Skip to main content
BenchLM
Advertise

Model comparison

DeepSeek V4 Pro Base vs Kimi K2.7 Code

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 K2.7 Code
Moonshot AI
54.03/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek V4 Pro Base unranked (Not scored); Kimi K2.7 Code #92 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Pro Base and Kimi K2.7 Code share 0 comparable benchmark results. 0 of 8 categories are comparable. 24 results are unique to DeepSeek V4 Pro Base; 23 to Kimi K2.7 Code.

Updated July 27, 2026
Shared results
0
DeepSeek V4 Pro Base only
24
Kimi K2.7 Code only
23
Comparable categories
0 / 8

Benchmark data for DeepSeek V4 Pro Base and Kimi K2.7 Code 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

DeepSeek V4 Pro Base has the larger context window at 1M, compared with 256K for Kimi K2.7 Code.

Operational comparison

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

MetricDeepSeek V4 Pro BaseKimi K2.7 CodeComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Pro BaseNot availableKimi K2.7 Code$0.95 input / $4 outputA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V4 Pro BaseNot availableKimi K2.7 CodeNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Pro BaseNot availableKimi K2.7 CodeNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Pro Base1MKimi K2.7 Code256KDeepSeek V4 Pro Base lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 Pro BaseKimi K2.7 CodeResult
Kimi Claw 24/7Source —46.9%Not comparable
MCP AtlasSource —76%Not comparable
MCP Mark VerifiedSource —81.1%Not comparable
AA Agentic IndexSource —29.6%Not comparable
τ²-bench resultsSource —90.1%Not comparable
GDPval-AASource —34.3%Not comparable
GDPval-AASource —1186Not comparable
Coding
BenchmarkDeepSeek V4 Pro BaseKimi K2.7 CodeResult
BigCodeBenchSource 59.2%—Not comparable
HumanEvalSource 76.8%—Not comparable
Kimi Code Bench v2Source —62.0%Not comparable
ProgramBenchSource —53.6%Not comparable
MLS-Bench LiteSource —35.1%Not comparable
cursorBench32Source —49.7%Not comparable
AA Coding IndexSource —60.8%Not comparable
AA-SciCodeSource —47.5%Not comparable
Reasoning
BenchmarkDeepSeek V4 Pro BaseKimi K2.7 CodeResult
BBHSource 87.5%—Not comparable
DROPSource 88.7%—Not comparable
HellaSwagSource 88.0%—Not comparable
WinoGrandeSource 81.5%—Not comparable
CLUEWSCSource 85.2%—Not comparable
LongBench v2Source 51.5%—Not comparable
AA-LCRSource —66.3%Not comparable
CritPtSource —10.0%Not comparable
Knowledge
BenchmarkDeepSeek V4 Pro BaseKimi K2.7 CodeResult
AGIEvalSource 83.1%—Not comparable
MMLUSource 90.1%—Not comparable
MMLU-ReduxSource 90.8%—Not comparable
MMLU-ProSource 73.5%—Not comparable
MMMLUSource 90.3%—Not comparable
C-EvalSource 93.1%—Not comparable
CMMLUSource 90.8%—Not comparable
MultiLoKoSource 51.1%—Not comparable
SimpleQASource 55.2%—Not comparable
SuperGPQASource 53.9%—Not comparable
FACTS ParametricSource 62.6%—Not comparable
TriviaQASource 85.6%—Not comparable
Artificial Analysis Intelligence IndexSource —42.0%Not comparable
AA-GPQA DiamondSource —89.6%Not comparable
AA-HLESource —32.8%Not comparable
AA-Omniscience IndexSource —-10.7%Not comparable
AA-Omniscience AccuracySource —38.6%Not comparable
AA-Omniscience Hallucination RateSource —80.3%Not comparable
Math
BenchmarkDeepSeek V4 Pro BaseKimi K2.7 CodeResult
GSM8KSource 92.6%—Not comparable
MATHSource 64.5%—Not comparable
CMathSource 90.9%—Not comparable
Multilingual
BenchmarkDeepSeek V4 Pro BaseKimi K2.7 CodeResult
MGSMSource 84.4%—Not comparable
Multimodal
BenchmarkDeepSeek V4 Pro BaseKimi K2.7 CodeResult
Design Arena WebsiteSource —1300Not comparable
Inst. Following
BenchmarkDeepSeek V4 Pro BaseKimi K2.7 CodeResult
AA-IFBenchSource —63.1%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V4 Pro Base and Kimi K2.7 Code 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 Base and Kimi K2.7 Code today?

DeepSeek V4 Pro Base: Pricing unavailable Kimi K2.7 Code: $0.95 input / $4.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

DeepSeek V4 Pro Base
API / mo$0
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Kimi K2.7 Code
API / mo$3,713
Self-host / mo$18,221
Break-even326M/day
Model the full break-even

Related Comparisons

Explore More

DeepSeek Compare Pricing Methodology Find Your Best LLM Overall Rankings
Last updated: July 27, 2026

Know when it’s worth switching models

The model to choose, the cheaper alternative, and the release we would wait on.

One email each week. Unsubscribe anytime.