Model comparison
1-bit Bonsai 1.7B vs Nemotron 3 Ultra
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. 1-bit Bonsai 1.7B and Nemotron 3 Ultra share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to 1-bit Bonsai 1.7B; 38 to Nemotron 3 Ultra.
Updated July 21, 2026- Shared results
- 0
- 1-bit Bonsai 1.7B only
- 0
- Nemotron 3 Ultra only
- 38
- Comparable categories
- 0 / 8
Benchmark data for 1-bit Bonsai 1.7B and Nemotron 3 Ultra 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 1-bit Bonsai 1.7B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Nemotron 3 Ultra has the larger context window at 1M, compared with 32K for 1-bit Bonsai 1.7B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | 1-bit Bonsai 1.7B | Nemotron 3 Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | 1-bit Bonsai 1.7B$0 input / $0 output | Nemotron 3 Ultra$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | 1-bit Bonsai 1.7BNot available | Nemotron 3 UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | 1-bit Bonsai 1.7BNot available | Nemotron 3 UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | 1-bit Bonsai 1.7B32K | Nemotron 3 Ultra1M | Nemotron 3 Ultra lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | 1-bit Bonsai 1.7B | Nemotron 3 Ultra | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 56.4% | Not comparable |
| PinchBenchSource | — | 90.0% | Not comparable |
| BrowseCompSource | — | 44.4% | Not comparable |
| τ³-bench resultsSource | — | 70.9% | Not comparable |
| GDPval-AASource | — | 33.2% | Not comparable |
| HLE w/ toolsSource | — | 37.4% | Not comparable |
| AA Agentic IndexSource | — | 27.4% | Not comparable |
| τ²-bench resultsSource | — | 83.3% | Not comparable |
| GDPval-AASource | — | 1164 | Not comparable |
| AA BriefcaseSource | — | 870 | Not comparable |
| AA EnterpriseOps-GymSource | — | 28.9% | Not comparable |
| AA Harvey LABSource | — | 81.7% | Not comparable |
| terminalBenchHardSource | — | 36.4% | Not comparable |
Coding6 benchmarks
Reasoning3 benchmarks
Knowledge12 benchmarks
| Benchmark | 1-bit Bonsai 1.7B | Nemotron 3 Ultra | Result |
|---|---|---|---|
| GPQASource | — | 87% | Not comparable |
| GPQA-DSource | — | 87.0% | Not comparable |
| HLESource | — | 26.7% | Not comparable |
| HLE w/o toolsSource | — | 26.7% | Not comparable |
| MMLU-ProSource | — | 86.8% | Not comparable |
| AA-Omniscience AccuracySource | — | 21.6% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 37.8% | Not comparable |
| AA-GPQA DiamondSource | — | 86.7% | Not comparable |
| AA-HLESource | — | 26.6% | Not comparable |
| AA-Omniscience IndexSource | — | -0.8% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 28.5% | Not comparable |
| AA Openness IndexSource | — | 83.3% | Not comparable |
Multilingual1 benchmarks
| Benchmark | 1-bit Bonsai 1.7B | Nemotron 3 Ultra | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 83% | Not comparable |
Multimodal1 benchmarks
| Benchmark | 1-bit Bonsai 1.7B | Nemotron 3 Ultra | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1129 | Not comparable |
Frequently Asked Questions (3)
Can I compare 1-bit Bonsai 1.7B and Nemotron 3 Ultra 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 1-bit Bonsai 1.7B and Nemotron 3 Ultra today?
1-bit Bonsai 1.7B: $0.00 input / $0.00 output per 1M tokens Nemotron 3 Ultra: $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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