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Model comparison

Kimi K2 vs o1-preview

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.

Moonshot AI
27.19/100
Margin
21.9pts
winning →
49.11/100
0 category wins0 category wins

Public leaderboard positions: Kimi K2 #189 (Supported); o1-preview #123 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Kimi K2 and o1-preview share 1 comparable benchmark result. 0 of 8 categories are comparable. 13 results are unique to Kimi K2; 1 to o1-preview.

Updated July 20, 2026
Shared results
1
Kimi K2 only
13
o1-preview only
1
Comparable categories
0 / 8

Benchmark data for Kimi K2 and o1-preview 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.

o1-preview is priced at $15.00 input / $60.00 output per 1M tokens, versus $0.60 input / $2.50 output per 1M tokens for Kimi K2. o1-preview has the larger context window at 200K, compared with 128K for Kimi K2.

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 Kimi K2 and o1-preview
CategoryKimi K2Δo1-preview
MathKimi K216.1MarginNo overlapo1-previewNot measured

Operational comparison

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

MetricKimi K2o1-previewComparison
Input / output priceUSD per 1M tokensKimi K2$0.6 input / $2.5 outputo1-preview$15 input / $60 outputKimi K2 has the lower combined listed price.
Generation speedtokens per secondKimi K243 tok/so1-previewNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenKimi K21.51 so1-previewNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensKimi K2128Ko1-preview200Ko1-preview lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkKimi K2o1-previewResult
τ²-bench resultsSource 61.1%Not comparable
Coding
BenchmarkKimi K2o1-previewResult
AA-SciCodeSource 34.5%Not comparable
AA Coding IndexSource 34.0%Not comparable
Reasoning
BenchmarkKimi K2o1-previewResult
AA-LCRSource 51.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkKimi K2o1-previewResult
Artificial Analysis Intelligence IndexSource 19.4%17.0%Kimi K2 leads
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 K2o1-previewResult
FrontierMath v2 (Tiers 1-3)Source 21.404%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkKimi K2o1-previewResult
Design Arena WebsiteSource 1083Not comparable
Inst. Following
BenchmarkKimi K2o1-previewResult
AA-IFBenchSource 41.5%Not comparable
Frequently Asked Questions (3)

Can I compare Kimi K2 and o1-preview 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 o1-preview today?

Kimi K2: $0.60 input / $2.50 output per 1M tokens o1-preview: $15.00 input / $60.00 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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