Model comparison
Ornith-1.0-397B vs Sarvam 105B
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: Ornith-1.0-397B unranked (Not scored); Sarvam 105B #157 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Ornith-1.0-397B and Sarvam 105B share 0 comparable benchmark results. 0 of 8 categories are comparable. 7 results are unique to Ornith-1.0-397B; 11 to Sarvam 105B.
Updated July 18, 2026- Shared results
- 0
- Ornith-1.0-397B only
- 7
- Sarvam 105B only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Ornith-1.0-397B and Sarvam 105B 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Ornith-1.0-397B has the larger context window at 256K, compared with 128K for Sarvam 105B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Ornith-1.0-397B | Sarvam 105B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Ornith-1.0-397B$0 input / $0 output | Sarvam 105B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Ornith-1.0-397BNot available | Sarvam 105BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Ornith-1.0-397BNot available | Sarvam 105BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Ornith-1.0-397B256K | Sarvam 105B128K | Ornith-1.0-397B lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
Coding6 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Ornith-1.0-397B | Sarvam 105B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 11.9% | Not comparable |
| AA-GPQA DiamondSource | — | 73.8% | Not comparable |
| AA-HLESource | — | 10.1% | Not comparable |
| AA-Omniscience IndexSource | — | -59.5% | Not comparable |
| AA-Omniscience AccuracySource | — | 17.6% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 93.5% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Ornith-1.0-397B | Sarvam 105B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 34.4% | Not comparable |
Frequently Asked Questions (3)
Can I compare Ornith-1.0-397B and Sarvam 105B 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 Ornith-1.0-397B and Sarvam 105B today?
Ornith-1.0-397B: $0.00 input / $0.00 output per 1M tokens Sarvam 105B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Related Comparisons
The AI models change fast. We track them for you.
A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.