Bench Verified, TAU-bench Retail), while MiniMax M1 40K is better at 3 benchmarks (AIME 2024, AIME 2025, TAU-bench Airline).

Claude 3.7 Sonnet has a slight edge in benchmark performance.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude 3.7 Sonnet specifies input context (200,000 tokens). Only Claude 3.7 Sonnet specifies output context (128,000 tokens).

Anthropic
Claude 3.7 Sonnet
Input200,000 tokens
Output128,000 tokens
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3.7 Sonnet supports multimodal inputs, whereas MiniMax M1 40K 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

MiniMax M1 40K

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.7 Sonnet is licensed under a proprietary license, while MiniMax M1 40K 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

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

Claude 3.7 Sonnet was released on 2025-02-24, while MiniMax M1 40K was released on 2025-06-16.

MiniMax M1 40K is 4 months newer than Claude 3.7 Sonnet.

Claude 3.7 Sonnet

Feb 24, 2025

1.2 years ago

MiniMax M1 40K

Jun 16, 2025

10 months ago

3mo 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (200,000 tokens)
Supports multimodal inputs
Higher GPQA score (84.8% vs 69.2%)
Higher MATH-500 score (96.2% vs 96.0%)
Higher SWE-Bench Verified score (70.3% vs 55.6%)
Higher TAU-bench Retail score (81.2% vs 67.8%)
Has open weights
Higher AIME 2024 score (83.3% vs 80.0%)
Higher AIME 2025 score (74.6% vs 54.8%)
Higher TAU-bench Airline score (60.0% vs 58.4%)
AnthropicClaude 3.7 Sonnet
MiniMaxMiniMax M1 40K

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.7 Sonnet
MiniMax
MiniMax M1 40K

FAQ

Common questions about Claude 3.7 Sonnet vs MiniMax M1 40K.

Which is better, Claude 3.7 Sonnet or MiniMax M1 40K?

Claude 3.7 Sonnet has a slight edge in benchmark performance. Claude 3.7 Sonnet is made by Anthropic and MiniMax M1 40K is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude 3.7 Sonnet compare to MiniMax M1 40K 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%. MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%.

What are the context window sizes for Claude 3.7 Sonnet and MiniMax M1 40K?

Claude 3.7 Sonnet supports 200K tokens and MiniMax M1 40K supports an unknown number of 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 MiniMax M1 40K?

Key differences include 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 MiniMax M1 40K?

Claude 3.7 Sonnet is developed by Anthropic and MiniMax M1 40K is developed by MiniMax.