Model comparison
DeepSeek V3 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: DeepSeek V3 #147 (Supported); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3 and Trinity-Large-Preview share 14 comparable benchmark results. 0 of 8 categories are comparable. 8 results are unique to DeepSeek V3; 4 to Trinity-Large-Preview.
Updated July 21, 2026- Shared results
- 14
- DeepSeek V3 only
- 8
- Trinity-Large-Preview only
- 4
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V3 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.
DeepSeek V3 is priced at $0.27 input / $1.10 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 V3.
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 | DeepSeek V3 | Δ | Trinity-Large-Preview |
|---|---|---|---|
| Coding | DeepSeek V338.9 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Knowledge | DeepSeek V372.7 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Math | DeepSeek V31.7 | MarginNo overlap | Trinity-Large-PreviewNot measured |
| Inst. Following | DeepSeek V386.1 | MarginNo overlap | Trinity-Large-PreviewNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V3 | Trinity-Large-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3$0.27 input / $1.1 output | Trinity-Large-Preview$0.25 input / $1 output | Trinity-Large-Preview has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V3Not available | Trinity-Large-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V3Not available | Trinity-Large-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V3128K | Trinity-Large-Preview512K | Trinity-Large-Preview lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge11 benchmarks
| Benchmark | DeepSeek V3 | Trinity-Large-Preview | Result |
|---|---|---|---|
| GPQASource | 59.1% | — | Not comparable |
| MMLU-ProSource | 75.9% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 14.2% | 24.5% | Trinity-Large-Preview leads |
| AA-GPQA DiamondSource | 55.7% | 75.2% | Trinity-Large-Preview leads |
| AA-HLESource | 3.6% | 14.7% | Trinity-Large-Preview leads |
| AA-Omniscience IndexSource | -41.3% | -44.2% | DeepSeek V3 leads |
| AA-Omniscience AccuracySource | 25.4% | 22.8% | DeepSeek V3 leads |
| AA-Omniscience Hallucination RateSource | 89.4% | 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 |
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V3 | Trinity-Large-Preview | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1150 | 1165 | Trinity-Large-Preview leads |
Frequently Asked Questions (3)
Can I compare DeepSeek V3 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 V3 and Trinity-Large-Preview today?
DeepSeek V3: $0.27 input / $1.10 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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