The AI arena is free today

Open Superagent

DiffusionGemma 26B-A4B vs MiniMax M3.1 Flash

MiniMax M3.1 Flash leads the LLM Stats Score 48.7 to 19.0.

Google · MiniMax · Updated for 2026

Which is better?

MiniMax M3.1 Flash leads the overall LLM Stats Score 48.7 to 19.0, ranking #29 overall.

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

Choose DiffusionGemma 26B-A4B

  • you need open weights you can self-host or fine-tune

Choose MiniMax M3.1 Flash

  • overall performance matters — it scores 48.7 and ranks #29 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DiffusionGemma 26B-A4B
Google
MiniMax M3.1 Flash
MiniMax
Core performance indexes
LLM Stats Score
19.0
#230
48.7
#29
Reasoning
18.7
#228
45.9
#32
Agents
0.4
#197
35.7
#22
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.15 / M
Output price
— / M
$0.60 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DiffusionGemma 26B-A4B
MiniMax M3.1 Flash
Vision
10.4#137
28.9#42
Multimodal
14.6#111
30.2#38
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DiffusionGemma 26B-A4B · 15 for MiniMax M3.1 Flash

No common benchmarks found

DiffusionGemma 26B-A4B and MiniMax M3.1 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 MiniMax M3.1 Flash specifies input context (1,000,000 tokens). Only MiniMax M3.1 Flash specifies output context (524,288 tokens).

Google
DiffusionGemma 26B-A4B
Input- tokens
Output- tokens
MiniMax
MiniMax M3.1 Flash
Input1,000,000 tokens
Output524,288 tokens
Mon Oct 26 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DiffusionGemma 26B-A4B and MiniMax M3.1 Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DiffusionGemma 26B-A4B

Text
Images
Audio
Video

MiniMax M3.1 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DiffusionGemma 26B-A4B is licensed under Apache 2.0, while MiniMax M3.1 Flash uses a proprietary license.

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

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

MiniMax M3.1 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DiffusionGemma 26B-A4B was released on 2026-06-10, while MiniMax M3.1 Flash was released on 2026-10-19.

MiniMax M3.1 Flash is 4 months newer than DiffusionGemma 26B-A4B.

DiffusionGemma 26B-A4B

Jun 10, 2026

4 months ago

MiniMax M3.1 Flash

Oct 19, 2026

6 days ago

4mo newer

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while MiniMax M3.1 Flash's cutoff date is not specified.

We can confirm DiffusionGemma 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without MiniMax M3.1 Flash's cutoff date.

DiffusionGemma 26B-A4B

Jan 2025

MiniMax M3.1 Flash

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DiffusionGemma 26B-A4B and MiniMax M3.1 Flash side-by-side, then vote on the output you prefer.

DiffusionGemma 26B-A4B
✓ Preferred
MiniMax M3.1 Flash
Open in Playground

FAQ

Common questions about DiffusionGemma 26B-A4B vs MiniMax M3.1 Flash.

Which is better, DiffusionGemma 26B-A4B or MiniMax M3.1 Flash?

MiniMax M3.1 Flash leads the LLM Stats Score 48.7 to 19.0. DiffusionGemma 26B-A4B is made by Google and MiniMax M3.1 Flash is made by MiniMax. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DiffusionGemma 26B-A4B compare to MiniMax M3.1 Flash in benchmarks?

DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%. MiniMax M3.1 Flash scores BabyVision: 91.0%, CharXiv-R: 82.5%, CyberGym: 82.2%, BankerToolBench: 76.2%, DeepSWE 1.1: 73.7%.

What are the context window sizes for DiffusionGemma 26B-A4B and MiniMax M3.1 Flash?

DiffusionGemma 26B-A4B supports an unknown number of tokens and MiniMax M3.1 Flash supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DiffusionGemma 26B-A4B and MiniMax M3.1 Flash?

Key differences include LLM Stats Score (19.0 vs 48.7), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DiffusionGemma 26B-A4B and MiniMax M3.1 Flash?

DiffusionGemma 26B-A4B is developed by Google and MiniMax M3.1 Flash is developed by MiniMax.

Related comparisons