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Gemini 2.5 Pro vs MAI-Code-1-Flash

Gemini 2.5 Pro and MAI-Code-1-Flash are closely matched at 27.8 and 29.3 on the LLM Stats Score.

Google · Microsoft · Updated for 2026

Which is better?

Gemini 2.5 Pro and MAI-Code-1-Flash are closely matched on the overall LLM Stats Score at 27.8 and 29.3.

In the 3 individual benchmarks reported for both models, MAI-Code-1-Flash wins 3; 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 Gemini 2.5 Pro

  • you want predictable pricing at $1.25/M input and $10.00/M output

Choose MAI-Code-1-Flash

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Jun 2026

At a glance

The differences that matter most.

Gemini 2.5 Pro
Google
MAI-Code-1-Flash
Microsoft
Core performance indexes
LLM Stats Score
27.8
#130
29.3
#122
Reasoning
27.2
#130
29.0
#115
Coding
13.1
#131
19.8
#96
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$1.25 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 2.5 Pro
MAI-Code-1-Flash
Math
22.6#129
21.6#139
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemini 2.5 Pro · 15 for MAI-Code-1-Flash

3 shared

Gemini 2.5 Pro outperforms in 0 benchmarks, while MAI-Code-1-Flash is better at 3 benchmarks (GPQA, Humanity's Last Exam, SWE-Bench Verified).

MAI-Code-1-Flash significantly outperforms across most 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 Gemini 2.5 Pro specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro specifies output context (65,536 tokens).

Google
Gemini 2.5 Pro
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 2.5 Pro supports multimodal inputs, whereas MAI-Code-1-Flash does not.

Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro

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 2.5 Pro

Proprietary

Closed source

MAI-Code-1-Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while MAI-Code-1-Flash was released on 2026-06-02.

MAI-Code-1-Flash is 13 months newer than Gemini 2.5 Pro.

Gemini 2.5 Pro

May 20, 2025

1.3 years ago

MAI-Code-1-Flash

Jun 2, 2026

3 months ago

1.0yr newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while MAI-Code-1-Flash's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without MAI-Code-1-Flash's cutoff date.

Gemini 2.5 Pro

Jan 2025

MAI-Code-1-Flash

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.5 Pro and MAI-Code-1-Flash side-by-side, then vote on the output you prefer.

Gemini 2.5 Pro
✓ Preferred
MAI-Code-1-Flash
Open in Playground

FAQ

Common questions about Gemini 2.5 Pro vs MAI-Code-1-Flash.

Which is better, Gemini 2.5 Pro or MAI-Code-1-Flash?

Gemini 2.5 Pro and MAI-Code-1-Flash are closely matched on the LLM Stats Score at 27.8 and 29.3. Gemini 2.5 Pro 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 2.5 Pro compare to MAI-Code-1-Flash in benchmarks?

Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. 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 2.5 Pro and MAI-Code-1-Flash?

Gemini 2.5 Pro 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 2.5 Pro and MAI-Code-1-Flash?

Key differences include LLM Stats Score (27.8 vs 29.3), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Pro and MAI-Code-1-Flash?

Gemini 2.5 Pro is developed by Google and MAI-Code-1-Flash is developed by Microsoft.

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