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Model comparison

GLM-4.5 vs Kimi K2

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

57.56/100
Margin
30.4pts
← winning
Moonshot AI
27.19/100
0 category wins0 category wins

Public leaderboard positions: GLM-4.5 #68 (Estimated); Kimi K2 #189 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-4.5 and Kimi K2 share 1 comparable benchmark result. 0 of 8 categories are comparable. 0 results are unique to GLM-4.5; 13 to Kimi K2.

Updated July 20, 2026
Shared results
1
GLM-4.5 only
0
Kimi K2 only
13
Comparable categories
0 / 8

Benchmark data for GLM-4.5 and Kimi K2 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Kimi K2 is priced at $0.60 input / $2.50 output per 1M tokens, versus $0.60 input / $2.20 output per 1M tokens for GLM-4.5.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for GLM-4.5 and Kimi K2
CategoryGLM-4.5ΔKimi K2
MathGLM-4.5Not measuredMarginNo overlapKimi K216.1

Operational comparison

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

MetricGLM-4.5Kimi K2Comparison
Input / output priceUSD per 1M tokensGLM-4.5$0.6 input / $2.2 outputKimi K2$0.6 input / $2.5 outputGLM-4.5 has the lower combined listed price.
Generation speedtokens per secondGLM-4.551 tok/sKimi K243 tok/sGLM-4.5 has the higher measured throughput.
First-answer latencyseconds to first tokenGLM-4.51.45 sKimi K21.51 sGLM-4.5 reaches the first token sooner.
Context windowmaximum listed tokensGLM-4.5128KKimi K2128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.5Kimi K2Result
τ²-bench resultsSource 61.1%Not comparable
Coding
BenchmarkGLM-4.5Kimi K2Result
AA-SciCodeSource 34.5%Not comparable
Reasoning
BenchmarkGLM-4.5Kimi K2Result
AA-LCRSource 51.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGLM-4.5Kimi K2Result
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
BenchmarkGLM-4.5Kimi K2Result
FrontierMath v2 (Tiers 1-3)Source 21.404%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkGLM-4.5Kimi K2Result
Design Arena WebsiteSource 12021083GLM-4.5 leads
Inst. Following
BenchmarkGLM-4.5Kimi K2Result
AA-IFBenchSource 41.5%Not comparable
Frequently Asked Questions (3)

Can I compare GLM-4.5 and Kimi K2 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 GLM-4.5 and Kimi K2 today?

GLM-4.5: $0.60 input / $2.20 output per 1M tokens Kimi K2: $0.60 input / $2.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 20, 2026

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