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Model comparison

1-bit Bonsai 1.7B vs Ornith-1.0-397B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use BenchLM's provisional ranking lane.

Benchmark data for one or both models is coming soon. This page currently shows metadata and pricing where BenchLM has it, and score-level comparisons will populate as public benchmark results land.
N/A
No comparison
DeepReinforce AI
73/100
0 category wins0 category wins

Evidence parity. 1-bit Bonsai 1.7B and Ornith-1.0-397B share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to 1-bit Bonsai 1.7B; 7 to Ornith-1.0-397B.

Updated July 14, 2026
Shared results
0
1-bit Bonsai 1.7B only
0
Ornith-1.0-397B only
7
Comparable categories
0 / 8

Benchmark data for 1-bit Bonsai 1.7B and Ornith-1.0-397B 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.

Ornith-1.0-397B has the larger context window at 256K, 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.

Metric1-bit Bonsai 1.7BOrnith-1.0-397BComparison
Input / output priceUSD per 1M tokens1-bit Bonsai 1.7B$0 input / $0 outputOrnith-1.0-397B$0 input / $0 outputListed prices are equal.
Generation speedtokens per second1-bit Bonsai 1.7BNot availableOrnith-1.0-397BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first token1-bit Bonsai 1.7BNot availableOrnith-1.0-397BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokens1-bit Bonsai 1.7B32KOrnith-1.0-397B256KOrnith-1.0-397B lists the larger context window.

Benchmark Deep Dive

Agentic
Benchmark1-bit Bonsai 1.7BOrnith-1.0-397BResult
Terminal-Bench 2.0Source 77.5%Not comparable
Claw-EvalSource 77.1%Not comparable
Coding
Benchmark1-bit Bonsai 1.7BOrnith-1.0-397BResult
SWE-bench VerifiedSource 82.4%Not comparable
SWE-bench ProSource 62.2%Not comparable
SWE MultilingualSource 78.9%Not comparable
NL2RepoSource 48.2%Not comparable
Terminal-Bench 2.0Source 77.5%Not comparable
Frequently Asked Questions (3)

Can I compare 1-bit Bonsai 1.7B and Ornith-1.0-397B 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 Ornith-1.0-397B today?

1-bit Bonsai 1.7B: $0.00 input / $0.00 output per 1M tokens Ornith-1.0-397B: $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 14, 2026

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