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DeepSeek-V4.1-Flash vs Muse Glimmer-30B

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 35.0. DeepSeek-V4.1-Flash is 1.6x cheaper per token.

DeepSeek · Meta · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 35.0, ranking #13 overall.

In the 3 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4.1-Flash is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash also accepts a larger context window (1,040,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek-V4.1-Flash

  • overall performance matters — it scores 51.8 and ranks #13 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • cost matters — it's about 1.6x cheaper per token
  • you process long inputs — it offers a 1,040,000 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Muse Glimmer-30B

  • you want predictable pricing at $0.30/M input and $1.20/M output

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
Muse Glimmer-30B
Meta
Core performance indexes
LLM Stats Score
51.8
#13
35.0
#90
Reasoning
48.9
#18
34.4
#88
Coding
44.2
#5
22.3
#81
Agents
41.1
#4
16.6
#78
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.22 / M
$0.30 / M
Output price
$0.66 / M
$1.20 / M
Context window
1,040,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
DeepSeek-V4.1-Flash
Muse Glimmer-30B
Math
35.2#43
28.4#92
Vision
29.5#31
20.6#68
Tool use
34.8#2
15.8#87
Multimodal
34.3#13
23.9#54
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 25 for Muse Glimmer-30B

3 shared

DeepSeek-V4.1-Flash outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, Terminal-Bench 2.1), while Muse Glimmer-30B is better at 0 benchmarks.

DeepSeek-V4.1-Flash significantly outperforms across most benchmarks.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4.1-Flash costs less

For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 1.4x cheaper than Muse Glimmer-30B ($0.30/1M tokens).

For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 1.8x cheaper than Muse Glimmer-30B ($1.20/1M tokens).

In conclusion, Muse Glimmer-30B is more expensive than DeepSeek-V4.1-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Sep 20 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash
Input tokens$0.22
Output tokens$0.66
Best providerFireworks
Meta
Muse Glimmer-30B
Input tokens$0.30
Output tokens$1.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

733.6B diff

DeepSeek-V4.1-Flash has 733.6B more parameters than Muse Glimmer-30B, making it 2478.4% larger.

DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
Meta
Muse Glimmer-30B
29.6Bparameters
763.2B
DeepSeek-V4.1-Flash
29.6B
Muse Glimmer-30B

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash accepts 1,040,000 input tokens compared to Muse Glimmer-30B's 131,072 tokens. DeepSeek-V4.1-Flash can generate longer responses up to 393,216 tokens, while Muse Glimmer-30B is limited to 131,072 tokens.

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Meta
Muse Glimmer-30B
Input131,072 tokens
Output131,072 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash and Muse Glimmer-30B support multimodal inputs.

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

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

Muse Glimmer-30B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash is licensed under MIT, while Muse Glimmer-30B uses Apache 2.0.

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

DeepSeek-V4.1-Flash

MIT

Open weights

Muse Glimmer-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while Muse Glimmer-30B was released on 2026-08-10.

DeepSeek-V4.1-Flash is 1 month newer than Muse Glimmer-30B.

DeepSeek-V4.1-Flash

Sep 10, 2026

1 weeks ago

1mo newer
Muse Glimmer-30B

Aug 10, 2026

1 months ago

Knowledge Cutoff

When training data ends

Muse Glimmer-30B has a documented knowledge cutoff of 2026-01-04, while DeepSeek-V4.1-Flash'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-V4.1-Flash's cutoff date.

DeepSeek-V4.1-Flash

—

Muse Glimmer-30B

Jan 2026

Provider Availability

DeepSeek-V4.1-Flash is available from Fireworks, DeepInfra, DeepSeek, Novita. Muse Glimmer-30B is available from DeepInfra.

DeepSeek-V4.1-Flash

fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.66/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Muse Glimmer-30B

deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash and Muse Glimmer-30B side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash
✓ Preferred
Muse Glimmer-30B
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash vs Muse Glimmer-30B.

Which is better, DeepSeek-V4.1-Flash or Muse Glimmer-30B?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 35.0. DeepSeek-V4.1-Flash 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-V4.1-Flash compare to Muse Glimmer-30B in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. Muse Glimmer-30B scores AIME 2026: 94.7%, Siren AgentDojo Utility: 94.2%, GPQA: 83.5%, AA-LCR: 80.0%, CharXiv-R: 78.8%.

Is DeepSeek-V4.1-Flash cheaper than Muse Glimmer-30B?

DeepSeek-V4.1-Flash is 1.4x cheaper for input tokens. DeepSeek-V4.1-Flash costs $0.22/M input and $0.66/M output via fireworks. Muse Glimmer-30B costs $0.30/M input and $1.20/M output via deepinfra.

What are the context window sizes for DeepSeek-V4.1-Flash and Muse Glimmer-30B?

DeepSeek-V4.1-Flash supports 1.0M tokens and Muse Glimmer-30B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4.1-Flash and Muse Glimmer-30B?

Key differences include LLM Stats Score (51.8 vs 35.0), context window (1.0M vs 131K), input pricing ($0.22 vs $0.30/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash and Muse Glimmer-30B?

DeepSeek-V4.1-Flash is developed by DeepSeek and Muse Glimmer-30B is developed by Meta.

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