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Model comparison

DeepSeek V3.2 vs Kimi 3

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use BenchLM's provisional ranking lane.

Benchmark data for one or both models is coming soon. This page currently shows metadata and pricing where BenchLM has it, and score-level comparisons will populate as public benchmark results land.
54/100
No comparison
Moonshot AI
N/A
0 category wins0 category wins

Evidence parity. DeepSeek V3.2 and Kimi 3 share 0 comparable benchmark results. 0 of 8 categories are comparable. 20 results are unique to DeepSeek V3.2; 0 to Kimi 3.

Updated July 14, 2026
Shared results
0
DeepSeek V3.2 only
20
Kimi 3 only
0
Comparable categories
0 / 8

Benchmark data for DeepSeek V3.2 and Kimi 3 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 Kimi 3 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

DeepSeek V3.2 has the larger context window at 128K, compared with null for Kimi 3.

Operational comparison

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

MetricDeepSeek V3.2Kimi 3Comparison
Input / output priceUSD per 1M tokensDeepSeek V3.2$0.28 input / $0.42 outputKimi 3Not availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V3.235 tok/sKimi 3Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3.23.75 sKimi 3Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3.2128KKimi 3Not availableA complete context comparison is not available.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V3.2Kimi 3Result
Claw-EvalSource 40.2%Not comparable
VITA-BenchSource 18.5%Not comparable
Tau2-TelecomSource 78.9%Not comparable
Gert LabsSource 29.57%Not comparable
Coding
BenchmarkDeepSeek V3.2Kimi 3Result
SWE-RebenchSource 60.9%Not comparable
React Native EvalsSource 71.5%Not comparable
Terminal-Bench HardSource 32.6%Not comparable
AA-SciCodeSource 38.7%Not comparable
Reasoning
BenchmarkDeepSeek V3.2Kimi 3Result
AA-LCRSource 39.0%Not comparable
CritPtSource 0.9%Not comparable
Knowledge
BenchmarkDeepSeek V3.2Kimi 3Result
Artificial Analysis Intelligence IndexSource 24.7%Not comparable
AA-GPQA DiamondSource 75.1%Not comparable
AA-HLESource 10.5%Not comparable
AA-Omniscience IndexSource -46.7%Not comparable
AA-Omniscience AccuracySource 24.2%Not comparable
AA-Omniscience Hallucination RateSource 93.5%Not comparable
Math
BenchmarkDeepSeek V3.2Kimi 3Result
FrontierMath v2 (Tiers 1-3)Source 22.100%Not comparable
FrontierMath v2 (Tier 4)Source 2.100%Not comparable
Multimodal
BenchmarkDeepSeek V3.2Kimi 3Result
Design Arena WebsiteSource 1208Not comparable
Inst. Following
BenchmarkDeepSeek V3.2Kimi 3Result
AA-IFBenchSource 49.0%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V3.2 and Kimi 3 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 V3.2 and Kimi 3 today?

DeepSeek V3.2: $0.28 input / $0.42 output per 1M tokens Kimi 3: Pricing unavailable 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 14, 2026

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