Model Comparison

GPT-4o mini vs Muse Spark 1.1Which is better in 2026?

Comparing GPT-4o mini and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: GPT-4o mini vs Muse Spark 1.1 — which is better?

GPT-4o mini (by OpenAI) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, GPT-4o mini is roughly 7.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-4o mini if…

  • cost matters — it's about 7.6x cheaper per token

Choose Muse Spark 1.1 if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-4o mini and Muse Spark 1.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 8.3x cheaper than Muse Spark 1.1 ($1.25/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 7.1x cheaper than Muse Spark 1.1 ($4.25/1M tokens).

In conclusion, Muse Spark 1.1 is more expensive than GPT-4o mini.*

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

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Meta
Muse Spark 1.1
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Muse Spark 1.1 accepts 1,048,576 input tokens compared to GPT-4o mini's 128,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while GPT-4o mini is limited to 16,384 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o mini and Muse Spark 1.1 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 Spark 1.1

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 Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 24 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

2.0 years ago

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

2.0yr newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Muse Spark 1.1'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 Spark 1.1's cutoff date.

GPT-4o mini

Oct 2023

Muse Spark 1.1

—

Provider Availability

GPT-4o mini is available from Azure. Muse Spark 1.1 is available from Meta Model API.

GPT-4o mini

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

Muse Spark 1.1

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Less expensive input tokens
Less expensive output tokens
Meta
Larger context window (1,048,576 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-4o mini and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

GPT-4o mini
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-4o mini
Meta
Muse Spark 1.1

FAQ

Common questions about GPT-4o mini vs Muse Spark 1.1.

Which is better, GPT-4o mini or Muse Spark 1.1?

GPT-4o mini (OpenAI) and Muse Spark 1.1 (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-4o mini compare to Muse Spark 1.1 in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%.

Is GPT-4o mini cheaper than Muse Spark 1.1?

GPT-4o mini is 8.3x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for GPT-4o mini and Muse Spark 1.1?

GPT-4o mini supports 128K tokens and Muse Spark 1.1 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 Spark 1.1?

Key differences include context window (128K vs 1.0M), input pricing ($0.15 vs $1.25/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o mini and Muse Spark 1.1?

GPT-4o mini is developed by OpenAI and Muse Spark 1.1 is developed by Meta.

Related comparisons