GPT-5.6 Terra vs Muse Spark 1.1
GPT-5.6 Terra and Muse Spark 1.1 are closely matched at 51.0 and 49.7 on the LLM Stats Score. Muse Spark 1.1 is 2.3x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-5.6 Terra and Muse Spark 1.1 are closely matched on the overall LLM Stats Score at 51.0 and 49.7.
In the 4 individual benchmarks reported for both models, GPT-5.6 Terra wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark 1.1 is roughly 2.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Terra 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 Terra
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
Choose Muse Spark 1.1
- cost matters — it's about 2.3x cheaper per token
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 Terra · 11 for Muse Spark 1.1
GPT-5.6 Terra outperforms in 3 benchmarks (DeepSWE 1.1, SWE-Bench Pro, Terminal-Bench 2.1), while Muse Spark 1.1 is better at 1 benchmark (Toolathlon).
GPT-5.6 Terra shows notably better performance in the majority of 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 Terra ($2.00/1M tokens) is 1.6x more expensive than Muse Spark 1.1 ($1.25/1M tokens).
For output processing, GPT-5.6 Terra ($12.00/1M tokens) is 2.8x more expensive than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, GPT-5.6 Terra 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
GPT-5.6 Terra accepts 1,050,000 input tokens compared to Muse Spark 1.1's 1,048,576 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while GPT-5.6 Terra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.6 Terra and Muse Spark 1.1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.6 Terra
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
Both models were released on 2026-07-09.
They likely represent similar generations of model development.
Jul 9, 2026
2 months ago
Jul 9, 2026
2 months ago
Knowledge Cutoff
When training data ends
GPT-5.6 Terra has a documented knowledge cutoff of 2026-02-16, while Muse Spark 1.1's cutoff date is not specified.
We can confirm GPT-5.6 Terra's training data extends to 2026-02-16, but cannot make a direct comparison without Muse Spark 1.1's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Terra is available from OpenAI. Muse Spark 1.1 is available from Meta Model API.
GPT-5.6 Terra
Muse Spark 1.1
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.6 Terra and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.6 Terra vs Muse Spark 1.1.