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GPT-4o mini vs Muse Ember

Muse Ember leads the LLM Stats Score 45.9 to 3.1. Muse Ember is 1.3x cheaper per token.

OpenAI · Meta · Updated for 2026

Which is better?

Muse Ember leads the overall LLM Stats Score 45.9 to 3.1, ranking #47 overall.

On price, Muse Ember is roughly 1.3x 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 GPT-4o mini

  • you want predictable pricing at $0.15/M input and $0.60/M output

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
  • cost matters — it's about 1.3x 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

At a glance

The differences that matter most.

Core performance indexes
3.1
#354
45.9
#47
3.5
#343
48.1
#24
-1.0
#287
27.3
#85
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.15 / M
$0.10 / M
Output price
$0.60 / M
$0.50 / M
Context window
128,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-4o mini
Muse Ember
-0.7#219
23.4#78
2.2#175
23.6#74
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for GPT-4o mini · 6 for Muse Ember

No common benchmarks found

GPT-4o mini 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

Muse Ember costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 1.5x more expensive than Muse Ember ($0.10/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 1.2x more expensive than Muse Ember ($0.50/1M tokens).

In conclusion, GPT-4o mini is more expensive than Muse Ember.*

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

Lowest available price from all providers
Thu Nov 12 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
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 GPT-4o mini's 128,000 tokens. Muse Ember can generate longer responses up to 524,288 tokens, while GPT-4o mini is limited to 16,384 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 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

Both GPT-4o mini and Muse Ember support multimodal inputs.

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

GPT-4o mini

Text
Images
Audio
Video

Muse Ember

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-4o mini

Proprietary

Closed source

Muse Ember

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Muse Ember was released on 2026-11-09.

Muse Ember is 28 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

2.3 years ago

Muse Ember

Nov 9, 2026

3 days ago

2.3yr newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Muse Ember's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Muse Ember's cutoff date.

GPT-4o mini

Oct 2023

Muse Ember

—

Provider Availability

GPT-4o mini is available from Azure. Muse Ember is available from Meta Model API.

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

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 GPT-4o mini and Muse Ember side-by-side, then vote on the output you prefer.

GPT-4o mini
✓ Preferred
Muse Ember
Open in Playground

FAQ

Common questions about GPT-4o mini vs Muse Ember.

Which is better, GPT-4o mini or Muse Ember?

Muse Ember leads the LLM Stats Score 45.9 to 3.1. GPT-4o mini is made by OpenAI 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 GPT-4o mini compare to Muse Ember in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. 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 GPT-4o mini cheaper than Muse Ember?

Muse Ember is 1.5x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. Muse Ember costs $0.10/M input and $0.50/M output via meta.

What are the context window sizes for GPT-4o mini and Muse Ember?

GPT-4o mini 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 GPT-4o mini and Muse Ember?

Key differences include LLM Stats Score (3.1 vs 45.9), context window (128K vs 1.0M), input pricing ($0.15 vs $0.10/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o mini and Muse Ember?

GPT-4o mini is developed by OpenAI and Muse Ember is developed by Meta.