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Llama 3.3 70B Instruct vs Muse Ember

Muse Ember leads the LLM Stats Score 45.9 to 13.2. Llama 3.3 70B Instruct is 1.6x cheaper per token.

Meta · Meta · Updated for 2026

Which is better?

Muse Ember leads the overall LLM Stats Score 45.9 to 13.2, ranking #47 overall.

On price, Llama 3.3 70B Instruct is roughly 1.6x 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 3.3 70B Instruct

  • cost matters — it's about 1.6x 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 and coding — 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
13.2
#286
45.9
#47
11.1
#297
48.1
#24
9.1
#211
27.3
#86
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$0.10 / M
Output price
$0.20 / M
$0.50 / M
Context window
131,072
1,048,576

Individual benchmarks

9 reported for Llama 3.3 70B Instruct · 6 for Muse Ember

No common benchmarks found

Llama 3.3 70B 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 3.3 70B Instruct costs less

For input processing, Llama 3.3 70B Instruct ($0.10/1M tokens) costs the same as Muse Ember ($0.10/1M tokens).

For output processing, Llama 3.3 70B Instruct ($0.20/1M tokens) is 2.5x cheaper than Muse Ember ($0.50/1M tokens).

In conclusion, Muse Ember is more expensive than Llama 3.3 70B Instruct.*

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

Lowest available price from all providers
Thu Nov 12 2026 • llm-stats.com
Meta
Llama 3.3 70B Instruct
Input tokens$0.10
Output tokens$0.20
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 3.3 70B Instruct's 131,072 tokens. Muse Ember can generate longer responses up to 524,288 tokens, while Llama 3.3 70B Instruct is limited to 131,072 tokens.

Meta
Llama 3.3 70B Instruct
Input131,072 tokens
Output131,072 tokens
Meta
Muse Ember
Input1,048,576 tokens
Output524,288 tokens
Thu Nov 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Ember supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

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

Llama 3.3 70B Instruct

Text
Images
Audio
Video

Muse Ember

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, while Muse Ember uses a proprietary license.

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

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Muse Ember

Proprietary

Closed source

Release Timeline

When each model was launched

Llama 3.3 70B Instruct was released on 2024-12-06, while Muse Ember was released on 2026-11-09.

Muse Ember is 23 months newer than Llama 3.3 70B Instruct.

Llama 3.3 70B Instruct

Dec 6, 2024

1.9 years ago

Muse Ember

Nov 9, 2026

3 days ago

1.9yr 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 3.3 70B Instruct is available from DeepInfra, Lambda, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks. Muse Ember is available from Meta Model API.

Llama 3.3 70B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.32/1M
lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M
sambanova logo
Sambanova
Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
together logo
Together
Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

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 3.3 70B Instruct and Muse Ember side-by-side, then vote on the output you prefer.

Llama 3.3 70B Instruct
✓ Preferred
Muse Ember
Open in Playground

FAQ

Common questions about Llama 3.3 70B Instruct vs Muse Ember.

Which is better, Llama 3.3 70B Instruct or Muse Ember?

Muse Ember leads the LLM Stats Score 45.9 to 13.2. Llama 3.3 70B 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 3.3 70B Instruct compare to Muse Ember in benchmarks?

Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%. 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 3.3 70B Instruct cheaper than Muse Ember?

Both models cost $0.10 per million input tokens.

What are the context window sizes for Llama 3.3 70B Instruct and Muse Ember?

Llama 3.3 70B Instruct supports 131K 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 3.3 70B Instruct and Muse Ember?

Key differences include LLM Stats Score (13.2 vs 45.9), context window (131K vs 1.0M), multimodal support (no vs yes), licensing (Llama 3.3 Community License Agreement vs Proprietary). See the full comparison above for benchmark-by-benchmark results.