Muse Spark 1.1vsGPT-5.6 Sol
Across 4 shared benchmarks, GPT-5.6 Sol leads overall: Muse Spark 1.1 wins 0, GPT-5.6 Sol wins 4, with 0 ties and an average score difference of -28.80.
Muse Spark 1.1
Facebook AI研究实验室 · 2026-07-09 · Reasoning model
GPT-5.6 Sol
OpenAI · 2026-06-26 · Reasoning model
Muse Spark 1.10 wins(0%)(100%)4 winsGPT-5.6 Sol
Benchmark scores
Grouped by capability, sorted by largest gap within each. 4 shared benchmarks.
Coding and Software Engineer
GPT-5.6 Sol 3/3| Benchmark | Muse Spark 1.1 | GPT-5.6 Sol | Diff |
|---|---|---|---|
| Text Arena (Coding) | 1,53612 / 35Normal (No Tools) | 1,6204 / 35极高强度思考（无工具） | -83.91 |
| DeepSWE | 53.3017 / 27Thinking (With Tools) | 72.701 / 27极高强度思考（工具） | -19.40 |
| SWE-Bench Pro - Public | 61.5011 / 57Thinking (With Tools) | 64.607 / 57极高强度思考（工具） | -3.10 |
AI Agent - Tool Usage
GPT-5.6 Sol 1/1| Benchmark | Muse Spark 1.1 | GPT-5.6 Sol | Diff |
|---|---|---|---|
| Terminal-Bench 2.1 | 8019 / 44Thinking (With Tools) | 88.801 / 44最高（无工具） | -8.80 |
Specs
| Field | Muse Spark 1.1 | GPT-5.6 Sol |
|---|---|---|
| Publisher | Facebook AI研究实验室 | OpenAI |
| Release date | 2026-07-09 | 2026-06-26 |
| Model type | Reasoning model | Reasoning model |
| Architecture | Dense | Dense |
| Parameters | Not available | Not available |
| Context length | 1M | 1.05M |
| Max output | Not available | 128K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Muse Spark 1.1 | GPT-5.6 Sol |
|---|---|---|
| Text input | Not public | $5 / 1M tokens |
| Text output | Not public | $30 / 1M tokens |
| Cache read | Not public | $0.5 / 1M tokens |
| Cache write | Not public | $6.25 / 1M tokens |
One or both models have incomplete public pricing.
Summary
- GPT-5.6 Solleads in:Coding and Software Engineer (3/3), AI Agent - Tool Usage (1/1)
On average across the 4 shared benchmarks, GPT-5.6 Sol scores 28.80 higher.
Largest single-benchmark gap: Text Arena (Coding) — Muse Spark 1.1 1,536 vs GPT-5.6 Sol 1,620 (-83.91).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.