Agents-A1 vs Muse Spark 1.1
Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
Muse Spark 1.1 leads for most workloads.
Based on BenchLM composite scores, July 2026.
Agents-A1
63
Muse Spark 1.1
78
Pick Muse Spark 1.1 if you want the stronger benchmark profile. Agents-A1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | Agents-A1 | Δ | Muse Spark 1.1 |
|---|---|---|---|
| Knowledge | 47.6 | → 14.5 | 62.1 |
| Agentic | 75.5 | → 4.9 | 80.4 |
| Coding | — | — | 61.5 |
| Reasoning | 60.2 | — | — |
| Multimodal | — | — | 88.4 |
| Inst. Following | 94.8 | — | — |
Operational Comparison
Agents-A1
Muse Spark 1.1
N/A
N/A
N/A
N/A
N/A
N/A
262K
1M
Quick Verdict
Pick Muse Spark 1.1 if you want the stronger benchmark profile. Agents-A1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Muse Spark 1.1 is clearly ahead on the provisional aggregate, 78 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Muse Spark 1.1's sharpest advantage is in knowledge, where it averages 62.1 against 47.6. The single biggest benchmark swing on the page is HLE, 47.6% to 62.1%.
Muse Spark 1.1 gives you the larger context window at 1M, compared with 262K for Agents-A1.
Benchmark Deep Dive
Frequently Asked Questions (3)
Which is better, Agents-A1 or Muse Spark 1.1?
Muse Spark 1.1 is ahead on BenchLM's provisional leaderboard, 78 to 63. The biggest single separator in this matchup is HLE, where the scores are 47.6% and 62.1%.
Which is better for knowledge tasks, Agents-A1 or Muse Spark 1.1?
Muse Spark 1.1 has the edge for knowledge tasks in this comparison, averaging 62.1 versus 47.6. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Agents-A1 or Muse Spark 1.1?
Muse Spark 1.1 has the edge for agentic tasks in this comparison, averaging 80.4 versus 75.5. Agents-A1 stays close enough that the answer can still flip depending on your workload.
Related Comparisons
The AI models change fast. We track them for you.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.