Model comparison
Llama 3.1 405B vs Trinity-Large-Thinking
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Llama 3.1 405B #102 (Estimated); Trinity-Large-Thinking #100 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Llama 3.1 405B and Trinity-Large-Thinking share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Llama 3.1 405B; 8 to Trinity-Large-Thinking.
Updated July 23, 2026- Shared results
- 11
- Llama 3.1 405B only
- 0
- Trinity-Large-Thinking only
- 8
- Comparable categories
- 0 / 8
Benchmark data for Llama 3.1 405B and Trinity-Large-Thinking is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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.
Trinity-Large-Thinking is priced at $0.25 input / $0.90 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 3.1 405B. Trinity-Large-Thinking has the larger context window at 512K, compared with 128K for Llama 3.1 405B.
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 | Llama 3.1 405B | Trinity-Large-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Llama 3.1 405B$0 input / $0 output | Trinity-Large-Thinking$0.25 input / $0.9 output | Llama 3.1 405B has the lower combined listed price. |
| Generation speedtokens per second | Llama 3.1 405B29 tok/s | Trinity-Large-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Llama 3.1 405B2.19 s | Trinity-Large-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Llama 3.1 405B128K | Trinity-Large-Thinking512K | Trinity-Large-Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Llama 3.1 405B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 8.5% | 24.5% | Trinity-Large-Thinking leads |
| AA-GPQA DiamondSource | 51.5% | 75.2% | Trinity-Large-Thinking leads |
| AA-HLESource | 4.2% | 14.7% | Trinity-Large-Thinking leads |
| AA-Omniscience IndexSource | -17.3% | -44.2% | Llama 3.1 405B leads |
| AA-Omniscience AccuracySource | 22.3% | 22.8% | Trinity-Large-Thinking leads |
| AA-Omniscience Hallucination RateSource | 51.0% | 86.6% | Llama 3.1 405B leads |
| GPQA-DSource | — | 76.3% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 83.4% | Not comparable |
Math1 benchmarks
| Benchmark | Llama 3.1 405B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 96.3% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Llama 3.1 405B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1165 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Llama 3.1 405B | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.0% | 56.3% | Trinity-Large-Thinking leads |
Frequently Asked Questions (3)
Can I compare Llama 3.1 405B 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 Llama 3.1 405B and Trinity-Large-Thinking today?
Llama 3.1 405B: $0.00 input / $0.00 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.
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