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Muse Wonder Full vs Qwen2.5-Coder 7B Instruct

Muse Wonder Full leads the LLM Stats Score 52.1 to -3.2.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to -3.2, ranking #13 overall.

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

Choose Muse Wonder Full

  • overall performance matters — it scores 52.1 and ranks #13 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen2.5-Coder 7B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Muse Wonder Full
Meta
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
52.1
#13
-3.2
#359
Reasoning
38.4
#71
-3.2
#351
Coding
41.5
#8
6.4
#203
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

16 reported for Muse Wonder Full · 19 for Qwen2.5-Coder 7B Instruct

No common benchmarks found

Muse Wonder Full and Qwen2.5-Coder 7B Instructdon'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

Input capabilities

Documented input modalities across available providers

Muse Wonder Full supports multimodal inputs, whereas Qwen2.5-Coder 7B Instruct does not.

Muse Wonder Full can handle both text and other forms of data like images, making it suitable for multimodal applications.

Muse Wonder Full

Text
Images
Audio
Video

Qwen2.5-Coder 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Wonder Full is licensed under a proprietary license, while Qwen2.5-Coder 7B Instruct uses Apache 2.0.

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

Muse Wonder Full

Proprietary

Closed source

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Wonder Full was released on 2026-10-12, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

Muse Wonder Full is 25 months newer than Qwen2.5-Coder 7B Instruct.

Muse Wonder Full

Oct 12, 2026

-1 days ago

2.1yr newer
Qwen2.5-Coder 7B Instruct

Sep 19, 2024

2.1 years 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?

Judge for yourself.

Run your own prompts against Muse Wonder Full and Qwen2.5-Coder 7B Instruct side-by-side, then vote on the output you prefer.

Muse Wonder Full
✓ Preferred
Qwen2.5-Coder 7B Instruct
Open in Playground

FAQ

Common questions about Muse Wonder Full vs Qwen2.5-Coder 7B Instruct.

Which is better, Muse Wonder Full or Qwen2.5-Coder 7B Instruct?

Muse Wonder Full leads the LLM Stats Score 52.1 to -3.2. Muse Wonder Full is made by Meta and Qwen2.5-Coder 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Muse Wonder Full compare to Qwen2.5-Coder 7B Instruct in benchmarks?

Muse Wonder Full scores MemoryBench: 85.5%, DeepSWE 1.1: 79.0%, OSWorld 2.1 (partial): 78.4%, JobBench: 75.3%, HealthBench Professional: 62.3%. Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.

What are the main differences between Muse Wonder Full and Qwen2.5-Coder 7B Instruct?

Key differences include LLM Stats Score (52.1 vs -3.2), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Wonder Full and Qwen2.5-Coder 7B Instruct?

Muse Wonder Full is developed by Meta and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.

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