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Model comparison

Claude Sonnet 4.5 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.
53.61/100
No comparison
0 category wins0 category wins

Public leaderboard positions: Claude Sonnet 4.5 #96 (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 Sonnet 4.5 and Ternary Bonsai 1.7B share 0 comparable benchmark results. 0 of 8 categories are comparable. 12 results are unique to Claude Sonnet 4.5; 0 to Ternary Bonsai 1.7B.

Updated July 21, 2026
Shared results
0
Claude Sonnet 4.5 only
12
Ternary Bonsai 1.7B only
0
Comparable categories
0 / 8

Benchmark data for Claude Sonnet 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 Sonnet 4.5 is priced at $3.00 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ternary Bonsai 1.7B. Claude Sonnet 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.

MetricClaude Sonnet 4.5Ternary Bonsai 1.7BComparison
Input / output priceUSD per 1M tokensClaude Sonnet 4.5$3 input / $15 outputTernary Bonsai 1.7B$0 input / $0 outputTernary Bonsai 1.7B has the lower combined listed price.
Generation speedtokens per secondClaude Sonnet 4.5Not availableTernary Bonsai 1.7BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Sonnet 4.5Not availableTernary Bonsai 1.7BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Sonnet 4.5200KTernary Bonsai 1.7B32KClaude Sonnet 4.5 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Sonnet 4.5Ternary Bonsai 1.7BResult
Terminal-Bench 2.0Source 50%Not comparable
OSWorld-VerifiedSource 61.4%Not comparable
VITA-BenchSource 17.0%Not comparable
Gert LabsSource 48.51%Not comparable
JobBenchSource 27.7%Not comparable
Coding
BenchmarkClaude Sonnet 4.5Ternary Bonsai 1.7BResult
SWE-bench VerifiedSource 77.2%Not comparable
Reasoning
BenchmarkClaude Sonnet 4.5Ternary Bonsai 1.7BResult
ARC-AGI-2Source 13.6%Not comparable
Knowledge
BenchmarkClaude Sonnet 4.5Ternary Bonsai 1.7BResult
GPQASource 83.4%Not comparable
Math
BenchmarkClaude Sonnet 4.5Ternary Bonsai 1.7BResult
AIME 2025Source 87%Not comparable
FrontierMath v2 (Tiers 1-3)Source 13.495%Not comparable
FrontierMath v2 (Tier 4)Source 4.167%Not comparable
Multimodal
BenchmarkClaude Sonnet 4.5Ternary Bonsai 1.7BResult
Design Arena WebsiteSource 1219Not comparable
Frequently Asked Questions (3)

Can I compare Claude Sonnet 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 Sonnet 4.5 and Ternary Bonsai 1.7B today?

Claude Sonnet 4.5: $3.00 input / $15.00 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

Last updated: July 21, 2026

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