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Model comparison

GPT-4.1 mini vs Ternary Bonsai 4B

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.
43.91/100
No comparison
N/A
0 category wins0 category wins

BenchAlign evidence: GPT-4.1 mini estimated; Ternary Bonsai 4B not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4.1 mini and Ternary Bonsai 4B share 0 comparable benchmark results. 0 of 8 categories are comparable. 23 results are unique to GPT-4.1 mini; 0 to Ternary Bonsai 4B.

Updated July 16, 2026
Shared results
0
GPT-4.1 mini only
23
Ternary Bonsai 4B only
0
Comparable categories
0 / 8

Benchmark data for GPT-4.1 mini and Ternary Bonsai 4B 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 4B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

GPT-4.1 mini is priced at $0.40 input / $1.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ternary Bonsai 4B. GPT-4.1 mini has the larger context window at 1M, compared with 32K for Ternary Bonsai 4B.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-4.1 miniTernary Bonsai 4BComparison
Input / output priceUSD per 1M tokensGPT-4.1 mini$0.4 input / $1.6 outputTernary Bonsai 4B$0 input / $0 outputTernary Bonsai 4B has the lower combined listed price.
Generation speedtokens per secondGPT-4.1 mini80 tok/sTernary Bonsai 4BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-4.1 mini0.76 sTernary Bonsai 4BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-4.1 mini1MTernary Bonsai 4B32KGPT-4.1 mini lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4.1 miniTernary Bonsai 4BResult
AA Agentic IndexSource 1.7%Not comparable
τ²-bench resultsSource 52.9%Not comparable
GDPval-AASource 0.1%Not comparable
GDPval-AASource 503Not comparable
Coding
BenchmarkGPT-4.1 miniTernary Bonsai 4BResult
SWE-bench VerifiedSource 23.6%Not comparable
AA Coding IndexSource 20.2%Not comparable
Terminal-Bench HardSource 7.6%Not comparable
AA-SciCodeSource 40.4%Not comparable
Reasoning
BenchmarkGPT-4.1 miniTernary Bonsai 4BResult
AA-LCRSource 42.3%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGPT-4.1 miniTernary Bonsai 4BResult
MMLUSource 87.5%Not comparable
GPQASource 64.2%Not comparable
Artificial Analysis Intelligence IndexSource 14.8%Not comparable
AA-GPQA DiamondSource 66.4%Not comparable
AA-HLESource 4.6%Not comparable
AA-Omniscience IndexSource -50.1%Not comparable
AA-Omniscience AccuracySource 17.5%Not comparable
AA-Omniscience Hallucination RateSource 82.0%Not comparable
Math
BenchmarkGPT-4.1 miniTernary Bonsai 4BResult
FrontierMath v2 (Tiers 1-3)Source 4.483%Not comparable
Multimodal
BenchmarkGPT-4.1 miniTernary Bonsai 4BResult
AA-MMMU-ProSource 58.7%Not comparable
Design Arena WebsiteSource 1032Not comparable
Inst. Following
BenchmarkGPT-4.1 miniTernary Bonsai 4BResult
IFEvalSource 88.5%Not comparable
AA-IFBenchSource 38.3%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-4.1 mini and Ternary Bonsai 4B 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 GPT-4.1 mini and Ternary Bonsai 4B today?

GPT-4.1 mini: $0.40 input / $1.60 output per 1M tokens Ternary Bonsai 4B: $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 16, 2026

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