Model comparison
Sarvam 105B 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: Sarvam 105B #157 (Estimated); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Sarvam 105B and Trinity-Large-Preview share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Sarvam 105B; 7 to Trinity-Large-Preview.
Updated July 21, 2026- Shared results
- 11
- Sarvam 105B only
- 0
- Trinity-Large-Preview only
- 7
- Comparable categories
- 0 / 8
Benchmark data for Sarvam 105B 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.
Trinity-Large-Preview is priced at $0.25 input / $1.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Sarvam 105B. Trinity-Large-Preview has the larger context window at 512K, compared with 128K for Sarvam 105B.
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 | Sarvam 105B | Trinity-Large-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Sarvam 105B$0 input / $0 output | Trinity-Large-Preview$0.25 input / $1 output | Sarvam 105B has the lower combined listed price. |
| Generation speedtokens per second | Sarvam 105BNot available | Trinity-Large-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Sarvam 105BNot available | Trinity-Large-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Sarvam 105B128K | Trinity-Large-Preview512K | Trinity-Large-Preview lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
Coding1 benchmarks
| Benchmark | Sarvam 105B | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-SciCodeSource | 26.4% | 36.1% | Trinity-Large-Preview leads |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Sarvam 105B | Trinity-Large-Preview | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 11.9% | 24.5% | Trinity-Large-Preview leads |
| AA-GPQA DiamondSource | 73.8% | 75.2% | Trinity-Large-Preview leads |
| AA-HLESource | 10.1% | 14.7% | Trinity-Large-Preview leads |
| AA-Omniscience IndexSource | -59.5% | -44.2% | Trinity-Large-Preview leads |
| AA-Omniscience AccuracySource | 17.6% | 22.8% | Trinity-Large-Preview leads |
| AA-Omniscience Hallucination RateSource | 93.5% | 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 |
Math1 benchmarks
| Benchmark | Sarvam 105B | Trinity-Large-Preview | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 24.0% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Sarvam 105B | Trinity-Large-Preview | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1165 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Sarvam 105B | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-IFBenchSource | 34.4% | 56.3% | Trinity-Large-Preview leads |
Frequently Asked Questions (3)
Can I compare Sarvam 105B 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 Sarvam 105B and Trinity-Large-Preview today?
Sarvam 105B: $0.00 input / $0.00 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.
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