Compare / head-to-head
Claude Opus 4.8vs
Muse Spark
Claude Opus 4.8 leads 6 of 8 shared benchmarks.
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
6 – 2
Claude Opus 4.8 leads
Cheaper per token
—
list price, input + output
Larger context
—
both 1M tokens
Providers
2 providers
Anthropic · Meta
Claude Opus 4.8
Anthropic · released 2026-05-28
textvision
Muse Spark
Meta · released 2026-04-08
textvision
- Context
- —
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 19 · 8 core
Quality
Benchmark matrix
8 shared · 32 only Claude Opus 4.8 · 10 only Muse Spark| Benchmark | Claude Opus 4.8 | Muse Spark | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 8 | ||||
| SWE-bench Verified | 88.6% ↗ | 77.4% ↗ | +11.2 pt | Claude Opus 4.8 |
| GPQA Diamond | 93.6% ↗ | 89.5% ↗ | +4.1 pt | Claude Opus 4.8 |
| Humanity's Last Exam (no tools) | 49.8% ↗ | 42.8% ↗ | +7 pt | Claude Opus 4.8 |
| LMArena Elo | 1452.7 ↗ | 1489.3 ↗ | -36.6 | Muse Spark |
| Humanity's Last Exam (with tools) | 57.9% ↗ | 50.4% ↗ | +7.5 pt | Claude Opus 4.8 |
| LMArena Vision (LMArena) | 1286.4 ↗ | 1293.6 ↗ | -7.2 | Muse Spark |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 98.3% ↗epoch run | 88.9% ↗epoch run | +9.4 pt | Claude Opus 4.8 |
| SWE-Bench Pro | 69.2% ↗ | 52.4% ↗ | +16.8 pt | Claude Opus 4.8 |
| Only Claude Opus 4.8 reports · 32 | ||||
| AIME 2026 | 100% ↗matharena ⚠ | not reported | — | — |
| APEX-Agents (Mercor) | 48.9% ↗ | not reported | — | — |
| BrowseComp | 84.3% ↗ | not reported | — | — |
| Chess Puzzles (Epoch AI run) | 34% ↗epoch run | not reported | — | — |
| DeepSWE v1.1 (Datacurve) | 59% ↗ | not reported | — | — |
| EBR-bench (Epoch AI run) | 28.6% ↗epoch run | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 56.1% ↗epoch run | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 80% ↗epoch run | not reported | — | — |
| Furniture Assembly (Epoch AI run) | 42.5% ↗epoch run | not reported | — | — |
| GSO Opt@1 (GSO) | 47.1% ↗ | not reported | — | — |
| LiveBench Agentic Coding (LiveBench) | 50.5% ↗ | not reported | — | — |
| LiveBench Coding (LiveBench) | 81.8% ↗ | not reported | — | — |
| LiveBench Data Analysis (LiveBench) | 66% ↗ | not reported | — | — |
| LiveBench Instruction Following (LiveBench) | 72% ↗ | not reported | — | — |
| LiveBench Language (LiveBench) | 79.7% ↗ | not reported | — | — |
| LiveBench Mathematics (LiveBench) | 94.3% ↗ | not reported | — | — |
| LiveBench Reasoning (LiveBench) | 89.2% ↗ | not reported | — | — |
| LMArena Agent (LMArena) | 0.0664 ↗ | not reported | — | — |
| LMArena WebDev (LMArena) | 1555.5 ↗ | not reported | — | — |
| Mystery Game Puzzles (Epoch AI run) | 36% ↗epoch run | not reported | — | — |
| OSWorld-Verified | 83.4% ↗ | not reported | — | — |
| SAGE (Vals AI) | 54.8% ↗ | not reported | — | — |
| SimpleBench (SimpleBench) | 64.8% ↗ | not reported | — | — |
| SimpleQA Verified | 53% ↗epoch run | not reported | — | — |
| SWE-bench Multilingual | 84.4% ↗ | not reported | — | — |
| SWE-bench Multimodal | 38.4% ↗ | not reported | — | — |
| tau2-bench Banking Knowledge (Sierra) | 39.7% ↗ | not reported | — | — |
| Terminal-Bench 2.1 | 74.6% ↗ | not reported | — | — |
| Terminal-Bench 4.0 (Vals AI) | 23.2% ↗ | not reported | — | — |
| Toolathlon-Verified (HKUST) | 76.2% ↗ | not reported | — | — |
| Vending-Bench 2 (Andon Labs) | 5787.43 ↗ | not reported | — | — |
| WeirdML (Håvard Tveit Ihle) | 82.9% ↗ | not reported | — | — |
| Only Muse Spark reports · 10 | ||||
| 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% ↗ | — | — |
| LiveCodeBench Pro | not reported | 80% ↗ | — | — |
| 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% ↗ | — | — |
| 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 Claude Opus 4.8 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 | Claude Opus 4.8 | Muse Spark | Edge |
|---|---|---|---|
| Context window | 1M tokens | — | — |
| Max output | 128K tokens | — | — |
| Input price / 1M | $5 ↗ | — | — |
| Output price / 1M | $25 ↗ | — | — |
| Cached input / 1M | $0.5 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $30 | — | — |
| Modalities | text · vision | text · vision | Tie |
| Released | 2026-05-28 | 2026-04-08 | — |
| Cited benchmark scores | 47 | 19 | — |
Reliability
Provider status
Live from /statusMore matchups
Claude Opus 4.8 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 Claude Opus 4.8 and Muse Spark on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.