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Model comparison

Hy3 Preview vs Ternary Bonsai 1.7B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
N/A
No comparison
0 category wins0 category wins

Evidence parity. Hy3 Preview and Ternary Bonsai 1.7B share 0 comparable benchmark results. 0 of 8 categories are comparable. 22 results are unique to Hy3 Preview; 0 to Ternary Bonsai 1.7B.

Updated July 18, 2026
Shared results
0
Hy3 Preview only
22
Ternary Bonsai 1.7B only
0
Comparable categories
0 / 8

Benchmark data for Hy3 Preview 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.

Hy3 Preview has the larger context window at 256K, 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.

MetricHy3 PreviewTernary Bonsai 1.7BComparison
Input / output priceUSD per 1M tokensHy3 Preview$0 input / $0 outputTernary Bonsai 1.7B$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondHy3 PreviewNot availableTernary Bonsai 1.7BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenHy3 PreviewNot availableTernary Bonsai 1.7BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensHy3 Preview256KTernary Bonsai 1.7B32KHy3 Preview lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkHy3 PreviewTernary Bonsai 1.7BResult
Terminal-Bench 2.0Source 54.4%Not comparable
Gert LabsSource 36.91%Not comparable
AA Agentic IndexSource 30.7%Not comparable
GDPval-AASource 35.7%Not comparable
GDPval-AASource 1214Not comparable
Coding
BenchmarkHy3 PreviewTernary Bonsai 1.7BResult
SWE-bench VerifiedSource 74.4%Not comparable
Terminal-Bench 2.0Source 54.4%Not comparable
SciCodeSource 41.2%Not comparable
AA-SciCodeSource 47.6%Not comparable
AA Coding IndexSource 58.8%Not comparable
Reasoning
BenchmarkHy3 PreviewTernary Bonsai 1.7BResult
AA-LCRSource 66.7%Not comparable
CritPtSource 4.9%Not comparable
Knowledge
BenchmarkHy3 PreviewTernary Bonsai 1.7BResult
Artificial Analysis Intelligence IndexSource 41.2%Not comparable
GPQASource 87.2%Not comparable
GPQA-DSource 87.2%Not comparable
HLESource 25.5%Not comparable
AA-Omniscience AccuracySource 31.5%Not comparable
AA-Omniscience Hallucination RateSource 73.0%Not comparable
AA-GPQA DiamondSource 89.7%Not comparable
AA-HLESource 31.6%Not comparable
AA-Omniscience IndexSource -18.5%Not comparable
Inst. Following
BenchmarkHy3 PreviewTernary Bonsai 1.7BResult
IFBenchSource 63.1%Not comparable
Frequently Asked Questions (3)

Can I compare Hy3 Preview 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 Hy3 Preview and Ternary Bonsai 1.7B today?

Hy3 Preview: $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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Last updated: July 18, 2026

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