Compare / head-to-head
GPT-6.1 Solvs
Muse Spark 1.2
GPT-6.1 Sol leads 11 of 16 shared benchmarks. Muse Spark 1.2 is 2.2x cheaper per token. GPT-6.1 Sol has the larger context window (1.1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
11 – 5
GPT-6.1 Sol leads
Cheaper per token
Muse Spark 1.2
2.2x cheaper, input + output
Larger context
GPT-6.1 Sol
1.1M tokens
Providers
2 providers
OpenAI · Meta
GPT-6.1 Sol
OpenAI · released 2026-09-29
textvision
Muse Spark 1.2
Meta · released 2026-08-05
textvisionvideoaudio
Quality
Benchmark matrix
16 shared · 8 only GPT-6.1 Sol · 7 only Muse Spark 1.2| Benchmark | GPT-6.1 Sol | Muse Spark 1.2 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 16 | ||||
| LMArena Elo | 1483.2 ↗ | 1493.5 ↗ | -10.3 | Muse Spark 1.2 |
| APEX-Agents (Mercor) | 60% ↗ | 36.4% ↗ | +23.6 pt | GPT-6.1 Sol |
| LiveBench Agentic Coding (LiveBench) | 56.8% ↗ | 57.6% ↗ | -0.8 pt | Muse Spark 1.2 |
| LiveBench Coding (LiveBench) | 80.7% ↗ | 77.5% ↗ | +3.2 pt | GPT-6.1 Sol |
| LiveBench Data Analysis (LiveBench) | 82.7% ↗ | 76.5% ↗ | +6.2 pt | GPT-6.1 Sol |
| LiveBench Instruction Following (LiveBench) | 74.2% ↗ | 74.3% ↗ | -0.1 pt | Muse Spark 1.2 |
| LiveBench Language (LiveBench) | 90.1% ↗ | 78.6% ↗ | +11.5 pt | GPT-6.1 Sol |
| LiveBench Mathematics (LiveBench) | 96.8% ↗ | 91.2% ↗ | +5.6 pt | GPT-6.1 Sol |
| LiveBench Reasoning (LiveBench) | 92.6% ↗ | 90% ↗ | +2.6 pt | GPT-6.1 Sol |
| LMArena Agent (LMArena) | 0.1123 ↗ | -0.0327 ↗ | +0.1 | GPT-6.1 Sol |
| LMArena Vision (LMArena) | 1290.6 ↗ | 1292.8 ↗ | -2.2 | Muse Spark 1.2 |
| LMArena WebDev (LMArena) | 1757.8 ↗ | 1531.8 ↗ | +226 | GPT-6.1 Sol |
| SAGE (Vals AI) | 46.5% ↗ | 47.7% ↗ | -1.2 pt | Muse Spark 1.2 |
| SimpleBench (SimpleBench) | 82.9% ↗ | 74.5% ↗ | +8.4 pt | GPT-6.1 Sol |
| SimpleQA Verified | 73.9% ↗epoch run | 60.3% ↗epoch run | +13.6 pt | GPT-6.1 Sol |
| Terminal-Bench 4.0 (Vals AI) | 55.1% ↗ | 6.1% ↗ | +49 pt | GPT-6.1 Sol |
| Only GPT-6.1 Sol reports · 8 | ||||
| GPQA Diamond | 95.4% ↗epoch run | not reported | — | — |
| Chess Puzzles (Epoch AI run) | 61% ↗epoch run | not reported | — | — |
| EBR-bench (Epoch AI run) | 54.3% ↗epoch run | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 100% ↗epoch run | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 93.7% ↗epoch run | not reported | — | — |
| Furniture Assembly (Epoch AI run) | 80% ↗epoch run | not reported | — | — |
| Mystery Game Puzzles (Epoch AI run) | 80% ↗epoch run | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 100% ↗epoch run | not reported | — | — |
| Only Muse Spark 1.2 reports · 7 | ||||
| DeepSWE v1.1 | not reported | 59.3% ↗ | — | — |
| DeepSWE v1.1 (Datacurve) | not reported | 54.9% ↗ | — | — |
| FrontierSWE V2 (Proximal Labs) | not reported | 12% ↗ | — | — |
| MCP Atlas | not reported | 90.3% ↗ | — | — |
| Terminal-Bench 2.1 | not reported | 82.9% ↗ | — | — |
| Toolathlon-Verified (HKUST) | not reported | 75.9% ↗ | — | — |
| WeirdML (Håvard Tveit Ihle) | not reported | 60.3% ↗ | — | — |
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-6.1 Sol minus Muse Spark 1.2 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-6.1 Sol | Muse Spark 1.2 | Edge |
|---|---|---|---|
| Context window | 1.1M tokens | 1.0M tokens | GPT-6.1 Sol |
| Max output | 128K tokens | — | — |
| Input price / 1M | $2 ↗ | $1.25 ↗ | Muse Spark 1.2 |
| Output price / 1M | $10 ↗ | $4.25 ↗ | Muse Spark 1.2 |
| Cached input / 1M | $0.1 ↗ | $0.15 ↗ | GPT-6.1 Sol |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $12 | $5.5 | Muse Spark 1.2 |
| Modalities | text · vision | text · vision · video · audio | Muse Spark 1.2 |
| Released | 2026-09-29 | 2026-08-05 | — |
| Cited benchmark scores | 24 | 23 | — |
Reliability
Provider status
Live from /statusMore matchups
GPT-6.1 Sol vs …
Models sharing the most benchmarksMore matchups
Muse Spark 1.2 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GPT-6.1 Sol and Muse Spark 1.2 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.