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Model comparison

DeepSeek V4 Pro 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.
63/100
No comparison
Moonshot AI
N/A
0 category wins0 category wins

Verified leaderboard positions: DeepSeek V4 Pro #31; Kimi 3 unranked

Evidence parity. DeepSeek V4 Pro and Kimi 3 share 0 comparable benchmark results. 0 of 8 categories are comparable. 24 results are unique to DeepSeek V4 Pro; 0 to Kimi 3.

Updated July 14, 2026
Shared results
0
DeepSeek V4 Pro only
24
Kimi 3 only
0
Comparable categories
0 / 8

Benchmark data for DeepSeek V4 Pro 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 V4 Pro has the larger context window at 1M, compared with null for Kimi 3.

Operational comparison

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

MetricDeepSeek V4 ProKimi 3Comparison
Input / output priceUSD per 1M tokensDeepSeek V4 Pro$0.435 input / $0.87 outputKimi 3Not availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V4 ProNot availableKimi 3Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 ProNot availableKimi 3Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Pro1MKimi 3Not availableA complete context comparison is not available.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 ProKimi 3Result
Terminal-Bench 2.0Source 59.1%Not comparable
MCP AtlasSource 69.4%Not comparable
ToolathlonSource 46.3%Not comparable
Claw-EvalSource 59.8%Not comparable
Gert LabsSource 50.28%Not comparable
ResearchClawBenchSource 17.1%Not comparable
Coding
BenchmarkDeepSeek V4 ProKimi 3Result
LiveCodeBenchSource 56.8%Not comparable
SWE-bench VerifiedSource 73.6%Not comparable
SWE-bench ProSource 52.1%Not comparable
SWE MultilingualSource 69.8%Not comparable
Terminal-Bench 2.0Source 59.1%Not comparable
Reasoning
BenchmarkDeepSeek V4 ProKimi 3Result
MRCR 1MSource 44.7%Not comparable
CorpusQA 1MSource 35.6%Not comparable
Knowledge
BenchmarkDeepSeek V4 ProKimi 3Result
MMLU-ProSource 82.9%Not comparable
SimpleQASource 45%Not comparable
Chinese-SimpleQASource 75.8%Not comparable
GPQASource 72.9%Not comparable
GPQA-DSource 72.9%Not comparable
HLESource 7.7%Not comparable
Math
BenchmarkDeepSeek V4 ProKimi 3Result
HMMT Feb 2026Source 31.7%Not comparable
IMOAnswerBenchSource 35.3%Not comparable
ApexSource 0.4%Not comparable
Apex ShortlistSource 9.2%Not comparable
Multimodal
BenchmarkDeepSeek V4 ProKimi 3Result
Design Arena WebsiteSource 1269Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V4 Pro 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 V4 Pro and Kimi 3 today?

DeepSeek V4 Pro: $0.43 input / $0.87 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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