Model comparison
Claude Haiku 4.5 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: Claude Haiku 4.5 #77 (Estimated); Ternary Bonsai 1.7B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Haiku 4.5 and Ternary Bonsai 1.7B share 0 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Claude Haiku 4.5; 0 to Ternary Bonsai 1.7B.
Updated July 21, 2026- Shared results
- 0
- Claude Haiku 4.5 only
- 5
- Ternary Bonsai 1.7B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Claude Haiku 4.5 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.
Claude Haiku 4.5 is priced at $1.00 input / $5.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ternary Bonsai 1.7B. Claude Haiku 4.5 has the larger context window at 200K, 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 | Claude Haiku 4.5 | Ternary Bonsai 1.7B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Haiku 4.5$1 input / $5 output | Ternary Bonsai 1.7B$0 input / $0 output | Ternary Bonsai 1.7B has the lower combined listed price. |
| Generation speedtokens per second | Claude Haiku 4.5Not available | Ternary Bonsai 1.7BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Haiku 4.5Not available | Ternary Bonsai 1.7BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Haiku 4.5200K | Ternary Bonsai 1.7B32K | Claude Haiku 4.5 lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Claude Haiku 4.5 | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| JobBenchSource | 16.0% | — | Not comparable |
Coding1 benchmarks
| Benchmark | Claude Haiku 4.5 | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.3% | — | Not comparable |
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | Claude Haiku 4.5 | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1152 | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Haiku 4.5 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 Claude Haiku 4.5 and Ternary Bonsai 1.7B today?
Claude Haiku 4.5: $1.00 input / $5.00 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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