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Model comparison

Kimi K2 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.
Moonshot AI
27.15/100
No comparison
N/A
0 category wins0 category wins

BenchAlign evidence: Kimi K2 supported; Ternary Bonsai 4B not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Kimi K2 and Ternary Bonsai 4B share 0 comparable benchmark results. 0 of 8 categories are comparable. 15 results are unique to Kimi K2; 0 to Ternary Bonsai 4B.

Updated July 16, 2026
Shared results
0
Kimi K2 only
15
Ternary Bonsai 4B only
0
Comparable categories
0 / 8

Benchmark data for Kimi K2 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.

Kimi K2 is priced at $0.60 input / $2.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ternary Bonsai 4B. Kimi K2 has the larger context window at 128K, compared with 32K for Ternary Bonsai 4B.

Operational comparison

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

MetricKimi K2Ternary Bonsai 4BComparison
Input / output priceUSD per 1M tokensKimi K2$0.6 input / $2.5 outputTernary Bonsai 4B$0 input / $0 outputTernary Bonsai 4B has the lower combined listed price.
Generation speedtokens per secondKimi K243 tok/sTernary Bonsai 4BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenKimi K21.51 sTernary Bonsai 4BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensKimi K2128KTernary Bonsai 4B32KKimi K2 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkKimi K2Ternary Bonsai 4BResult
τ²-bench resultsSource 61.1%Not comparable
Coding
BenchmarkKimi K2Ternary Bonsai 4BResult
Terminal-Bench HardSource 15.9%Not comparable
AA-SciCodeSource 34.5%Not comparable
Reasoning
BenchmarkKimi K2Ternary Bonsai 4BResult
AA-LCRSource 51.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkKimi K2Ternary Bonsai 4BResult
Artificial Analysis Intelligence IndexSource 19.4%Not comparable
AA-GPQA DiamondSource 76.6%Not comparable
AA-HLESource 7.0%Not comparable
AA-Omniscience IndexSource -27.5%Not comparable
AA-Omniscience AccuracySource 26.8%Not comparable
AA-Omniscience Hallucination RateSource 74.2%Not comparable
Math
BenchmarkKimi K2Ternary Bonsai 4BResult
FrontierMath v2 (Tiers 1-3)Source 21.404%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkKimi K2Ternary Bonsai 4BResult
Design Arena WebsiteSource 1085Not comparable
Inst. Following
BenchmarkKimi K2Ternary Bonsai 4BResult
AA-IFBenchSource 41.5%Not comparable
Frequently Asked Questions (3)

Can I compare Kimi K2 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 Kimi K2 and Ternary Bonsai 4B today?

Kimi K2: $0.60 input / $2.50 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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