MiniMax M2.7 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.
MiniMax M2.7
56
Muse Spark 1.1
78
Pick Muse Spark 1.1 if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | MiniMax M2.7 | Δ | Muse Spark 1.1 |
|---|---|---|---|
| Agentic | 57.0 | → 23.4 | 80.4 |
| Coding | 54.4 | → 7.1 | 61.5 |
| Knowledge | — | — | 62.1 |
| Multimodal | — | — | 88.4 |
Operational Comparison
MiniMax M2.7
Muse Spark 1.1
$0.3 / $1.2
N/A
45 t/s
N/A
2.53s
N/A
200K
1M
Quick Verdict
Pick Muse Spark 1.1 if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Muse Spark 1.1 is clearly ahead on the provisional aggregate, 78 to 56. 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 agentic, where it averages 80.4 against 57. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 57% to 80%.
Muse Spark 1.1 is the reasoning model in the pair, while MiniMax M2.7 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Muse Spark 1.1 gives you the larger context window at 1M, compared with 200K for MiniMax M2.7.
Benchmark Deep Dive
Frequently Asked Questions (3)
Which is better, MiniMax M2.7 or Muse Spark 1.1?
Muse Spark 1.1 is ahead on BenchLM's provisional leaderboard, 78 to 56. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 57% and 80%.
Which is better for coding, MiniMax M2.7 or Muse Spark 1.1?
Muse Spark 1.1 has the edge for coding in this comparison, averaging 61.5 versus 54.4. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, MiniMax M2.7 or Muse Spark 1.1?
Muse Spark 1.1 has the edge for agentic tasks in this comparison, averaging 80.4 versus 57. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Related Comparisons
Explore More
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.