GPT-5.6 Sol vs Muse Spark 1.3
GPT-5.6 Sol and Muse Spark 1.3 are closely matched at 56.0 and 55.4 on the LLM Stats Score. Muse Spark 1.3 is 90.0x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-5.6 Sol and Muse Spark 1.3 are closely matched on the overall LLM Stats Score at 56.0 and 55.4.
In the 6 individual benchmarks reported for both models, Muse Spark 1.3 wins 6; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark 1.3 is roughly 90.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Sol also accepts a larger context window (1,050,000 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-5.6 Sol
- you process long inputs — it offers a 1,050,000 token context window
Choose Muse Spark 1.3
- you value its reported benchmark strengths — it wins 6 of 6 exact shared results
- cost matters — it's about 90.0x cheaper per token
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
45 reported for GPT-5.6 Sol · 11 for Muse Spark 1.3
GPT-5.6 Sol outperforms in 0 benchmarks, while Muse Spark 1.3 is better at 5 benchmarks (AutomationBench, DeepSWE 1.1, MRCR v2 (8-needle), MRCR v2 (8-needle, 512K-1M), OSWorld 2.0).
Muse Spark 1.3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.6 Sol ($5.00/1M tokens) is 50.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).
For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 150.0x more expensive than Muse Spark 1.3 ($0.20/1M tokens).
In conclusion, GPT-5.6 Sol is more expensive than Muse Spark 1.3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Sol accepts 1,050,000 input tokens compared to Muse Spark 1.3's 1,048,576 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while GPT-5.6 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.6 Sol and Muse Spark 1.3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.6 Sol
Muse Spark 1.3
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-5.6 Sol was released on 2026-07-09, while Muse Spark 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 2 months newer than GPT-5.6 Sol.
Jul 9, 2026
1 months ago
Sep 2, 2026
0 days ago
1mo newerKnowledge Cutoff
When training data ends
GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Muse Spark 1.3's cutoff date is not specified.
We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without Muse Spark 1.3's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Sol is available from OpenAI. Muse Spark 1.3 is available from Meta Model API.
GPT-5.6 Sol
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.6 Sol and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.6 Sol vs Muse Spark 1.3.