Model Comparison

Muse Spark 1.1 vs o4-miniWhich is better in 2026?

Muse Spark 1.1 significantly outperforms across most benchmarks. o4-mini is 1.0x cheaper per token.

Verdict: Muse Spark 1.1 vs o4-mini — which is better?

Muse Spark 1.1 (by Meta) and o4-mini (by OpenAI) 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.

Muse Spark 1.1 outperforms in 2 benchmarks (CharXiv-R, Humanity's Last Exam), while o4-mini is better at 0 benchmarks. Muse Spark 1.1 significantly outperforms across most benchmarks.

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 Muse Spark 1.1 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose o4-mini if…

  • you want predictable pricing at $1.10/M input and $4.40/M output

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Muse Spark 1.1 outperforms in 2 benchmarks (CharXiv-R, Humanity's Last Exam), while o4-mini is better at 0 benchmarks.

Muse Spark 1.1 significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

o4-mini costs less

For input processing, Muse Spark 1.1 ($1.25/1M tokens) is 1.1x more expensive than o4-mini ($1.10/1M tokens).

For output processing, Muse Spark 1.1 ($4.25/1M tokens) is 1.0x cheaper than o4-mini ($4.40/1M tokens).

In conclusion, Muse Spark 1.1 is more expensive than o4-mini.*

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

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Meta
Muse Spark 1.1
Input tokens$1.25
Output tokens$4.25
Best providerMeta
OpenAI
o4-mini
Input tokens$1.10
Output tokens$4.40
Best providerOpenAI
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 o4-mini's 200,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while o4-mini is limited to 100,000 tokens.

Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
OpenAI
o4-mini
Input200,000 tokens
Output100,000 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Muse Spark 1.1 and o4-mini support multimodal inputs.

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

Muse Spark 1.1

Text
Images
Audio
Video

o4-mini

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.

Muse Spark 1.1

Proprietary

Closed source

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Spark 1.1 was released on 2026-07-09, while o4-mini was released on 2025-04-16.

Muse Spark 1.1 is 15 months newer than o4-mini.

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

1.2yr newer
o4-mini

Apr 16, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

o4-mini has a documented knowledge cutoff of 2024-05-31, while Muse Spark 1.1's cutoff date is not specified.

We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without Muse Spark 1.1's cutoff date.

Muse Spark 1.1

—

o4-mini

May 2024

Provider Availability

Muse Spark 1.1 is available from Meta Model API. o4-mini is available from OpenAI.

Muse Spark 1.1

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M

o4-mini

openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Larger context window (1,048,576 tokens)
Less expensive output tokens
Higher CharXiv-R score (88.4% vs 72.0%)
Higher Humanity's Last Exam score (62.1% vs 14.7%)
OpenAI
Less expensive input tokens
MetaMuse Spark 1.1
OpenAIo4-mini
Compare in Playground

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Muse Spark 1.1 and o4-mini side-by-side, then vote on the output you prefer.

Muse Spark 1.1
✓ Preferred
o4-mini
Open in Playground
AI Model Comparison Table
Feature
Meta
Muse Spark 1.1
OpenAI
o4-mini

FAQ

Common questions about Muse Spark 1.1 vs o4-mini.

Which is better, Muse Spark 1.1 or o4-mini?

Muse Spark 1.1 significantly outperforms across most benchmarks. Muse Spark 1.1 is made by Meta and o4-mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Muse Spark 1.1 compare to o4-mini in benchmarks?

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%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.

Is Muse Spark 1.1 cheaper than o4-mini?

o4-mini is 1.1x cheaper for input tokens. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta. o4-mini costs $1.10/M input and $4.40/M output via openai.

What are the context window sizes for Muse Spark 1.1 and o4-mini?

Muse Spark 1.1 supports 1.0M tokens and o4-mini supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Spark 1.1 and o4-mini?

Key differences include context window (1.0M vs 200K), input pricing ($1.25 vs $1.10/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.1 and o4-mini?

Muse Spark 1.1 is developed by Meta and o4-mini is developed by OpenAI.

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