Model comparison
Sarvam 30B vs Ternary Bonsai 1.7B
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: Sarvam 30B #169 (Estimated); Ternary Bonsai 1.7B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Sarvam 30B and Ternary Bonsai 1.7B share 0 comparable benchmark results. 0 of 8 categories are comparable. 11 results are unique to Sarvam 30B; 0 to Ternary Bonsai 1.7B.
Updated July 21, 2026- Shared results
- 0
- Sarvam 30B only
- 11
- Ternary Bonsai 1.7B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Sarvam 30B and Ternary Bonsai 1.7B 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 does not have sourced benchmark coverage for Ternary Bonsai 1.7B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Sarvam 30B has the larger context window at 64K, compared with 32K for Ternary Bonsai 1.7B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Sarvam 30B | Ternary Bonsai 1.7B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Sarvam 30B$0 input / $0 output | Ternary Bonsai 1.7B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Sarvam 30BNot available | Ternary Bonsai 1.7BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Sarvam 30BNot available | Ternary Bonsai 1.7BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Sarvam 30B64K | Ternary Bonsai 1.7B32K | Sarvam 30B lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Sarvam 30B | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 34.5% | — | Not comparable |
Coding1 benchmarks
| Benchmark | Sarvam 30B | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| AA-SciCodeSource | 19.2% | — | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Sarvam 30B | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 6.6% | — | Not comparable |
| AA-GPQA DiamondSource | 63.3% | — | Not comparable |
| AA-HLESource | 7.0% | — | Not comparable |
| AA-Omniscience IndexSource | -72.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 12.7% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 97.0% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Sarvam 30B | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| AA-IFBenchSource | 26.5% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Sarvam 30B and Ternary Bonsai 1.7B 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 30B and Ternary Bonsai 1.7B today?
Sarvam 30B: $0.00 input / $0.00 output per 1M tokens Ternary Bonsai 1.7B: $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.
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