Model comparison
Claude Fable 5 vs Trinity-Large-Preview
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Fable 5 #3 (Supported); Trinity-Large-Preview #85 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Fable 5 and Trinity-Large-Preview share 16 comparable benchmark results. 0 of 8 categories are comparable. 18 results are unique to Claude Fable 5; 4 to Trinity-Large-Preview.
Updated July 24, 2026- Shared results
- 16
- Claude Fable 5 only
- 18
- Trinity-Large-Preview only
- 4
- Comparable categories
- 0 / 8
Benchmark data for Claude Fable 5 and Trinity-Large-Preview is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 16 shared benchmark results across 6 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.
Claude Fable 5 is priced at $10.00 input / $50.00 output per 1M tokens, versus $0.25 input / $1.00 output per 1M tokens for Trinity-Large-Preview. Claude Fable 5 has the larger context window at 1M+, compared with 512K for Trinity-Large-Preview.
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 Fable 5 | Δ | Trinity-Large-Preview |
|---|---|---|---|
| Agentic | Claude Fable 584.6 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Coding | Claude Fable 589.2 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Multimodal | Claude Fable 557.9 | 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 Fable 5 | Trinity-Large-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Fable 5$10 input / $50 output | Trinity-Large-Preview$0.25 input / $1 output | Trinity-Large-Preview has the lower combined listed price. |
| Generation speedtokens per second | Claude Fable 5Not available | Trinity-Large-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Fable 5Not available | Trinity-Large-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Fable 51M+ | Trinity-Large-Preview512K | Claude Fable 5 lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | Claude Fable 5 | Trinity-Large-Preview | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 84.3% | — | Not comparable |
| OSWorld-VerifiedSource | 85% | — | Not comparable |
| GDPval-AASource | 1747 | 564 | Claude Fable 5 leads |
| AA Agentic IndexSource | 52.8% | 3.6% | Claude Fable 5 leads |
| τ²-bench resultsSource | 98.5% | 90.1% | Claude Fable 5 leads |
| GDPval-AASource | 62.3% | 3.2% | Claude Fable 5 leads |
| AA BriefcaseSource | 1574 | — | Not comparable |
| AA AutomationBenchSource | 48.6% | — | Not comparable |
| AA EnterpriseOps-GymSource | 51.1% | — | Not comparable |
| AA Harvey LABSource | 93.6% | — | Not comparable |
| AA Tau3 BankingSource | 26.8% | — | Not comparable |
| terminalBenchHardSource | 62.9% | — | Not comparable |
| aaTerminalBench21Source | 84.6% | — | Not comparable |
Coding9 benchmarks
| Benchmark | Claude Fable 5 | Trinity-Large-Preview | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 95% | — | Not comparable |
| SWE-bench ProSource | 80% | — | Not comparable |
| FrontierCode 1.1 MainSource | 53.5% | — | Not comparable |
| Terminal-Bench 2.0Source | 84.3% | — | Not comparable |
| cursorBench31Source | 70.6% | — | Not comparable |
| cursorBench32Source | 70.5% | — | Not comparable |
| VulcanBench v3Source | 87.0% | — | Not comparable |
| AA Coding IndexSource | 76.5% | 25.8% | Claude Fable 5 leads |
| AA-SciCodeSource | 60.2% | 36.1% | Claude Fable 5 leads |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Claude Fable 5 | Trinity-Large-Preview | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 59.9% | 18.2% | Claude Fable 5 leads |
| AA-GPQA DiamondSource | 92.6% | 75.2% | Claude Fable 5 leads |
| AA-HLESource | 53.3% | 14.7% | Claude Fable 5 leads |
| AA-Omniscience IndexSource | 40.2% | -44.2% | Claude Fable 5 leads |
| AA-Omniscience AccuracySource | 61.4% | 22.8% | Claude Fable 5 leads |
| AA-Omniscience Hallucination RateSource | 54.9% | 86.6% | Claude Fable 5 leads |
| MMLUSource | — | 87.2% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 75.2% | Not comparable |
| GPQA-DSource | — | 63.3% | Not comparable |
Math1 benchmarks
| Benchmark | Claude Fable 5 | Trinity-Large-Preview | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 24.0% | Not comparable |
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Fable 5 | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-IFBenchSource | 63.5% | 56.3% | Claude Fable 5 leads |
Frequently Asked Questions (3)
Can I compare Claude Fable 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 Fable 5 and Trinity-Large-Preview today?
Claude Fable 5: $10.00 input / $50.00 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.