Model Comparison

MiMo-V2.5 vs MiMo-V2-OmniWhich is better in 2026?

MiMo-V2.5 significantly outperforms across most benchmarks. MiMo-V2.5 is 3.8x cheaper per token.

Verdict: MiMo-V2.5 vs MiMo-V2-Omni — which is better?

MiMo-V2.5 (by Xiaomi) 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.

MiMo-V2.5 outperforms in 1 benchmarks (Claw-Eval), while MiMo-V2-Omni is better at 0 benchmarks. MiMo-V2.5 significantly outperforms across most benchmarks.

On price, MiMo-V2.5 is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2.5 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose MiMo-V2.5 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 3.8x cheaper per token
  • you process long inputs — it offers a 1,048,576 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

1 benchmarks

MiMo-V2.5 outperforms in 1 benchmarks (Claw-Eval), while MiMo-V2-Omni is better at 0 benchmarks.

MiMo-V2.5 significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiMo-V2.5 costs less

For input processing, MiMo-V2.5 ($0.17/1M tokens) is 2.4x cheaper than MiMo-V2-Omni ($0.40/1M tokens).

For output processing, MiMo-V2.5 ($0.34/1M tokens) is 6.0x cheaper than MiMo-V2-Omni ($2.00/1M tokens).

In conclusion, MiMo-V2-Omni is more expensive than MiMo-V2.5.*

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

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
Xiaomi
MiMo-V2.5
Input tokens$0.17
Output tokens$0.34
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

MiMo-V2.5 accepts 1,048,576 input tokens compared to MiMo-V2-Omni's 262,000 tokens. MiMo-V2.5 can generate longer responses up to 131,072 tokens, while MiMo-V2-Omni is limited to 16,384 tokens.

Xiaomi
MiMo-V2.5
Input1,048,576 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 MiMo-V2.5 and MiMo-V2-Omni support multimodal inputs.

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

MiMo-V2.5

Text
Images
Audio
Video

MiMo-V2-Omni

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.5 is licensed under MIT, while MiMo-V2-Omni uses a proprietary license.

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

MiMo-V2.5

MIT

Open weights

MiMo-V2-Omni

Proprietary

Closed source

Release Timeline

When each model was launched

MiMo-V2.5 was released on 2026-04-22, while MiMo-V2-Omni was released on 2026-03-18.

MiMo-V2.5 is 1 month newer than MiMo-V2-Omni.

MiMo-V2.5

Apr 22, 2026

2 months ago

1mo newer
MiMo-V2-Omni

Mar 18, 2026

4 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

MiMo-V2.5 is available from Novita, DeepInfra. MiMo-V2-Omni is available from Xiaomi.

MiMo-V2.5

novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.34/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M

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

Xiaomi
Larger context window (1,048,576 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Claw-Eval score (63.2% vs 54.8%)
Xiaomi

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

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiMo-V2.5 and MiMo-V2-Omni side-by-side, then vote on the output you prefer.

MiMo-V2.5
✓ Preferred
MiMo-V2-Omni
Open in Playground
AI Model Comparison Table
Feature
Xiaomi
MiMo-V2.5
Xiaomi
MiMo-V2-Omni

FAQ

Common questions about MiMo-V2.5 vs MiMo-V2-Omni.

Which is better, MiMo-V2.5 or MiMo-V2-Omni?

MiMo-V2.5 significantly outperforms across most benchmarks. MiMo-V2.5 is made by Xiaomi and MiMo-V2-Omni is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does MiMo-V2.5 compare to MiMo-V2-Omni in benchmarks?

MiMo-V2.5 scores HR-Bench (4k): 88.5%, Video-MME: 87.7%, OmniDocBench: 87.2%, GraphWalks: 87.0%, DailyOmni: 83.5%. MiMo-V2-Omni scores PinchBench: 81.2%, SWE-Bench Verified: 74.8%, Claw-Eval: 54.8%, MM-BrowserComp: 52.0%, OmniGAIA: 49.8%.

Is MiMo-V2.5 cheaper than MiMo-V2-Omni?

MiMo-V2.5 is 2.4x cheaper for input tokens. MiMo-V2.5 costs $0.17/M input and $0.34/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 MiMo-V2.5 and MiMo-V2-Omni?

MiMo-V2.5 supports 1.0M 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 MiMo-V2.5 and MiMo-V2-Omni?

Key differences include context window (1.0M vs 262K), input pricing ($0.17 vs $0.40/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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