Model Comparison

DeepSeek-V4-Flash-Max vs MAI-Code-1-FlashWhich is better in 2026?

DeepSeek-V4-Flash-Max significantly outperforms across most benchmarks.

Verdict: DeepSeek-V4-Flash-Max vs MAI-Code-1-Flash — which is better?

DeepSeek-V4-Flash-Max (by DeepSeek) and MAI-Code-1-Flash (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-V4-Flash-Max outperforms in 6 benchmarks (GPQA, Humanity's Last Exam, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0), while MAI-Code-1-Flash is better at 0 benchmarks. DeepSeek-V4-Flash-Max significantly outperforms across most benchmarks.

Choose DeepSeek-V4-Flash-Max if…

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
  • you need open weights you can self-host or fine-tune

Choose MAI-Code-1-Flash if…

  • you want the most recent training data — it shipped Jun 2026

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

DeepSeek-V4-Flash-Max outperforms in 6 benchmarks (GPQA, Humanity's Last Exam, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0), while MAI-Code-1-Flash is better at 0 benchmarks.

DeepSeek-V4-Flash-Max significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Flash-Max specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-Max specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V4-Flash-Max
Input1,048,576 tokens
Output65,536 tokens
Microsoft
MAI-Code-1-Flash
Input- tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Flash-Max is licensed under MIT, while MAI-Code-1-Flash uses a proprietary license.

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

DeepSeek-V4-Flash-Max

MIT

Open weights

MAI-Code-1-Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Max was released on 2026-04-23, while MAI-Code-1-Flash was released on 2026-06-02.

MAI-Code-1-Flash is 1 month newer than DeepSeek-V4-Flash-Max.

DeepSeek-V4-Flash-Max

Apr 23, 2026

2 months ago

MAI-Code-1-Flash

Jun 2, 2026

1 months ago

1mo 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

DeepSeek
Larger context window (1,048,576 tokens)
Has open weights
Higher GPQA score (88.1% vs 84.6%)
Higher Humanity's Last Exam score (45.1% vs 18.0%)
Higher SWE-bench Multilingual score (73.3% vs 65.5%)
Higher SWE-Bench Pro score (52.6% vs 51.2%)
Higher SWE-Bench Verified score (79.0% vs 71.6%)
Higher Terminal-Bench 2.0 score (56.9% vs 54.8%)
Microsoft

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-Max and MAI-Code-1-Flash side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Max
✓ Preferred
MAI-Code-1-Flash
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V4-Flash-Max
Microsoft
MAI-Code-1-Flash

FAQ

Common questions about DeepSeek-V4-Flash-Max vs MAI-Code-1-Flash.

Which is better, DeepSeek-V4-Flash-Max or MAI-Code-1-Flash?

DeepSeek-V4-Flash-Max significantly outperforms across most benchmarks. DeepSeek-V4-Flash-Max is made by DeepSeek and MAI-Code-1-Flash is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V4-Flash-Max compare to MAI-Code-1-Flash in benchmarks?

DeepSeek-V4-Flash-Max scores CodeForces: 100.0%, HMMT Feb 26: 94.8%, LiveCodeBench: 91.6%, IMO-AnswerBench: 88.4%, GPQA: 88.1%. 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 DeepSeek-V4-Flash-Max and MAI-Code-1-Flash?

DeepSeek-V4-Flash-Max supports 1.0M 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 DeepSeek-V4-Flash-Max and MAI-Code-1-Flash?

Key differences include licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Max and MAI-Code-1-Flash?

DeepSeek-V4-Flash-Max is developed by DeepSeek and MAI-Code-1-Flash is developed by Microsoft.

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