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Model comparison

DeepSeekMath V2 vs Kimi K2

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.
N/A
No comparison
Kimi K2
Moonshot AI
27.19/100
0 category wins0 category wins

Public leaderboard positions: DeepSeekMath V2 #119 (Estimated); Kimi K2 #189 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeekMath V2 and Kimi K2 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeekMath V2; 14 to Kimi K2.

Updated July 21, 2026
Shared results
0
DeepSeekMath V2 only
0
Kimi K2 only
14
Comparable categories
0 / 8

Benchmark data for DeepSeekMath V2 and Kimi K2 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 DeepSeekMath V2 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 DeepSeekMath V2.

Operational comparison

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

MetricDeepSeekMath V2Kimi K2Comparison
Input / output priceUSD per 1M tokensDeepSeekMath V2$0 input / $0 outputKimi K2$0.6 input / $2.5 outputDeepSeekMath V2 has the lower combined listed price.
Generation speedtokens per secondDeepSeekMath V2Not availableKimi K243 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeekMath V2Not availableKimi K21.51 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeekMath V2128KKimi K2128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeekMath V2Kimi K2Result
τ²-bench resultsSource —61.1%Not comparable
Coding
BenchmarkDeepSeekMath V2Kimi K2Result
AA-SciCodeSource —34.5%Not comparable
Reasoning
BenchmarkDeepSeekMath V2Kimi K2Result
AA-LCRSource —51.0%Not comparable
CritPtSource —0.0%Not comparable
Knowledge
BenchmarkDeepSeekMath V2Kimi 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
BenchmarkDeepSeekMath V2Kimi K2Result
FrontierMath v2 (Tiers 1-3)Source —21.404%Not comparable
FrontierMath v2 (Tier 4)Source —0.000%Not comparable
Multimodal
BenchmarkDeepSeekMath V2Kimi K2Result
Design Arena WebsiteSource —1080Not comparable
Inst. Following
BenchmarkDeepSeekMath V2Kimi K2Result
AA-IFBenchSource —41.5%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeekMath V2 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 DeepSeekMath V2 and Kimi K2 today?

DeepSeekMath V2: $0.00 input / $0.00 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.

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