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Model comparison

DeepSeek Coder 2.0 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
Moonshot AI
27.19/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek Coder 2.0 #114 (Estimated); Kimi K2 #189 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek Coder 2.0 and Kimi K2 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek Coder 2.0; 14 to Kimi K2.

Updated July 22, 2026
Shared results
0
DeepSeek Coder 2.0 only
0
Kimi K2 only
14
Comparable categories
0 / 8

Benchmark data for DeepSeek Coder 2.0 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 DeepSeek Coder 2.0 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Operational comparison

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

MetricDeepSeek Coder 2.0Kimi K2Comparison
Input / output priceUSD per 1M tokensDeepSeek Coder 2.0Not availableKimi K2$0.6 input / $2.5 outputA complete price comparison is not available.
Generation speedtokens per secondDeepSeek Coder 2.0Not availableKimi K243 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek Coder 2.0Not availableKimi K21.51 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek Coder 2.0128KKimi K2128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek Coder 2.0Kimi K2Result
τ²-bench resultsSource 61.1%Not comparable
Coding
BenchmarkDeepSeek Coder 2.0Kimi K2Result
AA-SciCodeSource 34.5%Not comparable
Reasoning
BenchmarkDeepSeek Coder 2.0Kimi K2Result
AA-LCRSource 51.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkDeepSeek Coder 2.0Kimi 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
BenchmarkDeepSeek Coder 2.0Kimi K2Result
FrontierMath v2 (Tiers 1-3)Source 21.404%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkDeepSeek Coder 2.0Kimi K2Result
Design Arena WebsiteSource 1080Not comparable
Inst. Following
BenchmarkDeepSeek Coder 2.0Kimi K2Result
AA-IFBenchSource 41.5%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek Coder 2.0 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 DeepSeek Coder 2.0 and Kimi K2 today?

DeepSeek Coder 2.0: Pricing unavailable 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 22, 2026

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