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Model comparison

Inkling 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.
Inkling
Thinking Machines Lab
67.54/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: Inkling #20 (Supported); Ternary Bonsai 1.7B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Inkling and Ternary Bonsai 1.7B share 0 comparable benchmark results. 0 of 8 categories are comparable. 32 results are unique to Inkling; 0 to Ternary Bonsai 1.7B.

Updated July 21, 2026
Shared results
0
Inkling only
32
Ternary Bonsai 1.7B only
0
Comparable categories
0 / 8

Benchmark data for Inkling 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.

Inkling is priced at $1.87 input / $4.68 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ternary Bonsai 1.7B. Inkling has the larger context window at 1M, 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.

MetricInklingTernary Bonsai 1.7BComparison
Input / output priceUSD per 1M tokensInkling$1.87 input / $4.68 outputTernary Bonsai 1.7B$0 input / $0 outputTernary Bonsai 1.7B has the lower combined listed price.
Generation speedtokens per secondInklingNot availableTernary Bonsai 1.7BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenInklingNot availableTernary Bonsai 1.7BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensInkling1MTernary Bonsai 1.7B32KInkling lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkInklingTernary Bonsai 1.7BResult
Terminal-Bench 2.0Source 63.8%—Not comparable
BrowseCompSource 77.1%—Not comparable
MCP AtlasSource 74.1%—Not comparable
Design Arena Agentic Web DevSource 1257—Not comparable
AA Agentic IndexSource 32.3%—Not comparable
GDPval-AASource 36.9%—Not comparable
GDPval-AASource 1239—Not comparable
AA BriefcaseSource 836—Not comparable
AA Tau3 BankingSource 23.7%—Not comparable
Coding
BenchmarkInklingTernary Bonsai 1.7BResult
SWE-bench VerifiedSource 77.6%—Not comparable
SWE-bench ProSource 54.3%—Not comparable
Terminal-Bench 2.0Source 63.8%—Not comparable
AA Coding IndexSource 52.1%—Not comparable
AA-SciCodeSource 46.1%—Not comparable
Reasoning
BenchmarkInklingTernary Bonsai 1.7BResult
AA-LCRSource 63.3%—Not comparable
CritPtSource 5.4%—Not comparable
Knowledge
BenchmarkInklingTernary Bonsai 1.7BResult
GPQASource 87.9%—Not comparable
GPQA-DSource 87.9%—Not comparable
HLESource 46%—Not comparable
HLE w/o toolsSource 30%—Not comparable
Artificial Analysis Intelligence IndexSource 40.7%—Not comparable
AA-GPQA DiamondSource 87.2%—Not comparable
AA-HLESource 29.7%—Not comparable
AA-Omniscience IndexSource 2.1%—Not comparable
AA-Omniscience AccuracySource 40.0%—Not comparable
AA-Omniscience Hallucination RateSource 63.1%—Not comparable
Math
BenchmarkInklingTernary Bonsai 1.7BResult
AIME26Source 97.1%—Not comparable
Multimodal
BenchmarkInklingTernary Bonsai 1.7BResult
MMMU-ProSource 73.5%—Not comparable
CharXivSource 82%—Not comparable
CharXiv w/o toolsSource 78.1%—Not comparable
AA-MMMU-ProSource 73.5%—Not comparable
Inst. Following
BenchmarkInklingTernary Bonsai 1.7BResult
IFBenchSource 79.8%—Not comparable
Frequently Asked Questions (3)

Can I compare Inkling 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 Inkling and Ternary Bonsai 1.7B today?

Inkling: $1.87 input / $4.68 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 21, 2026

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