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DeepSeek-V3.2-Exp vs Muse Wonder

Muse Wonder leads the LLM Stats Score 49.3 to 27.7.

DeepSeek · Meta · Updated for 2026

Which is better?

Muse Wonder leads the overall LLM Stats Score 49.3 to 27.7, ranking #24 overall.

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

Choose DeepSeek-V3.2-Exp

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

Choose Muse Wonder

  • overall performance matters — it scores 49.3 and ranks #24 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

At a glance

The differences that matter most.

DeepSeek-V3.2-Exp
DeepSeek
Muse Wonder
Meta
Core performance indexes
LLM Stats Score
27.7
#160
49.3
#24
Reasoning
27.6
#156
37.8
#82
Coding
17.1
#143
38.4
#21
Agents
5.6
#166
37.2
#17
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.27 / M
— / M
Output price
$0.41 / M
— / M
Context window
163,840
—

Individual benchmarks

14 reported for DeepSeek-V3.2-Exp · 16 for Muse Wonder

No common benchmarks found

DeepSeek-V3.2-Exp 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

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2-Exp specifies input context (163,840 tokens). Only DeepSeek-V3.2-Exp specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Meta
Muse Wonder
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

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

DeepSeek-V3.2-Exp

Text
Images
Audio
Video

Muse Wonder

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Muse Wonder uses a proprietary license.

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

DeepSeek-V3.2-Exp

MIT

Open weights

Muse Wonder

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Muse Wonder was released on 2026-10-12.

Muse Wonder is 13 months newer than DeepSeek-V3.2-Exp.

DeepSeek-V3.2-Exp

Sep 29, 2025

1.1 years ago

Muse Wonder

Oct 12, 2026

1 weeks ago

1.0yr 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V3.2-Exp and Muse Wonder side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Exp
✓ Preferred
Muse Wonder
Open in Playground

FAQ

Common questions about DeepSeek-V3.2-Exp vs Muse Wonder.

Which is better, DeepSeek-V3.2-Exp or Muse Wonder?

Muse Wonder leads the LLM Stats Score 49.3 to 27.7. DeepSeek-V3.2-Exp is made by DeepSeek 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 DeepSeek-V3.2-Exp compare to Muse Wonder in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. Muse Wonder scores MemoryBench: 85.6%, DeepSWE 1.1: 78.8%, OSWorld 2.1 (partial): 72.6%, JobBench: 70.5%, HealthBench Professional: 60.5%.

What are the context window sizes for DeepSeek-V3.2-Exp and Muse Wonder?

DeepSeek-V3.2-Exp supports 164K tokens and Muse Wonder supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2-Exp and Muse Wonder?

Key differences include LLM Stats Score (27.7 vs 49.3), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and Muse Wonder?

DeepSeek-V3.2-Exp is developed by DeepSeek and Muse Wonder is developed by Meta.

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