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Llama 3.2 3B Instruct vs Muse Ember

Muse Ember leads the LLM Stats Score 45.9 to -6.6. Llama 3.2 3B Instruct is 16.0x cheaper per token.

Meta · Meta · Updated for 2026

Which is better?

Muse Ember leads the overall LLM Stats Score 45.9 to -6.6, ranking #47 overall.

On price, Llama 3.2 3B Instruct is roughly 16.0x 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 Llama 3.2 3B Instruct

  • cost matters — it's about 16.0x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Muse Ember

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

At a glance

The differences that matter most.

Core performance indexes
-6.6
#408
45.9
#47
-7.3
#401
48.1
#24
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.01 / M
$0.10 / M
Output price
$0.02 / M
$0.50 / M
Context window
128,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Llama 3.2 3B Instruct
Muse Ember
4.7#194
30.7#14
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for Llama 3.2 3B Instruct · 6 for Muse Ember

No common benchmarks found

Llama 3.2 3B Instruct and Muse Emberdon'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

Llama 3.2 3B Instruct costs less

For input processing, Llama 3.2 3B Instruct ($0.01/1M tokens) is 10.0x cheaper than Muse Ember ($0.10/1M tokens).

For output processing, Llama 3.2 3B Instruct ($0.02/1M tokens) is 25.0x cheaper than Muse Ember ($0.50/1M tokens).

In conclusion, Muse Ember is more expensive than Llama 3.2 3B Instruct.*

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

Lowest available price from all providers
Fri Nov 13 2026 • llm-stats.com
Meta
Llama 3.2 3B Instruct
Input tokens$0.01
Output tokens$0.02
Best providerDeepinfra
Meta
Muse Ember
Input tokens$0.10
Output tokens$0.50
Best providerMeta
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Muse Ember accepts 1,048,576 input tokens compared to Llama 3.2 3B Instruct's 128,000 tokens. Muse Ember can generate longer responses up to 524,288 tokens, while Llama 3.2 3B Instruct is limited to 128,000 tokens.

Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Meta
Muse Ember
Input1,048,576 tokens
Output524,288 tokens
Fri Nov 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Ember supports multimodal inputs, whereas Llama 3.2 3B Instruct does not.

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

Llama 3.2 3B Instruct

Text
Images
Audio
Video

Muse Ember

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 3B Instruct is licensed under Llama 3.2 Community License, while Muse Ember uses a proprietary license.

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

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Muse Ember

Proprietary

Closed source

Release Timeline

When each model was launched

Llama 3.2 3B Instruct was released on 2024-09-25, while Muse Ember was released on 2026-11-09.

Muse Ember is 26 months newer than Llama 3.2 3B Instruct.

Llama 3.2 3B Instruct

Sep 25, 2024

2.1 years ago

Muse Ember

Nov 9, 2026

3 days ago

2.1yr 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

Provider Availability

Llama 3.2 3B Instruct is available from DeepInfra. Muse Ember is available from Meta Model API.

Llama 3.2 3B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.01/1MOutput Price:Output: $0.02/1M

Muse Ember

meta logo
Meta
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Llama 3.2 3B Instruct and Muse Ember side-by-side, then vote on the output you prefer.

Llama 3.2 3B Instruct
✓ Preferred
Muse Ember
Open in Playground

FAQ

Common questions about Llama 3.2 3B Instruct vs Muse Ember.

Which is better, Llama 3.2 3B Instruct or Muse Ember?

Muse Ember leads the LLM Stats Score 45.9 to -6.6. Llama 3.2 3B Instruct is made by Meta and Muse Ember is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama 3.2 3B Instruct compare to Muse Ember in benchmarks?

Llama 3.2 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%. 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%.

Is Llama 3.2 3B Instruct cheaper than Muse Ember?

Llama 3.2 3B Instruct is 10.0x cheaper for input tokens. Llama 3.2 3B Instruct costs $0.01/M input and $0.02/M output via deepinfra. Muse Ember costs $0.10/M input and $0.50/M output via meta.

What are the context window sizes for Llama 3.2 3B Instruct and Muse Ember?

Llama 3.2 3B Instruct supports 128K tokens and Muse Ember supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.2 3B Instruct and Muse Ember?

Key differences include LLM Stats Score (-6.6 vs 45.9), context window (128K vs 1.0M), input pricing ($0.01 vs $0.10/M), multimodal support (no vs yes), licensing (Llama 3.2 Community License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.