Model comparison
Fugu Cyber vs Trinity-Large-Thinking
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: Fugu Cyber unranked (Not scored); Trinity-Large-Thinking #100 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Fugu Cyber and Trinity-Large-Thinking share 0 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Fugu Cyber; 19 to Trinity-Large-Thinking.
Updated July 21, 2026- Shared results
- 0
- Fugu Cyber only
- 2
- Trinity-Large-Thinking only
- 19
- Comparable categories
- 0 / 8
Benchmark data for Fugu Cyber and Trinity-Large-Thinking 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 $0.25 input / $0.90 output per 1M tokens for Trinity-Large-Thinking. Fugu Cyber has the larger context window at 1M, compared with 512K for Trinity-Large-Thinking.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Fugu Cyber | Trinity-Large-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Fugu Cyber$6 input / $36 output | Trinity-Large-Thinking$0.25 input / $0.9 output | Trinity-Large-Thinking has the lower combined listed price. |
| Generation speedtokens per second | Fugu CyberNot available | Trinity-Large-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Fugu CyberNot available | Trinity-Large-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Fugu Cyber1M | Trinity-Large-Thinking512K | Fugu Cyber lists the larger context window. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Fugu Cyber | Trinity-Large-Thinking | Result |
|---|---|---|---|
| GPQA-DSource | — | 76.3% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 83.4% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 24.5% | Not comparable |
| AA-GPQA DiamondSource | — | 75.2% | Not comparable |
| AA-HLESource | — | 14.7% | Not comparable |
| AA-Omniscience IndexSource | — | -44.2% | Not comparable |
| AA-Omniscience AccuracySource | — | 22.8% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 86.6% | Not comparable |
Math1 benchmarks
| Benchmark | Fugu Cyber | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 96.3% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Fugu Cyber | Trinity-Large-Thinking | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1165 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Fugu Cyber | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 56.3% | Not comparable |
Frequently Asked Questions (3)
Can I compare Fugu Cyber and Trinity-Large-Thinking 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 Fugu Cyber and Trinity-Large-Thinking today?
Fugu Cyber: $6.00 input / $36.00 output per 1M tokens Trinity-Large-Thinking: $0.25 input / $0.90 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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