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DeepSeek-V4.1-Flash-1017 vs MAI-Code-1-Flash

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 28.6.

DeepSeek · Microsoft · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.2 to 28.6, ranking #15 overall.

In the 1 individual benchmarks reported for both models, DeepSeek-V4.1-Flash-1017 wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose DeepSeek-V4.1-Flash-1017

  • overall performance matters — it scores 51.2 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose MAI-Code-1-Flash

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
MAI-Code-1-Flash
Microsoft
Core performance indexes
LLM Stats Score
51.2
#15
28.6
#155
Reasoning
48.8
#18
28.2
#152
Coding
39.3
#14
19.0
#128
Agents
38.7
#8
11.1
#134
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4.1-Flash-1017
MAI-Code-1-Flash
Math
31.8#69
20.9#162
Tool use
31.3#6
10.1#144
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 15 for MAI-Code-1-Flash

1 shared

DeepSeek-V4.1-Flash-1017 outperforms in 1 benchmarks (Humanity's Last Exam), while MAI-Code-1-Flash is better at 0 benchmarks.

DeepSeek-V4.1-Flash-1017 significantly outperforms across most benchmarks.

Sat Oct 24 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash-1017 specifies input context (1,048,576 tokens). Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Microsoft
MAI-Code-1-Flash
Input- tokens
Output- tokens
Sat Oct 24 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas MAI-Code-1-Flash does not.

DeepSeek-V4.1-Flash-1017 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

MAI-Code-1-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017

MIT

Open weights

MAI-Code-1-Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while MAI-Code-1-Flash was released on 2026-06-02.

DeepSeek-V4.1-Flash-1017 is 5 months newer than MAI-Code-1-Flash.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

3 days ago

4mo newer
MAI-Code-1-Flash

Jun 2, 2026

4 months 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and MAI-Code-1-Flash side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
MAI-Code-1-Flash
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs MAI-Code-1-Flash.

Which is better, DeepSeek-V4.1-Flash-1017 or MAI-Code-1-Flash?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 28.6. DeepSeek-V4.1-Flash-1017 is made by DeepSeek 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 DeepSeek-V4.1-Flash-1017 compare to MAI-Code-1-Flash in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. 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-V4.1-Flash-1017 and MAI-Code-1-Flash?

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017 and MAI-Code-1-Flash?

Key differences include LLM Stats Score (51.2 vs 28.6), multimodal support (yes vs no), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and MAI-Code-1-Flash?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and MAI-Code-1-Flash is developed by Microsoft.

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