Model comparison
Claude Sonnet 4.5 vs Trinity-Large-Preview
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 4.5 #96 (Estimated); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.5 and Trinity-Large-Preview share 1 comparable benchmark result. 0 of 8 categories are comparable. 11 results are unique to Claude Sonnet 4.5; 17 to Trinity-Large-Preview.
Updated July 21, 2026- Shared results
- 1
- Claude Sonnet 4.5 only
- 11
- Trinity-Large-Preview only
- 17
- Comparable categories
- 0 / 8
Benchmark data for Claude Sonnet 4.5 and Trinity-Large-Preview is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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.
Claude Sonnet 4.5 is priced at $3.00 input / $15.00 output per 1M tokens, versus $0.25 input / $1.00 output per 1M tokens for Trinity-Large-Preview. Trinity-Large-Preview has the larger context window at 512K, compared with 200K for Claude Sonnet 4.5.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Claude Sonnet 4.5 | Δ | Trinity-Large-Preview |
|---|---|---|---|
| Agentic | Claude Sonnet 4.555.4 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Coding | Claude Sonnet 4.577.2 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Reasoning | Claude Sonnet 4.513.6 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Knowledge | Claude Sonnet 4.583.4 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Math | Claude Sonnet 4.511.2 | MarginNo overlap | Trinity-Large-PreviewNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 4.5 | Trinity-Large-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.5$3 input / $15 output | Trinity-Large-Preview$0.25 input / $1 output | Trinity-Large-Preview has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 4.5Not available | Trinity-Large-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 4.5Not available | Trinity-Large-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 4.5200K | Trinity-Large-Preview512K | Trinity-Large-Preview lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Claude Sonnet 4.5 | Trinity-Large-Preview | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 50% | — | Not comparable |
| OSWorld-VerifiedSource | 61.4% | — | Not comparable |
| VITA-BenchSource | 17.0% | — | Not comparable |
| Gert LabsSource | 48.51% | — | Not comparable |
| JobBenchSource | 27.7% | — | Not comparable |
| τ²-bench resultsSource | — | 90.1% | Not comparable |
| GDPval-AASource | — | 2.7% | Not comparable |
| GDPval-AASource | — | 554 | Not comparable |
Coding2 benchmarks
Reasoning3 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Sonnet 4.5 | Trinity-Large-Preview | Result |
|---|---|---|---|
| GPQASource | 83.4% | — | Not comparable |
| MMLUSource | — | 87.2% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 75.2% | Not comparable |
| GPQA-DSource | — | 63.3% | 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 |
Math4 benchmarks
Multimodal1 benchmarks
| Benchmark | Claude Sonnet 4.5 | Trinity-Large-Preview | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1219 | 1165 | Claude Sonnet 4.5 leads |
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 4.5 | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 56.3% | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Sonnet 4.5 and Trinity-Large-Preview 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 Claude Sonnet 4.5 and Trinity-Large-Preview today?
Claude Sonnet 4.5: $3.00 input / $15.00 output per 1M tokens Trinity-Large-Preview: $0.25 input / $1.00 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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