Model comparison
DeepSeek-R1 vs Trinity-Large-Preview
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: DeepSeek-R1 #103 (Supported); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek-R1 and Trinity-Large-Preview share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek-R1; 7 to Trinity-Large-Preview.
Updated July 21, 2026- Shared results
- 11
- DeepSeek-R1 only
- 0
- Trinity-Large-Preview only
- 7
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek-R1 and Trinity-Large-Preview 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.
DeepSeek-R1 is priced at $0.55 input / $2.19 output per 1M tokens, versus $0.25 input / $1.00 output per 1M tokens for Trinity-Large-Preview. Trinity-Large-Preview has the larger context window at 512K, compared with 128K for DeepSeek-R1.
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 | DeepSeek-R1 | Trinity-Large-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek-R1$0.55 input / $2.19 output | Trinity-Large-Preview$0.25 input / $1 output | Trinity-Large-Preview has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek-R1Not available | Trinity-Large-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek-R1Not available | Trinity-Large-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek-R1128K | Trinity-Large-Preview512K | Trinity-Large-Preview lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
Coding1 benchmarks
| Benchmark | DeepSeek-R1 | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-SciCodeSource | 40.3% | 36.1% | DeepSeek-R1 leads |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | DeepSeek-R1 | Trinity-Large-Preview | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 20.1% | 24.5% | Trinity-Large-Preview leads |
| AA-GPQA DiamondSource | 81.3% | 75.2% | DeepSeek-R1 leads |
| AA-HLESource | 14.9% | 14.7% | DeepSeek-R1 leads |
| AA-Omniscience IndexSource | -27.1% | -44.2% | DeepSeek-R1 leads |
| AA-Omniscience AccuracySource | 31.0% | 22.8% | DeepSeek-R1 leads |
| AA-Omniscience Hallucination RateSource | 84.0% | 86.6% | DeepSeek-R1 leads |
| MMLUSource | — | 87.2% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 75.2% | Not comparable |
| GPQA-DSource | — | 63.3% | Not comparable |
Math1 benchmarks
| Benchmark | DeepSeek-R1 | Trinity-Large-Preview | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 24.0% | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek-R1 | Trinity-Large-Preview | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1165 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek-R1 | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.6% | 56.3% | Trinity-Large-Preview leads |
Frequently Asked Questions (3)
Can I compare DeepSeek-R1 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 DeepSeek-R1 and Trinity-Large-Preview today?
DeepSeek-R1: $0.55 input / $2.19 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.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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