Model comparison
GLM-4.5-Air vs Sakana Fugu-Ultra
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-4.5-Air #133 (Supported); Sakana Fugu-Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.5-Air and Sakana Fugu-Ultra share 0 comparable benchmark results. 0 of 8 categories are comparable. 12 results are unique to GLM-4.5-Air; 11 to Sakana Fugu-Ultra.
Updated July 23, 2026- Shared results
- 0
- GLM-4.5-Air only
- 12
- Sakana Fugu-Ultra only
- 11
- Comparable categories
- 0 / 8
Benchmark data for GLM-4.5-Air and Sakana Fugu-Ultra is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Sakana Fugu-Ultra has the larger context window at 1M, compared with 128K for GLM-4.5-Air.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-4.5-Air | Sakana Fugu-Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.5-Air$0.2 input / $1.1 output | Sakana Fugu-UltraNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GLM-4.5-Air106 tok/s | Sakana Fugu-UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.5-Air1.18 s | Sakana Fugu-UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.5-Air128K | Sakana Fugu-Ultra1M | Sakana Fugu-Ultra lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding6 benchmarks
Reasoning3 benchmarks
Knowledge9 benchmarks
| Benchmark | GLM-4.5-Air | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 16.5% | — | Not comparable |
| AA-GPQA DiamondSource | 73.3% | — | Not comparable |
| AA-HLESource | 6.8% | — | Not comparable |
| AA-Omniscience IndexSource | -62.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 15.5% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 92.3% | — | Not comparable |
| GPQASource | — | 95.5% | Not comparable |
| GPQA-DSource | — | 95.5% | Not comparable |
| HLE w/o toolsSource | — | 50% | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | GLM-4.5-Air | Sakana Fugu-Ultra | Result |
|---|---|---|---|
| AA-IFBenchSource | 37.6% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare GLM-4.5-Air and Sakana Fugu-Ultra on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GLM-4.5-Air and Sakana Fugu-Ultra today?
GLM-4.5-Air: $0.20 input / $1.10 output per 1M tokens Sakana Fugu-Ultra: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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