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DeepSeek-V4-Flash-Vision-Exp vs Muse Glimmer-30B

DeepSeek-V4-Flash-Vision-Exp leads the LLM Stats Score 47.0 to 35.1.

DeepSeek · Meta · Updated for 2026

Which is better?

DeepSeek-V4-Flash-Vision-Exp leads the overall LLM Stats Score 47.0 to 35.1, ranking #24 overall.

In the 1 individual benchmarks reported for both models, DeepSeek-V4-Flash-Vision-Exp wins 1; 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 DeepSeek-V4-Flash-Vision-Exp

  • overall performance matters — it scores 47.0 and ranks #24 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2026

Choose Muse Glimmer-30B

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

At a glance

The differences that matter most.

Core performance indexes
47.0
#24
35.1
#83
43.5
#38
34.5
#84
35.2
#28
22.6
#75
32.7
#22
16.9
#70
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-Vision-Exp
Muse Glimmer-30B
25.6#31
17.5#70
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for DeepSeek-V4-Flash-Vision-Exp · 25 for Muse Glimmer-30B

1 shared

DeepSeek-V4-Flash-Vision-Exp outperforms in 1 benchmarks (Terminal-Bench 2.1), while Muse Glimmer-30B is better at 0 benchmarks.

DeepSeek-V4-Flash-Vision-Exp significantly outperforms across most benchmarks.

Sun Sep 06 2026 • llm-stats.com

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 Glimmer-30B
Input- tokens
Output- tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4-Flash-Vision-Exp and Muse Glimmer-30B 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 Glimmer-30B

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Muse Glimmer-30B was released on 2026-08-10.

DeepSeek-V4-Flash-Vision-Exp is 0 month newer than Muse Glimmer-30B.

DeepSeek-V4-Flash-Vision-Exp

Aug 21, 2026

2 weeks ago

1w newer
Muse Glimmer-30B

Aug 10, 2026

3 weeks ago

Knowledge Cutoff

When training data ends

Muse Glimmer-30B has a documented knowledge cutoff of 2026-01-04, while DeepSeek-V4-Flash-Vision-Exp's cutoff date is not specified.

We can confirm Muse Glimmer-30B's training data extends to 2026-01-04, but cannot make a direct comparison without DeepSeek-V4-Flash-Vision-Exp's cutoff date.

DeepSeek-V4-Flash-Vision-Exp

Muse Glimmer-30B

Jan 2026

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and Muse Glimmer-30B side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Vision-Exp
✓ Preferred
Muse Glimmer-30B
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Vision-Exp vs Muse Glimmer-30B.

Which is better, DeepSeek-V4-Flash-Vision-Exp or Muse Glimmer-30B?

DeepSeek-V4-Flash-Vision-Exp leads the LLM Stats Score 47.0 to 35.1. DeepSeek-V4-Flash-Vision-Exp is made by DeepSeek and Muse Glimmer-30B 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 Glimmer-30B 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 Glimmer-30B scores AIME 2026: 94.7%, Siren AgentDojo Utility: 94.2%, GPQA: 83.5%, AA-LCR: 80.0%, CharXiv-R: 78.8%.

What are the context window sizes for DeepSeek-V4-Flash-Vision-Exp and Muse Glimmer-30B?

DeepSeek-V4-Flash-Vision-Exp supports 1.0M tokens and Muse Glimmer-30B 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 Glimmer-30B?

Key differences include LLM Stats Score (47.0 vs 35.1), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Vision-Exp and Muse Glimmer-30B?

DeepSeek-V4-Flash-Vision-Exp is developed by DeepSeek and Muse Glimmer-30B is developed by Meta.