Model comparison
Mercury 2 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: Mercury 2 #105 (Supported); Trinity-Large-Thinking #100 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mercury 2 and Trinity-Large-Thinking share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Mercury 2; 19 to Trinity-Large-Thinking.
Updated July 23, 2026- Shared results
- 0
- Mercury 2 only
- 0
- Trinity-Large-Thinking only
- 19
- Comparable categories
- 0 / 8
Benchmark data for Mercury 2 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 does not have sourced benchmark coverage for Mercury 2 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Trinity-Large-Thinking is priced at $0.25 input / $0.90 output per 1M tokens, versus $0.25 input / $0.75 output per 1M tokens for Mercury 2. Trinity-Large-Thinking has the larger context window at 512K, compared with 128K for Mercury 2.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mercury 2 | Trinity-Large-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mercury 2$0.25 input / $0.75 output | Trinity-Large-Thinking$0.25 input / $0.9 output | Mercury 2 has the lower combined listed price. |
| Generation speedtokens per second | Mercury 2789 tok/s | Trinity-Large-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mercury 23.88 s | Trinity-Large-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mercury 2128K | Trinity-Large-Thinking512K | Trinity-Large-Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Mercury 2 | 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 | Mercury 2 | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 96.3% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Mercury 2 | Trinity-Large-Thinking | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1165 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Mercury 2 | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 56.3% | Not comparable |
Frequently Asked Questions (3)
Can I compare Mercury 2 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 Mercury 2 and Trinity-Large-Thinking today?
Mercury 2: $0.25 input / $0.75 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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