GPT-5 High vs Muse Spark Open
GPT-5 High and Muse Spark Open are closely matched at 33.7 and 45.3 on the LLM Stats Score. Muse Spark Open is 1.7x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-5 High and Muse Spark Open are closely matched on the overall LLM Stats Score at 33.7 and 45.3.
In the 1 individual benchmarks reported for both models, Muse Spark Open wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark Open is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark Open also accepts a larger context window (1,048,576 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 High
- you want predictable pricing at $1.25/M input and $10.00/M output
Choose Muse Spark Open
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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 Oct 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
2 reported for GPT-5 High · 17 for Muse Spark Open
GPT-5 High outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (GPQA).
Muse Spark Open 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 High ($1.25/1M tokens) costs the same as Muse Spark Open ($1.25/1M tokens).
For output processing, GPT-5 High ($10.00/1M tokens) is 2.4x more expensive than Muse Spark Open ($4.25/1M tokens).
In conclusion, GPT-5 High is more expensive than Muse Spark Open.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to GPT-5 High's 400,000 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while GPT-5 High is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5 High and Muse Spark Open support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5 High
Muse Spark Open
License
Usage and distribution terms
GPT-5 High is licensed under a proprietary license, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Muse Model License
Open weights
Release Timeline
When each model was launched
GPT-5 High was released on 2025-08-07, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 14 months newer than GPT-5 High.
Aug 7, 2025
1.2 years ago
Oct 15, 2026
4 days ago
1.2yr newerKnowledge Cutoff
When training data ends
GPT-5 High has a documented knowledge cutoff of 2024-09-30, while Muse Spark Open's cutoff date is not specified.
We can confirm GPT-5 High's training data extends to 2024-09-30, but cannot make a direct comparison without Muse Spark Open's cutoff date.
Sep 2024
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Provider Availability
GPT-5 High is available from OpenAI. Muse Spark Open is available from Together.
GPT-5 High
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5 High and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5 High vs Muse Spark Open.