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Model comparison

Llama 4 Maverick 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.
23.49/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: Llama 4 Maverick #191 (Supported); Ternary Bonsai 4B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Llama 4 Maverick and Ternary Bonsai 4B share 0 comparable benchmark results. 0 of 8 categories are comparable. 18 results are unique to Llama 4 Maverick; 0 to Ternary Bonsai 4B.

Updated July 21, 2026
Shared results
0
Llama 4 Maverick only
18
Ternary Bonsai 4B only
0
Comparable categories
0 / 8

Benchmark data for Llama 4 Maverick 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.

Llama 4 Maverick 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.

MetricLlama 4 MaverickTernary Bonsai 4BComparison
Input / output priceUSD per 1M tokensLlama 4 Maverick$0 input / $0 outputTernary Bonsai 4B$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondLlama 4 Maverick121 tok/sTernary Bonsai 4BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLlama 4 Maverick0.95 sTernary Bonsai 4BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensLlama 4 Maverick1MTernary Bonsai 4B32KLlama 4 Maverick lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLlama 4 MaverickTernary Bonsai 4BResult
AA Agentic IndexSource 1.3%Not comparable
τ²-bench resultsSource 17.8%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource -16Not comparable
Coding
BenchmarkLlama 4 MaverickTernary Bonsai 4BResult
AA Coding IndexSource 16.3%Not comparable
AA-SciCodeSource 33.1%Not comparable
Reasoning
BenchmarkLlama 4 MaverickTernary Bonsai 4BResult
AA-LCRSource 46.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkLlama 4 MaverickTernary Bonsai 4BResult
Artificial Analysis Intelligence IndexSource 14.3%Not comparable
AA-GPQA DiamondSource 67.1%Not comparable
AA-HLESource 4.8%Not comparable
AA-Omniscience IndexSource -41.8%Not comparable
AA-Omniscience AccuracySource 24.3%Not comparable
AA-Omniscience Hallucination RateSource 87.3%Not comparable
Math
BenchmarkLlama 4 MaverickTernary Bonsai 4BResult
FrontierMath v2 (Tiers 1-3)Source 0.690%Not comparable
Multimodal
BenchmarkLlama 4 MaverickTernary Bonsai 4BResult
AA-MMMU-ProSource 62.1%Not comparable
Design Arena WebsiteSource 901Not comparable
Inst. Following
BenchmarkLlama 4 MaverickTernary Bonsai 4BResult
AA-IFBenchSource 43.0%Not comparable
Frequently Asked Questions (3)

Can I compare Llama 4 Maverick 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 Llama 4 Maverick and Ternary Bonsai 4B today?

Llama 4 Maverick: $0.00 input / $0.00 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.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Llama 4 Maverick
API / mo$0
Self-host / mo$2,610
Break-even
Ternary Bonsai 4B
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Model the full break-even

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Last updated: July 21, 2026

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