Model Comparison
GPT-5.2 Pro vs Muse Spark 1.1Which is better in 2026?
Muse Spark 1.1 significantly outperforms across most benchmarks. Muse Spark 1.1 is 28.9x cheaper per token.
Verdict: GPT-5.2 Pro vs Muse Spark 1.1 — which is better?
GPT-5.2 Pro (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.
GPT-5.2 Pro outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 1 benchmark (Humanity's Last Exam). Muse Spark 1.1 significantly outperforms across most benchmarks.
On price, Muse Spark 1.1 is roughly 28.9x 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-5.2 Pro if…
- you want predictable pricing at $21.00/M input and $168.00/M output
Choose Muse Spark 1.1 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 28.9x 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
GPT-5.2 Pro outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 1 benchmark (Humanity's Last Exam).
Muse Spark 1.1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.2 Pro ($21.00/1M tokens) is 16.8x more expensive than Muse Spark 1.1 ($1.25/1M tokens).
For output processing, GPT-5.2 Pro ($168.00/1M tokens) is 39.5x more expensive than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, GPT-5.2 Pro is more expensive than Muse Spark 1.1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.1 accepts 1,048,576 input tokens compared to GPT-5.2 Pro's 400,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while GPT-5.2 Pro is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both GPT-5.2 Pro and Muse Spark 1.1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.2 Pro
Muse Spark 1.1
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-5.2 Pro was released on 2025-12-11, while Muse Spark 1.1 was released on 2026-07-09.
Muse Spark 1.1 is 7 months newer than GPT-5.2 Pro.
Dec 11, 2025
7 months ago
Jul 9, 2026
1 weeks ago
7mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-5.2 Pro is available from OpenAI. Muse Spark 1.1 is available from Meta Model API.
GPT-5.2 Pro
Muse Spark 1.1
Outputs Comparison
Key Takeaways
GPT-5.2 Pro
View detailsOpenAI
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.2 Pro and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-5.2 Pro vs Muse Spark 1.1.