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MiMo-V2-Omni vs Muse Wonder

Muse Wonder leads the LLM Stats Score 47.9 to 27.4. MiMo-V2-Omni is 10.0x cheaper per token.

Xiaomi · Meta · Updated for 2026

Which is better?

Muse Wonder leads the overall LLM Stats Score 47.9 to 27.4, ranking #29 overall.

On price, MiMo-V2-Omni is roughly 10.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

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

Choose MiMo-V2-Omni

  • cost matters — it's about 10.0x cheaper per token

Choose Muse Wonder

  • overall performance matters — it scores 47.9 and ranks #29 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

MiMo-V2-Omni
Xiaomi
Muse Wonder
Meta
Core performance indexes
LLM Stats Score
27.4
#158
47.9
#29
Reasoning
26.6
#160
33.1
#109
Coding
20.1
#111
38.9
#18
Agents
9.0
#144
34.1
#24
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.40 / M
$4.00 / M
Output price
$2.00 / M
$20.00 / M
Context window
262,000
1,048,576

Individual benchmarks

5 reported for MiMo-V2-Omni · 16 for Muse Wonder

No common benchmarks found

MiMo-V2-Omni and Muse Wonderdon'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

Pricing Analysis

Price comparison per million tokens

MiMo-V2-Omni costs less

For input processing, MiMo-V2-Omni ($0.40/1M tokens) is 10.0x cheaper than Muse Wonder ($4.00/1M tokens).

For output processing, MiMo-V2-Omni ($2.00/1M tokens) is 10.0x cheaper than Muse Wonder ($20.00/1M tokens).

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

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

Lowest available price from all providers
Fri Oct 16 2026 • llm-stats.com
Xiaomi
MiMo-V2-Omni
Input tokens$0.40
Output tokens$2.00
Best providerXiaomi
Meta
Muse Wonder
Input tokens$4.00
Output tokens$20.00
Best providerMeta
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Muse Wonder accepts 1,048,576 input tokens compared to MiMo-V2-Omni's 262,000 tokens. Only MiMo-V2-Omni specifies output context (16,384 tokens).

Xiaomi
MiMo-V2-Omni
Input262,000 tokens
Output16,384 tokens
Meta
Muse Wonder
Input1,048,576 tokens
Output- tokens
Fri Oct 16 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both MiMo-V2-Omni and Muse Wonder support multimodal inputs.

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

MiMo-V2-Omni

Text
Images
Audio
Video

Muse Wonder

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.

MiMo-V2-Omni

Proprietary

Closed source

Muse Wonder

Proprietary

Closed source

Release Timeline

When each model was launched

MiMo-V2-Omni was released on 2026-03-18, while Muse Wonder was released on 2026-10-12.

Muse Wonder is 7 months newer than MiMo-V2-Omni.

MiMo-V2-Omni

Mar 18, 2026

7 months ago

Muse Wonder

Oct 12, 2026

4 days ago

6mo newer

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-Omni is available from Xiaomi. Muse Wonder is available from Meta Model API.

MiMo-V2-Omni

xiaomi logo
Xiaomi
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M

Muse Wonder

meta logo
Meta
Input Price:Input: $4.00/1MOutput Price:Output: $20.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

MiMo-V2-Omni
✓ Preferred
Muse Wonder
Open in Playground

FAQ

Common questions about MiMo-V2-Omni vs Muse Wonder.

Which is better, MiMo-V2-Omni or Muse Wonder?

Muse Wonder leads the LLM Stats Score 47.9 to 27.4. MiMo-V2-Omni is made by Xiaomi and Muse Wonder is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MiMo-V2-Omni compare to Muse Wonder in benchmarks?

MiMo-V2-Omni scores PinchBench: 81.2%, SWE-Bench Verified: 74.8%, Claw-Eval: 54.8%, MM-BrowserComp: 52.0%, OmniGAIA: 49.8%. Muse Wonder scores MemoryBench: 85.6%, DeepSWE 1.1: 78.8%, OSWorld 2.1 (partial): 72.6%, JobBench: 70.5%, HealthBench Professional: 60.5%.

Is MiMo-V2-Omni cheaper than Muse Wonder?

MiMo-V2-Omni is 10.0x cheaper for input tokens. MiMo-V2-Omni costs $0.40/M input and $2.00/M output via xiaomi. Muse Wonder costs $4.00/M input and $20.00/M output via meta.

What are the context window sizes for MiMo-V2-Omni and Muse Wonder?

MiMo-V2-Omni supports 262K tokens and Muse Wonder 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 MiMo-V2-Omni and Muse Wonder?

Key differences include LLM Stats Score (27.4 vs 47.9), context window (262K vs 1.0M), input pricing ($0.40 vs $4.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2-Omni and Muse Wonder?

MiMo-V2-Omni is developed by Xiaomi and Muse Wonder is developed by Meta.

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