Gemma 4 26B A4B vs Muse Spark
Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
Muse Spark leads for most workloads.
Based on BenchLM composite scores, July 2026.
Gemma 4 26B A4B
57
Muse Spark
76
Pick Muse Spark if you want the stronger benchmark profile. Gemma 4 26B A4B 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 | Gemma 4 26B A4B | Δ | Muse Spark |
|---|---|---|---|
| Multimodal | 73.8 | → 8.7 | 82.5 |
| Knowledge | 43.8 | → 6.6 | 50.4 |
| Agentic | — | — | 59.0 |
| Coding | — | — | 61.7 |
| Reasoning | — | — | 42.5 |
Operational Comparison
Gemma 4 26B A4B
Muse Spark
$0 / $0
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256K
262K
Quick Verdict
Pick Muse Spark if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Muse Spark is clearly ahead on the provisional aggregate, 76 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Muse Spark's sharpest advantage is in multimodal & grounded, where it averages 82.5 against 73.8. The single biggest benchmark swing on the page is HLE, 17.2% to 50.4%.
Muse Spark gives you the larger context window at 262K, compared with 256K for Gemma 4 26B A4B.
Benchmark Deep Dive
Frequently Asked Questions (3)
Which is better, Gemma 4 26B A4B or Muse Spark?
Muse Spark is ahead on BenchLM's provisional leaderboard, 76 to 57. The biggest single separator in this matchup is HLE, where the scores are 17.2% and 50.4%.
Which is better for knowledge tasks, Gemma 4 26B A4B or Muse Spark?
Muse Spark has the edge for knowledge tasks in this comparison, averaging 50.4 versus 43.8. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Gemma 4 26B A4B or Muse Spark?
Muse Spark has the edge for multimodal and grounded tasks in this comparison, averaging 82.5 versus 73.8. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
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