Model comparison
DeepSeek R1 Distill Qwen 32B 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: DeepSeek R1 Distill Qwen 32B #160 (Estimated); Ternary Bonsai 1.7B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek R1 Distill Qwen 32B and Ternary Bonsai 1.7B share 0 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to DeepSeek R1 Distill Qwen 32B; 0 to Ternary Bonsai 1.7B.
Updated July 21, 2026- Shared results
- 0
- DeepSeek R1 Distill Qwen 32B only
- 6
- Ternary Bonsai 1.7B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek R1 Distill Qwen 32B 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.
DeepSeek R1 Distill Qwen 32B has the larger context window at 128K, 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 | DeepSeek R1 Distill Qwen 32B | Ternary Bonsai 1.7B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek R1 Distill Qwen 32B$0 input / $0 output | Ternary Bonsai 1.7B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | DeepSeek R1 Distill Qwen 32B60 tok/s | Ternary Bonsai 1.7BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek R1 Distill Qwen 32B0.84 s | Ternary Bonsai 1.7BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek R1 Distill Qwen 32B128K | Ternary Bonsai 1.7B32K | DeepSeek R1 Distill Qwen 32B lists the larger context window. |
Benchmark Deep Dive
Coding1 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| AA-SciCodeSource | 37.6% | — | Not comparable |
Reasoning1 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| AA-LCRSource | 9.7% | — | Not comparable |
Knowledge3 benchmarks
Inst. Following1 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| AA-IFBenchSource | 22.9% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek R1 Distill Qwen 32B 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 DeepSeek R1 Distill Qwen 32B and Ternary Bonsai 1.7B today?
DeepSeek R1 Distill Qwen 32B: $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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