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Claude 3.7 Sonnet vs MAI-Code-1-Flash

MAI-Code-1-Flash leads the LLM Stats Score 29.3 to 24.1.

Anthropic · Microsoft · Updated for 2026

Which is better?

MAI-Code-1-Flash leads the overall LLM Stats Score 29.3 to 24.1, ranking #122 overall.

The models split the 2 individual benchmarks reported for both models evenly.

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 MAI-Code-1-Flash

  • overall performance matters — it scores 29.3 and ranks #122 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jun 2026

At a glance

The differences that matter most.

Claude 3.7 Sonnet
Anthropic
MAI-Code-1-Flash
Microsoft
Core performance indexes
LLM Stats Score
24.1
#160
29.3
#122
Reasoning
23.2
#156
29.0
#115
Coding
14.0
#128
19.8
#96
Agents
5.0
#140
10.9
#102
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
200,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Claude 3.7 Sonnet
MAI-Code-1-Flash
Math
16.7#195
21.6#139
Tool use
18.1#67
10.6#119
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Claude 3.7 Sonnet · 15 for MAI-Code-1-Flash

2 shared

Claude 3.7 Sonnet outperforms in 1 benchmarks (GPQA), while MAI-Code-1-Flash is better at 1 benchmark (SWE-Bench Verified).

Both models are evenly matched across the benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Microsoft
MAI-Code-1-Flash
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude 3.7 Sonnet supports multimodal inputs, whereas MAI-Code-1-Flash 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

MAI-Code-1-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Claude 3.7 Sonnet

Proprietary

Closed source

MAI-Code-1-Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Claude 3.7 Sonnet was released on 2025-02-24, while MAI-Code-1-Flash was released on 2026-06-02.

MAI-Code-1-Flash is 15 months newer than Claude 3.7 Sonnet.

Claude 3.7 Sonnet

Feb 24, 2025

1.5 years ago

MAI-Code-1-Flash

Jun 2, 2026

3 months ago

1.3yr 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→

Judge for yourself.

Run your own prompts against Claude 3.7 Sonnet and MAI-Code-1-Flash side-by-side, then vote on the output you prefer.

Claude 3.7 Sonnet
✓ Preferred
MAI-Code-1-Flash
Open in Playground

FAQ

Common questions about Claude 3.7 Sonnet vs MAI-Code-1-Flash.

Which is better, Claude 3.7 Sonnet or MAI-Code-1-Flash?

MAI-Code-1-Flash leads the LLM Stats Score 29.3 to 24.1. Claude 3.7 Sonnet is made by Anthropic and MAI-Code-1-Flash is made by Microsoft. 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 MAI-Code-1-Flash 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%. MAI-Code-1-Flash scores AIME 2026: 92.5%, GPQA: 84.6%, IFBench: 75.0%, Tau2 Telecom: 71.7%, SWE-Bench Verified: 71.6%.

What are the context window sizes for Claude 3.7 Sonnet and MAI-Code-1-Flash?

Claude 3.7 Sonnet supports 200K tokens and MAI-Code-1-Flash 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 MAI-Code-1-Flash?

Key differences include LLM Stats Score (24.1 vs 29.3), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.7 Sonnet and MAI-Code-1-Flash?

Claude 3.7 Sonnet is developed by Anthropic and MAI-Code-1-Flash is developed by Microsoft.

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