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Model comparison

Kimi K2 vs Llama 4 Behemoth

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
27.19/100
No comparison
0 category wins0 category wins

Public leaderboard positions: Kimi K2 #189 (Supported); Llama 4 Behemoth #176 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Kimi K2 and Llama 4 Behemoth share 0 comparable benchmark results. 0 of 8 categories are comparable. 14 results are unique to Kimi K2; 0 to Llama 4 Behemoth.

Updated July 21, 2026
Shared results
0
Kimi K2 only
14
Llama 4 Behemoth only
0
Comparable categories
0 / 8

Benchmark data for Kimi K2 and Llama 4 Behemoth 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 Llama 4 Behemoth 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 Llama 4 Behemoth. Kimi K2 has the larger context window at 128K, compared with 32K for Llama 4 Behemoth.

Operational comparison

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

MetricKimi K2Llama 4 BehemothComparison
Input / output priceUSD per 1M tokensKimi K2$0.6 input / $2.5 outputLlama 4 Behemoth$0 input / $0 outputLlama 4 Behemoth has the lower combined listed price.
Generation speedtokens per secondKimi K243 tok/sLlama 4 BehemothNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenKimi K21.51 sLlama 4 BehemothNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensKimi K2128KLlama 4 Behemoth32KKimi K2 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkKimi K2Llama 4 BehemothResult
τ²-bench resultsSource 61.1%Not comparable
Coding
BenchmarkKimi K2Llama 4 BehemothResult
AA-SciCodeSource 34.5%Not comparable
Reasoning
BenchmarkKimi K2Llama 4 BehemothResult
AA-LCRSource 51.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkKimi K2Llama 4 BehemothResult
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 K2Llama 4 BehemothResult
FrontierMath v2 (Tiers 1-3)Source 21.404%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkKimi K2Llama 4 BehemothResult
Design Arena WebsiteSource 1080Not comparable
Inst. Following
BenchmarkKimi K2Llama 4 BehemothResult
AA-IFBenchSource 41.5%Not comparable
Frequently Asked Questions (3)

Can I compare Kimi K2 and Llama 4 Behemoth 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 Llama 4 Behemoth today?

Kimi K2: $0.60 input / $2.50 output per 1M tokens Llama 4 Behemoth: $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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