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DeepSeek-V4-Flash-Vision-Exp vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.1 to 44.7.

DeepSeek · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 44.7, ranking #13 overall.

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

Choose DeepSeek-V4-Flash-Vision-Exp

  • you want predictable pricing at $0.22/M input and $0.66/M output

Choose Muse Wonder Full

  • overall performance matters — it scores 52.1 and ranks #13 on LLM Stats
  • your work emphasizes agents — 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-V4-Flash-Vision-Exp
DeepSeek
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
44.7
#42
52.1
#13
Reasoning
41.1
#57
38.4
#71
Coding
33.5
#39
41.5
#8
Agents
30.7
#39
38.5
#8
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,048,576
—

Individual benchmarks

7 reported for DeepSeek-V4-Flash-Vision-Exp · 16 for Muse Wonder Full

No common benchmarks found

DeepSeek-V4-Flash-Vision-Exp and Muse Wonder Fulldon'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-V4-Flash-Vision-Exp specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-Vision-Exp specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Flash-Vision-Exp
Input1,048,576 tokens
Output393,216 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Sat Oct 17 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4-Flash-Vision-Exp and Muse Wonder Full support multimodal inputs.

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

DeepSeek-V4-Flash-Vision-Exp

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 2 months newer than DeepSeek-V4-Flash-Vision-Exp.

DeepSeek-V4-Flash-Vision-Exp

Aug 21, 2026

1 months ago

Muse Wonder Full

Oct 12, 2026

5 days ago

1mo 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-V4-Flash-Vision-Exp and Muse Wonder Full side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Vision-Exp
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Vision-Exp vs Muse Wonder Full.

Which is better, DeepSeek-V4-Flash-Vision-Exp or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.1 to 44.7. DeepSeek-V4-Flash-Vision-Exp is made by DeepSeek and Muse Wonder Full 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-V4-Flash-Vision-Exp compare to Muse Wonder Full in benchmarks?

DeepSeek-V4-Flash-Vision-Exp scores Terminal-Bench 2.1: 83.9%, DSBench-Hard: 63.6%, DeepSWE: 59.3%, NL2Repo: 57.7%, ZEROBench: 35.0%. 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%.

What are the context window sizes for DeepSeek-V4-Flash-Vision-Exp and Muse Wonder Full?

DeepSeek-V4-Flash-Vision-Exp supports 1.0M tokens and Muse Wonder Full 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-V4-Flash-Vision-Exp and Muse Wonder Full?

Key differences include LLM Stats Score (44.7 vs 52.1), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Vision-Exp and Muse Wonder Full?

DeepSeek-V4-Flash-Vision-Exp is developed by DeepSeek and Muse Wonder Full is developed by Meta.

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