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Muse Ember vs Qwen3 VL 4B Instruct

Muse Ember leads the LLM Stats Score 45.9 to 10.2. Muse Ember is 1.1x cheaper per token.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Ember leads the overall LLM Stats Score 45.9 to 10.2, ranking #47 overall.

On price, Muse Ember is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Ember also accepts a larger context window (1,048,576 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 Muse Ember

  • overall performance matters — it scores 45.9 and ranks #47 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • cost matters — it's about 1.1x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Nov 2026

Choose Qwen3 VL 4B Instruct

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

At a glance

The differences that matter most.

Muse Ember
Meta
Qwen3 VL 4B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
45.9
#47
10.2
#308
Reasoning
48.1
#24
7.8
#320
Agents
31.6
#45
1.7
#209
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$0.10 / M
Output price
$0.50 / M
$0.60 / M
Context window
1,048,576
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Muse Ember
Qwen3 VL 4B Instruct
Vision
23.4#78
6.9#176
Multimodal
23.6#74
8.2#153
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Muse Ember · 45 for Qwen3 VL 4B Instruct

No common benchmarks found

Muse Ember and Qwen3 VL 4B 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

Pricing Analysis

Price comparison per million tokens

Muse Ember costs less

For input processing, Muse Ember ($0.10/1M tokens) costs the same as Qwen3 VL 4B Instruct ($0.10/1M tokens).

For output processing, Muse Ember ($0.50/1M tokens) is 1.2x cheaper than Qwen3 VL 4B Instruct ($0.60/1M tokens).

In conclusion, Qwen3 VL 4B Instruct is more expensive than Muse Ember.*

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

Lowest available price from all providers
Sat Nov 14 2026 • llm-stats.com
Meta
Muse Ember
Input tokens$0.10
Output tokens$0.50
Best providerMeta
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input tokens$0.10
Output tokens$0.60
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Muse Ember accepts 1,048,576 input tokens compared to Qwen3 VL 4B Instruct's 262,144 tokens. Muse Ember can generate longer responses up to 524,288 tokens, while Qwen3 VL 4B Instruct is limited to 262,144 tokens.

Meta
Muse Ember
Input1,048,576 tokens
Output524,288 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input262,144 tokens
Output262,144 tokens
Sat Nov 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Ember and Qwen3 VL 4B Instruct support multimodal inputs.

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

Muse Ember

Text
Images
Audio
Video

Qwen3 VL 4B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Ember is licensed under a proprietary license, while Qwen3 VL 4B Instruct uses Apache 2.0.

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

Muse Ember

Proprietary

Closed source

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Ember was released on 2026-11-09, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Muse Ember is 14 months newer than Qwen3 VL 4B Instruct.

Muse Ember

Nov 9, 2026

3 days ago

1.1yr newer
Qwen3 VL 4B Instruct

Sep 22, 2025

1.1 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

Provider Availability

Muse Ember is available from Meta Model API. Qwen3 VL 4B Instruct is available from DeepInfra.

Muse Ember

meta logo
Meta
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Qwen3 VL 4B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Muse Ember and Qwen3 VL 4B Instruct side-by-side, then vote on the output you prefer.

Muse Ember
✓ Preferred
Qwen3 VL 4B Instruct
Open in Playground

FAQ

Common questions about Muse Ember vs Qwen3 VL 4B Instruct.

Which is better, Muse Ember or Qwen3 VL 4B Instruct?

Muse Ember leads the LLM Stats Score 45.9 to 10.2. Muse Ember is made by Meta and Qwen3 VL 4B 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 Ember compare to Qwen3 VL 4B Instruct in benchmarks?

Muse Ember scores PerceptionBench: 80.6%, OSWorld 2.1 (partial): 69.5%, Agents' Last Exam: 61.6%, Personal Superintelligence Index: 46.8%, Terminal-Bench 4.0: 40.9%. Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

Is Muse Ember cheaper than Qwen3 VL 4B Instruct?

Both models cost $0.10 per million input tokens.

What are the context window sizes for Muse Ember and Qwen3 VL 4B Instruct?

Muse Ember supports 1.0M tokens and Qwen3 VL 4B Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Ember and Qwen3 VL 4B Instruct?

Key differences include LLM Stats Score (45.9 vs 10.2), context window (1.0M vs 262K), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Ember and Qwen3 VL 4B Instruct?

Muse Ember is developed by Meta and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.

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