Model comparison
Gemini 2.5 Pro vs Trinity-Large-Preview
Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 2.5 Pro #70 (Supported); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 2.5 Pro and Trinity-Large-Preview share 14 comparable benchmark results. 0 of 8 categories are comparable. 10 results are unique to Gemini 2.5 Pro; 4 to Trinity-Large-Preview.
Updated July 21, 2026- Shared results
- 14
- Gemini 2.5 Pro only
- 10
- Trinity-Large-Preview only
- 4
- Comparable categories
- 0 / 8
Benchmark data for Gemini 2.5 Pro and Trinity-Large-Preview is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 14 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.
Gemini 2.5 Pro is priced at $1.25 input / $10.00 output per 1M tokens, versus $0.25 input / $1.00 output per 1M tokens for Trinity-Large-Preview. Gemini 2.5 Pro 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 | Gemini 2.5 Pro | Δ | Trinity-Large-Preview |
|---|---|---|---|
| Coding | Gemini 2.5 Pro63.8 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Knowledge | Gemini 2.5 Pro27.4 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Math | Gemini 2.5 Pro11.6 | MarginNo overlap | Trinity-Large-PreviewNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 2.5 Pro | Trinity-Large-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 2.5 Pro$1.25 input / $10 output | Trinity-Large-Preview$0.25 input / $1 output | Trinity-Large-Preview has the lower combined listed price. |
| Generation speedtokens per second | Gemini 2.5 Pro117 tok/s | Trinity-Large-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 2.5 Pro21.19 s | Trinity-Large-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 2.5 Pro1M | Trinity-Large-Preview512K | Gemini 2.5 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge11 benchmarks
| Benchmark | Gemini 2.5 Pro | Trinity-Large-Preview | Result |
|---|---|---|---|
| GPQASource | 83% | — | Not comparable |
| HLESource | 18.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 25.8% | 24.5% | Gemini 2.5 Pro leads |
| AA-GPQA DiamondSource | 84.4% | 75.2% | Gemini 2.5 Pro leads |
| AA-HLESource | 21.1% | 14.7% | Gemini 2.5 Pro leads |
| AA-Omniscience IndexSource | -14.3% | -44.2% | Gemini 2.5 Pro leads |
| AA-Omniscience AccuracySource | 39.0% | 22.8% | Gemini 2.5 Pro leads |
| AA-Omniscience Hallucination RateSource | 87.4% | 86.6% | Trinity-Large-Preview leads |
| MMLUSource | — | 87.2% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 75.2% | Not comparable |
| GPQA-DSource | — | 63.3% | Not comparable |
Math3 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemini 2.5 Pro | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-IFBenchSource | 48.7% | 56.3% | Trinity-Large-Preview leads |
Frequently Asked Questions (3)
Can I compare Gemini 2.5 Pro 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 Gemini 2.5 Pro and Trinity-Large-Preview today?
Gemini 2.5 Pro: $1.25 input / $10.00 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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