Model Comparison

Gemma 4 26B-A4B vs MiMo-V2-OmniWhich is better in 2026?

Comparing Gemma 4 26B-A4B and MiMo-V2-Omni across benchmarks, pricing, and capabilities.

Verdict: Gemma 4 26B-A4B vs MiMo-V2-Omni — which is better?

Gemma 4 26B-A4B (by Google) and MiMo-V2-Omni (by Xiaomi) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Gemma 4 26B-A4B is roughly 4.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemma 4 26B-A4B also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemma 4 26B-A4B if…

  • cost matters — it's about 4.1x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Apr 2026
  • you need open weights you can self-host or fine-tune

Choose MiMo-V2-Omni if…

  • you want predictable pricing at $0.40/M input and $2.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 4 26B-A4B and MiMo-V2-Omnidon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 4 26B-A4B costs less

For input processing, Gemma 4 26B-A4B ($0.13/1M tokens) is 3.1x cheaper than MiMo-V2-Omni ($0.40/1M tokens).

For output processing, Gemma 4 26B-A4B ($0.40/1M tokens) is 5.0x cheaper than MiMo-V2-Omni ($2.00/1M tokens).

In conclusion, MiMo-V2-Omni is more expensive than Gemma 4 26B-A4B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
Google
Gemma 4 26B-A4B
Input tokens$0.13
Output tokens$0.40
Best providerNovita
Xiaomi
MiMo-V2-Omni
Input tokens$0.40
Output tokens$2.00
Best providerXiaomi
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemma 4 26B-A4B accepts 262,144 input tokens compared to MiMo-V2-Omni's 262,000 tokens. Gemma 4 26B-A4B can generate longer responses up to 131,072 tokens, while MiMo-V2-Omni is limited to 16,384 tokens.

Google
Gemma 4 26B-A4B
Input262,144 tokens
Output131,072 tokens
Xiaomi
MiMo-V2-Omni
Input262,000 tokens
Output16,384 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 4 26B-A4B and MiMo-V2-Omni support multimodal inputs.

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

Gemma 4 26B-A4B

Text
Images
Audio
Video

MiMo-V2-Omni

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 26B-A4B is licensed under Apache 2.0, while MiMo-V2-Omni uses a proprietary license.

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

Gemma 4 26B-A4B

Apache 2.0

Open weights

MiMo-V2-Omni

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 4 26B-A4B was released on 2026-04-02, while MiMo-V2-Omni was released on 2026-03-18.

Gemma 4 26B-A4B is 1 month newer than MiMo-V2-Omni.

Gemma 4 26B-A4B

Apr 2, 2026

3 months ago

2w newer
MiMo-V2-Omni

Mar 18, 2026

4 months ago

Knowledge Cutoff

When training data ends

Gemma 4 26B-A4B has a documented knowledge cutoff of 2025-01-01, while MiMo-V2-Omni's cutoff date is not specified.

We can confirm Gemma 4 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without MiMo-V2-Omni's cutoff date.

Gemma 4 26B-A4B

Jan 2025

MiMo-V2-Omni

Provider Availability

Gemma 4 26B-A4B is available from Novita. MiMo-V2-Omni is available from Xiaomi.

Gemma 4 26B-A4B

novita logo
Novita
Input Price:Input: $0.13/1MOutput Price:Output: $0.40/1M

MiMo-V2-Omni

xiaomi logo
Xiaomi
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 4 26B-A4B and MiMo-V2-Omni side-by-side, then vote on the output you prefer.

Gemma 4 26B-A4B
✓ Preferred
MiMo-V2-Omni
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 4 26B-A4B
Xiaomi
MiMo-V2-Omni

FAQ

Common questions about Gemma 4 26B-A4B vs MiMo-V2-Omni.

Which is better, Gemma 4 26B-A4B or MiMo-V2-Omni?

Gemma 4 26B-A4B (Google) and MiMo-V2-Omni (Xiaomi) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 4 26B-A4B compare to MiMo-V2-Omni in benchmarks?

Gemma 4 26B-A4B scores AIME 2026: 88.3%, MMMLU: 86.3%, t2-bench: 85.5%, MMLU-Pro: 82.6%, MathVision: 82.4%. MiMo-V2-Omni scores PinchBench: 81.2%, SWE-Bench Verified: 74.8%, Claw-Eval: 54.8%, MM-BrowserComp: 52.0%, OmniGAIA: 49.8%.

Is Gemma 4 26B-A4B cheaper than MiMo-V2-Omni?

Gemma 4 26B-A4B is 3.1x cheaper for input tokens. Gemma 4 26B-A4B costs $0.13/M input and $0.40/M output via novita. MiMo-V2-Omni costs $0.40/M input and $2.00/M output via xiaomi.

What are the context window sizes for Gemma 4 26B-A4B and MiMo-V2-Omni?

Gemma 4 26B-A4B supports 262K tokens and MiMo-V2-Omni supports 262K 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 26B-A4B and MiMo-V2-Omni?

Key differences include context window (262K vs 262K), input pricing ($0.13 vs $0.40/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 26B-A4B and MiMo-V2-Omni?

Gemma 4 26B-A4B is developed by Google and MiMo-V2-Omni is developed by Xiaomi.