Model comparison
Qwen3.5-27B vs Fugu Cyber
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: Qwen3.5-27B #45 (Supported); Fugu Cyber unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3.5-27B and Fugu Cyber share 0 comparable benchmark results. 0 of 8 categories are comparable. 28 results are unique to Qwen3.5-27B; 2 to Fugu Cyber.
Updated July 21, 2026- Shared results
- 0
- Qwen3.5-27B only
- 28
- Fugu Cyber only
- 2
- Comparable categories
- 0 / 8
Benchmark data for Qwen3.5-27B and Fugu Cyber 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.
Fugu Cyber is priced at $6.00 input / $36.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-27B. Fugu Cyber has the larger context window at 1M, compared with 262K for Qwen3.5-27B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3.5-27B | Fugu Cyber | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3.5-27B$0 input / $0 output | Fugu Cyber$6 input / $36 output | Qwen3.5-27B has the lower combined listed price. |
| Generation speedtokens per second | Qwen3.5-27BNot available | Fugu CyberNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3.5-27BNot available | Fugu CyberNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3.5-27B262K | Fugu Cyber1M | Fugu Cyber lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Qwen3.5-27B | Fugu Cyber | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 41.6% | — | Not comparable |
| BrowseCompSource | 61% | — | Not comparable |
| OSWorld-VerifiedSource | 56.2% | — | Not comparable |
| τ²-bench resultsSource | 93.9% | — | Not comparable |
| Gert LabsSource | 39.41% | — | Not comparable |
| CyberGymSource | — | 86.9% | Not comparable |
| CTI-REALMSource | — | 72.1% | Not comparable |
Coding3 benchmarks
Reasoning3 benchmarks
Knowledge9 benchmarks
| Benchmark | Qwen3.5-27B | Fugu Cyber | Result |
|---|---|---|---|
| MMLU-ProSource | 86.1% | — | Not comparable |
| SuperGPQASource | 65.6% | — | Not comparable |
| GPQASource | 85.5% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 33.8% | — | Not comparable |
| AA-GPQA DiamondSource | 85.8% | — | Not comparable |
| AA-HLESource | 22.2% | — | Not comparable |
| AA-Omniscience IndexSource | -42.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 21.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 79.7% | — | Not comparable |
Multilingual1 benchmarks
| Benchmark | Qwen3.5-27B | Fugu Cyber | Result |
|---|---|---|---|
| MMLU-ProXSource | 82.2% | — | Not comparable |
Multimodal5 benchmarks
Frequently Asked Questions (3)
Can I compare Qwen3.5-27B and Fugu Cyber 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 Qwen3.5-27B and Fugu Cyber today?
Qwen3.5-27B: $0.00 input / $0.00 output per 1M tokens Fugu Cyber: $6.00 input / $36.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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