GLM-4.7 vs Sakana Fugu-Ultra
Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
Sakana Fugu-Ultra leads for most workloads.
Based on BenchLM composite scores, July 2026.
GLM-4.7
63
Sakana Fugu-Ultra
80
Verified leaderboard positions: GLM-4.7 #34 · Sakana Fugu-Ultra unranked
Pick Sakana Fugu-Ultra if you want the stronger benchmark profile. GLM-4.7 only becomes the better choice if coding is the priority.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | GLM-4.7 | Δ | Sakana Fugu-Ultra |
|---|---|---|---|
| Knowledge | 52.1 | → 43.4 | 95.5 |
| Agentic | 45.7 | → 36.4 | 82.1 |
| Coding | 73.8 | ← 4.2 | 69.6 |
| Reasoning | — | — | 93.6 |
| Math | 1.8 | — | — |
| Multimodal | — | — | 86.6 |
Operational Comparison
GLM-4.7
Sakana Fugu-Ultra
$0 / $0
$null / $null
82 t/s
N/A
1.10s
N/A
200K
1M
Quick Verdict
Pick Sakana Fugu-Ultra if you want the stronger benchmark profile. GLM-4.7 only becomes the better choice if coding is the priority.
Sakana Fugu-Ultra is clearly ahead on the provisional aggregate, 80 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Sakana Fugu-Ultra's sharpest advantage is in knowledge, where it averages 95.5 against 52.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 41% to 82.1%. GLM-4.7 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Sakana Fugu-Ultra gives you the larger context window at 1M, compared with 200K for GLM-4.7.
Benchmark Deep Dive
Frequently Asked Questions (4)
Which is better, GLM-4.7 or Sakana Fugu-Ultra?
Sakana Fugu-Ultra is ahead on BenchLM's provisional leaderboard, 80 to 63. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 41% and 82.1%.
Which is better for knowledge tasks, GLM-4.7 or Sakana Fugu-Ultra?
Sakana Fugu-Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 52.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for coding, GLM-4.7 or Sakana Fugu-Ultra?
GLM-4.7 has the edge for coding in this comparison, averaging 73.8 versus 69.6. Sakana Fugu-Ultra stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, GLM-4.7 or Sakana Fugu-Ultra?
Sakana Fugu-Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 45.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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