Compare / head-to-head
GPT-6 Solvs
Muse Spark
GPT-6 Sol leads 2 of 3 shared benchmarks.
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
2 – 1
GPT-6 Sol leads
Cheaper per token
—
list price, input + output
Larger context
—
both 1.1M tokens
Providers
2 providers
OpenAI · Meta
GPT-6 Sol
OpenAI · released 2026-09-22
textvision
Muse Spark
Meta · released 2026-04-08
textvision
- Context
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- Max out
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- Input /1M
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- Output /1M
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- Cached /1M
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- Scores
- 19 · 8 core
Quality
Benchmark matrix
3 shared · 24 only GPT-6 Sol · 15 only Muse Spark| Benchmark | GPT-6 Sol | Muse Spark | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 3 | ||||
| GPQA Diamond | 94.3% ↗epoch run | 89.5% ↗ | +4.8 pt | GPT-6 Sol |
| LMArena Elo | 1457.2 ↗ | 1489.3 ↗ | -32.1 | Muse Spark |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 100% ↗epoch run | 88.9% ↗epoch run | +11.1 pt | GPT-6 Sol |
| Only GPT-6 Sol reports · 24 | ||||
| Agents' Last Exam V1 | 56.4% ↗ | not reported | — | — |
| APEX-Agents (Mercor) | 54.3% ↗ | not reported | — | — |
| AutomationBench 1.0.6 | 33.2% ↗ | not reported | — | — |
| DeepSWE v1.1 | 68.8% ↗ | not reported | — | — |
| EBR-bench (Epoch AI run) | 53.3% ↗epoch run | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 90% ↗epoch run | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 89.8% ↗epoch run | not reported | — | — |
| Furniture Assembly (Epoch AI run) | 58.3% ↗epoch run | not reported | — | — |
| LiveBench Agentic Coding (LiveBench) | 52.9% ↗ | not reported | — | — |
| LiveBench Coding (LiveBench) | 81.8% ↗ | not reported | — | — |
| LiveBench Data Analysis (LiveBench) | 81.2% ↗ | not reported | — | — |
| LiveBench Instruction Following (LiveBench) | 68.6% ↗ | not reported | — | — |
| LiveBench Language (LiveBench) | 85.3% ↗ | not reported | — | — |
| LiveBench Mathematics (LiveBench) | 96.4% ↗ | not reported | — | — |
| LiveBench Reasoning (LiveBench) | 88.7% ↗ | not reported | — | — |
| LMArena Agent (LMArena) | 0.0971 ↗ | not reported | — | — |
| LMArena WebDev (LMArena) | 1689 ↗ | not reported | — | — |
| Mystery Game Puzzles (Epoch AI run) | 56% ↗epoch run | not reported | — | — |
| OSWorld 2.0 (offline, partial) | 60.5% ↗ | not reported | — | — |
| SAGE (Vals AI) | 44.8% ↗ | not reported | — | — |
| SimpleBench (SimpleBench) | 73.1% ↗ | not reported | — | — |
| SimpleQA Verified | 60.7% ↗epoch run | not reported | — | — |
| Terminal-Bench 4.0 (Vals AI) | 44.4% ↗ | not reported | — | — |
| Vending-Bench 2 (Andon Labs) | 14427.85 ↗ | not reported | — | — |
| Only Muse Spark reports · 15 | ||||
| SWE-bench Verified | not reported | 77.4% ↗ | — | — |
| Humanity's Last Exam (no tools) | not reported | 42.8% ↗ | — | — |
| ARC AGI 2 (Public) | not reported | 42.5% ↗ | — | — |
| CharXiv Reasoning | not reported | 86.4% ↗ | — | — |
| DeepSearchQA | not reported | 74.8% ↗ | — | — |
| HealthBench Hard | not reported | 42.8% ↗ | — | — |
| Humanity's Last Exam (with tools) | not reported | 50.4% ↗ | — | — |
| LiveCodeBench Pro | not reported | 80% ↗ | — | — |
| LMArena Vision (LMArena) | not reported | 1293.6 ↗ | — | — |
| MedXpertQA (MM) | not reported | 78.4% ↗ | — | — |
| MMMU Pro | not reported | 80.4% ↗ | — | — |
| ScreenSpot Pro (With Python) | not reported | 84.1% ↗ | — | — |
| SimpleVQA | not reported | 71.3% ↗ | — | — |
| SWE-Bench Pro | not reported | 52.4% ↗ | — | — |
| Terminal-Bench 2.0 | not reported | 59% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is GPT-6 Sol minus Muse Spark in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | GPT-6 Sol | Muse Spark | Edge |
|---|---|---|---|
| Context window | 1.1M tokens | — | — |
| Max output | 128K tokens | — | — |
| Input price / 1M | $2 ↗ | — | — |
| Output price / 1M | $10 ↗ | — | — |
| Cached input / 1M | $0.2 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $12 | — | — |
| Modalities | text · vision | text · vision | Tie |
| Released | 2026-09-22 | 2026-04-08 | — |
| Cited benchmark scores | 27 | 19 | — |
Reliability
Provider status
Live from /statusMore matchups
GPT-6 Sol vs …
Models sharing the most benchmarksMore matchups
Muse Spark vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GPT-6 Sol and Muse Spark on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.