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Gemini 3.8 Flash vs MAI-Code-1-Flash

Gemini 3.8 Flash leads the LLM Stats Score 51.0 to 29.3.

Google · Microsoft · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 51.0 to 29.3, ranking #15 overall.

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

Choose Gemini 3.8 Flash

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose MAI-Code-1-Flash

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

Gemini 3.8 Flash
Google
MAI-Code-1-Flash
Microsoft
Core performance indexes
LLM Stats Score
51.0
#15
29.3
#122
Reasoning
46.9
#24
29.0
#115
Coding
39.3
#14
19.8
#96
Agents
35.8
#16
10.9
#102
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.75 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 3.8 Flash
MAI-Code-1-Flash
Tool use
26.7#23
10.6#119
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 3.8 Flash · 15 for MAI-Code-1-Flash

No common benchmarks found

Gemini 3.8 Flash and MAI-Code-1-Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 3.8 Flash specifies input context (1,048,576 tokens). Only Gemini 3.8 Flash specifies output context (65,536 tokens).

Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 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

Gemini 3.8 Flash supports multimodal inputs, whereas MAI-Code-1-Flash does not.

Gemini 3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.8 Flash

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.

Gemini 3.8 Flash

Proprietary

Closed source

MAI-Code-1-Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.8 Flash was released on 2026-09-02, while MAI-Code-1-Flash was released on 2026-06-02.

Gemini 3.8 Flash is 3 months newer than MAI-Code-1-Flash.

Gemini 3.8 Flash

Sep 2, 2026

2 days ago

3mo newer
MAI-Code-1-Flash

Jun 2, 2026

3 months ago

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while MAI-Code-1-Flash's cutoff date is not specified.

We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without MAI-Code-1-Flash's cutoff date.

Gemini 3.8 Flash

Mar 2026

MAI-Code-1-Flash

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash and MAI-Code-1-Flash side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
MAI-Code-1-Flash
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs MAI-Code-1-Flash.

Which is better, Gemini 3.8 Flash or MAI-Code-1-Flash?

Gemini 3.8 Flash leads the LLM Stats Score 51.0 to 29.3. Gemini 3.8 Flash is made by Google 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 Gemini 3.8 Flash compare to MAI-Code-1-Flash in benchmarks?

Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%. 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 Gemini 3.8 Flash and MAI-Code-1-Flash?

Gemini 3.8 Flash 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 Gemini 3.8 Flash and MAI-Code-1-Flash?

Key differences include LLM Stats Score (51.0 vs 29.3), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash and MAI-Code-1-Flash?

Gemini 3.8 Flash is developed by Google and MAI-Code-1-Flash is developed by Microsoft.

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