Model Comparison

GPT-5.1 Thinking vs Muse Spark 1.1Which is better in 2026?

Comparing GPT-5.1 Thinking and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: GPT-5.1 Thinking vs Muse Spark 1.1 — which is better?

GPT-5.1 Thinking (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, Muse Spark 1.1 is roughly 1.7x 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-5.1 Thinking if…

  • you want predictable pricing at $1.25/M input and $10.00/M output

Choose Muse Spark 1.1 if…

  • cost matters — it's about 1.7x 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 Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.1 Thinking 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

Muse Spark 1.1 costs less

For input processing, GPT-5.1 Thinking ($1.25/1M tokens) costs the same as Muse Spark 1.1 ($1.25/1M tokens).

For output processing, GPT-5.1 Thinking ($10.00/1M tokens) is 2.4x more expensive than Muse Spark 1.1 ($4.25/1M tokens).

In conclusion, GPT-5.1 Thinking is more expensive than Muse Spark 1.1.*

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

Lowest available price from all providers
Tue Jul 28 2026 • llm-stats.com
OpenAI
GPT-5.1 Thinking
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
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-5.1 Thinking's 400,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while GPT-5.1 Thinking is limited to 128,000 tokens.

OpenAI
GPT-5.1 Thinking
Input400,000 tokens
Output128,000 tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.1 Thinking and Muse Spark 1.1 support multimodal inputs.

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

GPT-5.1 Thinking

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-5.1 Thinking

Proprietary

Closed source

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.1 Thinking was released on 2025-11-12, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 8 months newer than GPT-5.1 Thinking.

GPT-5.1 Thinking

Nov 12, 2025

8 months ago

Muse Spark 1.1

Jul 9, 2026

2 weeks ago

7mo 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

GPT-5.1 Thinking is available from OpenAI. Muse Spark 1.1 is available from Meta Model API.

GPT-5.1 Thinking

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

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

No standout differentiators in the data we have for this pair.

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

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.1 Thinking and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

GPT-5.1 Thinking
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.1 Thinking
Meta
Muse Spark 1.1

FAQ

Common questions about GPT-5.1 Thinking vs Muse Spark 1.1.

Which is better, GPT-5.1 Thinking or Muse Spark 1.1?

GPT-5.1 Thinking (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-5.1 Thinking compare to Muse Spark 1.1 in benchmarks?

GPT-5.1 Thinking scores Tau2 Telecom: 95.6%, AIME 2025: 94.0%, BrowseComp Long Context 128k: 90.0%, GPQA: 88.1%, MMMU: 85.4%. 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-5.1 Thinking cheaper than Muse Spark 1.1?

Both models cost $1.25 per million input tokens.

What are the context window sizes for GPT-5.1 Thinking and Muse Spark 1.1?

GPT-5.1 Thinking supports 400K 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-5.1 Thinking and Muse Spark 1.1?

Key differences include context window (400K vs 1.0M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.1 Thinking and Muse Spark 1.1?

GPT-5.1 Thinking is developed by OpenAI and Muse Spark 1.1 is developed by Meta.

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