# GLM-4.7 vs Sakana Fugu

> Side-by-side benchmark comparison for GLM-4.7 and Sakana Fugu across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-4-7-vs-sakana-fugu
- Last updated: September 27, 2026

- Shared sourced benchmarks: 1
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.7

## Quick Verdict

Evidence is too thin for a benchmark verdict: GLM-4.7 and Sakana Fugu share only 1 sourced benchmark row.

## Summary

- Only 1 shared sourced benchmark row is available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- Sakana Fugu has the lower published output-token price.
- Sakana Fugu has the larger published context window at 1M.

## Model Snapshot

| Property | GLM-4.7 | Sakana Fugu |
|----------|----------|----------|
| Creator | Z.AI | Sakana AI |
| Type | Open Weight | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 200K | 1M |
| Independent public score (not head-to-head) | 49.23 | null |
| Benchmarks Covered | 17 | 11 |
| Pricing (input/output) | $0.00 / $0.00 | Pricing unavailable / Pricing unavailable |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- GLM-4.7 public-lane score: 27 (Estimated · #75/105)
- Sakana Fugu public-lane score: Coming soon

| Benchmark | GLM-4.7 | Sakana Fugu | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 41% | Coming soon | Coming soon |
| BrowseComp | 52% | Coming soon | Coming soon |
| VITA-Bench | 15.5% | Coming soon | Coming soon |
| Gert Labs | 39.95% | Coming soon | Coming soon |
| Terminal-Bench 2.1 | Coming soon | 80.2% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- GLM-4.7 public-lane score: 39.6 (Supported · #56/135)
- Sakana Fugu public-lane score: Coming soon

| Benchmark | GLM-4.7 | Sakana Fugu | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 73.8% | Coming soon | Coming soon |
| LiveCodeBench | 84.9% | Coming soon | Coming soon |
| SWE-Rebench | 58.7% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 82.2% | Coming soon | Coming soon |
| SWE-bench (Vals) | 69.4% | Coming soon | Coming soon |
| SWE-bench Pro | Coming soon | 59% | Coming soon |
| Terminal-Bench 2.1 | Coming soon | 80.2% | Coming soon |
| LiveCodeBench v6 | Coming soon | 92.9% | Coming soon |
| LiveCodeBench Pro | Coming soon | 87.8% | Coming soon |
| SciCode | Coming soon | 60.1% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- GLM-4.7 public-lane score: 70.9 (Unranked · 2 rankable rows)
- Sakana Fugu public-lane score: 70.6 (Unranked · 1 rankable row)

| Benchmark | GLM-4.7 | Sakana Fugu | Winner |
|-----------|-----------|-----------|--------|
| MRCRv2 | Coming soon | 86.6% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- GLM-4.7 public-lane score: Coming soon
- Sakana Fugu public-lane score: 68.6 (Unranked · 1 rankable row)

| Benchmark | GLM-4.7 | Sakana Fugu | Winner |
|-----------|-----------|-----------|--------|
| CharXiv | Coming soon | 85.1% | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- GLM-4.7 public-lane score: 40.6 (Supported · #89/158)
- Sakana Fugu public-lane score: Coming soon

| Benchmark | GLM-4.7 | Sakana Fugu | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 85.7% | 95.5% | Sakana Fugu |
| MMLU-Pro | 84.3% | Coming soon | Coming soon |
| HLE | 24.8% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 80.1% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 82.7% | Coming soon | Coming soon |
| GPQA-D | Coming soon | 95.5% | Coming soon |
| HLE w/o tools | Coming soon | 47.2% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- GLM-4.7 public-lane score: 81.4 (#51/124)
- Sakana Fugu public-lane score: Coming soon

### Mathematics

- Winner: Insufficient shared evidence
- GLM-4.7 public-lane score: 25.8 (Unranked · 2 rankable rows)
- Sakana Fugu public-lane score: Coming soon

| Benchmark | GLM-4.7 | Sakana Fugu | Winner |
|-----------|-----------|-----------|--------|
| AIME 2025 | 95.7% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 2.439% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 0.000% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between GLM-4.7 and Sakana Fugu?

Not yet. The models share only 1 sourced benchmark row, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

- [GLM-4.7 vs Sakana Fugu-Ultra](/compare/glm-4-7-vs-sakana-fugu-ultra)
- [Sakana Fugu vs Sakana Fugu-Ultra](/compare/sakana-fugu-vs-sakana-fugu-ultra)
- [GLM-4.7 vs Fugu Cyber](/compare/glm-4-7-vs-sakana-fugu-cyber)
- [Sakana Fugu vs Fugu Cyber](/compare/sakana-fugu-vs-sakana-fugu-cyber)

## Explore More

- [GLM-4.7 profile](/models/glm-4-7)
- [Sakana Fugu profile](/models/sakana-fugu)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)