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MiMo-V2.6-Flash vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 54.2 to 45.7.

Xiaomi · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 54.2 to 45.7, ranking #6 overall.

In the 2 individual benchmarks reported for both models, Muse Spark 1.3 wins 2; this is a narrower head-to-head signal than the composite indexes.

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

Choose MiMo-V2.6-Flash

  • you want the most recent training data — it shipped Sep 2026
  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.3

  • overall performance matters — it scores 54.2 and ranks #6 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

At a glance

The differences that matter most.

Core performance indexes
45.7
#29
54.2
#6
43.2
#42
51.7
#7
36.6
#22
42.1
#9
33.3
#25
40.2
#6
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiMo-V2.6-Flash
Muse Spark 1.3
28.1#22
33.8#4
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for MiMo-V2.6-Flash · 11 for Muse Spark 1.3

2 shared

MiMo-V2.6-Flash outperforms in 0 benchmarks, while Muse Spark 1.3 is better at 2 benchmarks (DeepSWE 1.1, Terminal-Bench 2.1).

Muse Spark 1.3 significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Muse Spark 1.3 specifies input context (1,048,576 tokens). Only Muse Spark 1.3 specifies output context (943,718 tokens).

Xiaomi
MiMo-V2.6-Flash
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both MiMo-V2.6-Flash and Muse Spark 1.3 support multimodal inputs.

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

MiMo-V2.6-Flash

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.6-Flash is licensed under MIT, while Muse Spark 1.3 uses a proprietary license.

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

MiMo-V2.6-Flash

MIT

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

MiMo-V2.6-Flash was released on 2026-09-22, while Muse Spark 1.3 was released on 2026-09-02.

MiMo-V2.6-Flash is 1 month newer than Muse Spark 1.3.

MiMo-V2.6-Flash

Sep 22, 2026

-1 days ago

2w newer
Muse Spark 1.3

Sep 2, 2026

2 weeks 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against MiMo-V2.6-Flash and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

MiMo-V2.6-Flash
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about MiMo-V2.6-Flash vs Muse Spark 1.3.

Which is better, MiMo-V2.6-Flash or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 54.2 to 45.7. MiMo-V2.6-Flash is made by Xiaomi and Muse Spark 1.3 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-V2.6-Flash compare to Muse Spark 1.3 in benchmarks?

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%. Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

What are the context window sizes for MiMo-V2.6-Flash and Muse Spark 1.3?

MiMo-V2.6-Flash supports an unknown number of tokens and Muse Spark 1.3 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-V2.6-Flash and Muse Spark 1.3?

Key differences include LLM Stats Score (45.7 vs 54.2), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Flash and Muse Spark 1.3?

MiMo-V2.6-Flash is developed by Xiaomi and Muse Spark 1.3 is developed by Meta.