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Gemma 4 E2B vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 6.7.

Google · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to 6.7, ranking #29 overall.

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

Choose Gemma 4 E2B

  • you are already invested in the Google ecosystem

Choose MiMo-V2.6-Flash

  • overall performance matters — it scores 45.6 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 Sep 2026

At a glance

The differences that matter most.

Gemma 4 E2B
Google
MiMo-V2.6-Flash
Xiaomi
Core performance indexes
LLM Stats Score
6.7
#294
45.6
#29
Reasoning
5.6
#295
42.5
#45
Agents
-3.6
#182
33.1
#26
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.14 / M
Output price
— / M
$0.28 / M
Context window
—
1,048,576

Individual benchmarks

11 reported for Gemma 4 E2B · 16 for MiMo-V2.6-Flash

No common benchmarks found

Gemma 4 E2B and MiMo-V2.6-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

Model Size

Parameter count comparison

303.9B diff

MiMo-V2.6-Flash has 303.9B more parameters than Gemma 4 E2B, making it 5958.8% larger.

Google
Gemma 4 E2B
5.1Bparameters
Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
5.1B
Gemma 4 E2B
309.0B
MiMo-V2.6-Flash

Context Window

Maximum input and output token capacity

Only MiMo-V2.6-Flash specifies input context (1,048,576 tokens).

Google
Gemma 4 E2B
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.6-Flash
Input1,048,576 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 4 E2B and MiMo-V2.6-Flash support multimodal inputs.

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

Gemma 4 E2B

Text
Images
Audio
Video

MiMo-V2.6-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 E2B is licensed under Apache 2.0, while MiMo-V2.6-Flash uses MIT.

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

Gemma 4 E2B

Apache 2.0

Open weights

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemma 4 E2B was released on 2026-04-02, while MiMo-V2.6-Flash was released on 2026-09-22.

MiMo-V2.6-Flash is 6 months newer than Gemma 4 E2B.

Gemma 4 E2B

Apr 2, 2026

5 months ago

MiMo-V2.6-Flash

Sep 22, 2026

0 days ago

5mo newer

Knowledge Cutoff

When training data ends

Gemma 4 E2B has a documented knowledge cutoff of 2025-01-01, while MiMo-V2.6-Flash's cutoff date is not specified.

We can confirm Gemma 4 E2B's training data extends to 2025-01-01, but cannot make a direct comparison without MiMo-V2.6-Flash's cutoff date.

Gemma 4 E2B

Jan 2025

MiMo-V2.6-Flash

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 4 E2B and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

Gemma 4 E2B
✓ Preferred
MiMo-V2.6-Flash
Open in Playground

FAQ

Common questions about Gemma 4 E2B vs MiMo-V2.6-Flash.

Which is better, Gemma 4 E2B or MiMo-V2.6-Flash?

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 6.7. Gemma 4 E2B is made by Google and MiMo-V2.6-Flash is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 4 E2B compare to MiMo-V2.6-Flash in benchmarks?

Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%. MiMo-V2.6-Flash scores CyberGym: 95.1%, Terminal-Bench 2.1: 87.6%, OSWorld-Verified: 80.8%, MiMo Cyber Bench: 77.2%, Toolathlon-Verified: 73.6%.

What are the context window sizes for Gemma 4 E2B and MiMo-V2.6-Flash?

Gemma 4 E2B supports an unknown number of tokens and MiMo-V2.6-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 Gemma 4 E2B and MiMo-V2.6-Flash?

Key differences include LLM Stats Score (6.7 vs 45.6), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 E2B and MiMo-V2.6-Flash?

Gemma 4 E2B is developed by Google and MiMo-V2.6-Flash is developed by Xiaomi.

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