Model comparison
o3-pro vs Trinity-Large-Thinking
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use BenchLM's provisional ranking lane.
Evidence parity. o3-pro and Trinity-Large-Thinking share 2 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to o3-pro; 18 to Trinity-Large-Thinking.
Updated July 14, 2026- Shared results
- 2
- o3-pro only
- 0
- Trinity-Large-Thinking only
- 18
- Comparable categories
- 0 / 8
Benchmark data for o3-pro and Trinity-Large-Thinking is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results 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.
o3-pro is priced at $20.00 input / $80.00 output per 1M tokens, versus $0.25 input / $0.90 output per 1M tokens for Trinity-Large-Thinking. Trinity-Large-Thinking has the larger context window at 512K, compared with 200K for o3-pro.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | o3-pro | Trinity-Large-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | o3-pro$20 input / $80 output | Trinity-Large-Thinking$0.25 input / $0.9 output | Trinity-Large-Thinking has the lower combined listed price. |
| Generation speedtokens per second | o3-pro27 tok/s | Trinity-Large-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | o3-pro84.93 s | Trinity-Large-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | o3-pro200K | Trinity-Large-Thinking512K | Trinity-Large-Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | o3-pro | Trinity-Large-Thinking | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 32.5% | 24.5% | o3-pro leads |
| AA-GPQA DiamondSource | 84.5% | 75.2% | o3-pro leads |
| GPQA-DSource | — | 76.3% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 83.4% | 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 | o3-pro | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 96.3% | Not comparable |
Multimodal1 benchmarks
| Benchmark | o3-pro | Trinity-Large-Thinking | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1169 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | o3-pro | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 56.3% | Not comparable |
Frequently Asked Questions (3)
Can I compare o3-pro 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 o3-pro and Trinity-Large-Thinking today?
o3-pro: $20.00 input / $80.00 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.
Related Comparisons
Explore More
The AI models change fast. We track them for you.
A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.