Model comparison
DeepSeek V3.1 (Reasoning) 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 V3.1 (Reasoning) #97 (Supported); Ternary Bonsai 1.7B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.1 (Reasoning) and Ternary Bonsai 1.7B share 0 comparable benchmark results. 0 of 8 categories are comparable. 12 results are unique to DeepSeek V3.1 (Reasoning); 0 to Ternary Bonsai 1.7B.
Updated July 21, 2026- Shared results
- 0
- DeepSeek V3.1 (Reasoning) only
- 12
- Ternary Bonsai 1.7B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V3.1 (Reasoning) 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 V3.1 (Reasoning) 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 V3.1 (Reasoning) | Ternary Bonsai 1.7B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.1 (Reasoning)$0 input / $0 output | Ternary Bonsai 1.7B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | DeepSeek V3.1 (Reasoning)Not available | Ternary Bonsai 1.7BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V3.1 (Reasoning)Not available | Ternary Bonsai 1.7BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V3.1 (Reasoning)128K | Ternary Bonsai 1.7B32K | DeepSeek V3.1 (Reasoning) lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | DeepSeek V3.1 (Reasoning) | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 37.4% | — | Not comparable |
Coding1 benchmarks
| Benchmark | DeepSeek V3.1 (Reasoning) | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| AA-SciCodeSource | 39.1% | — | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | DeepSeek V3.1 (Reasoning) | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 20.7% | — | Not comparable |
| AA-GPQA DiamondSource | 77.9% | — | Not comparable |
| AA-HLESource | 13.0% | — | Not comparable |
| AA-Omniscience IndexSource | -28.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 28.8% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 80.3% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek V3.1 (Reasoning) | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1152 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V3.1 (Reasoning) | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.5% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek V3.1 (Reasoning) 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 V3.1 (Reasoning) and Ternary Bonsai 1.7B today?
DeepSeek V3.1 (Reasoning): $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.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.