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DeepSeek V4 Flash 0731 vs Kimi K2.7 Code

Kimi K2.7 Code leads DeepSeek V4 Flash 0731 on coding, 53.4 to 51.8 on the Vibe Coding Index, and DeepSeek V4 Flash 0731 costs 14.3x less per output token ($0.28 vs $4.00 per million). Updated October 21, 2026; 33 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0731 Replace Kimi K2.7 Code
DeepSeek V4 Flash 0731DeepSeek
Coding
51.8
Overall
55.2
Output $/M
$0.28
21
Kimi K2.7 CodeMoonshot AI
Coding
53.4
Overall
56.7
Output $/M
$4.00
10
vs boards won of 33 shared, 2 tied

DeepSeek V4 Flash 0731 or Kimi K2.7 Code: which to pick

DeepSeek V4 Flash 0731 and Kimi K2.7 Code are level for coding, 51.8 against 53.4 on the Vibe Coding Index, so price and context decide.

Pick DeepSeek V4 Flash 0731 for output tokens 14.3x cheaper ($0.28 vs $4.00 per million) and a lower cost per solved task ($0.01 against $0.35). Pick Kimi K2.7 Code for work measured by FrontierCode or OTIS Mock AIME, where it leads.

Model ADeepSeek V4 Flash 0731DeepSeek51.8/1004 independent benchmarks$0.01 per solved taskModel BKimi K2.7 CodeMoonshot AI53.4/1004 independent benchmarks$0.35 per solved task
Shared results
33
DeepSeek V4 Flash 0731 only
22
Kimi K2.7 Code only
18
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
DeepSeek V4 Flash 0731 51.8 from 4 benchmarks, Kimi K2.7 Code 53.4 from 4 benchmarks.
Widest category
Agentic work, 20.0 points apart on average over 1 shared benchmark.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4 Flash 0731 74.7% against Kimi K2.7 Code 47.2%, 27.5 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0731 $0.28 against Kimi K2.7 Code $4.00 per million output tokens, 14.3x apart.
Context window
DeepSeek V4 Flash 0731 takes 1.05M tokens, Kimi K2.7 Code 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryDeepSeek V4 Flash 0731BarsKimi K2.7 CodeTies
Coding912 ties
Intelligence20
Agentic work10
Reasoning50
Math21
Knowledge01
Web design17
General10
All shared boards21102 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index91
Coding benchmarks for DeepSeek V4 Flash 0731 and Kimi K2.7 Code
BenchmarkDeepSeek V4 Flash 0731Kimi K2.7 CodeLeader
LMArena WebDevNot measured1474Only Kimi K2.7 Code measured
AA Coding Index69.160.8DeepSeek V4 Flash 0731
LiveCodeBench (Vals AI)87.3%82.0%DeepSeek V4 Flash 0731
SWE-bench Verified (Vals AI)88.8%78.2%DeepSeek V4 Flash 0731
Terminal-Bench 4 (Vals AI)18.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Vibe Code Bench (Vals AI)74.7%47.2%DeepSeek V4 Flash 0731
Code migration (Vals AI)38.6%25.4%DeepSeek V4 Flash 0731
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)32.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench 2.1 (Vals AI)67.0%67.0%Tie
SkillsBench (Vals AI)50.7%50.0%DeepSeek V4 Flash 0731
CyberBench (Vals AI)72.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
SciCode50.3%47.8%DeepSeek V4 Flash 0731
Terminal-Bench Hard (Artificial Analysis run)Not measured44.7%Only Kimi K2.7 Code measured
FrontierCode18.8%30.1%Kimi K2.7 Code
WeirdML63.0%54.1%DeepSeek V4 Flash 0731
ALE-Bench1306.1886.2DeepSeek V4 Flash 0731
LMArena WebDev: ReactNot measured1475Only Kimi K2.7 Code measured
LMArena WebDev: HTMLNot measured1451Only Kimi K2.7 Code measured
LMArena WebDev: from an imageNot measured1513Only Kimi K2.7 Code measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Flash 0731 and Kimi K2.7 Code
BenchmarkDeepSeek V4 Flash 0731Kimi K2.7 CodeLeader
AA Intelligence Index34.325.8DeepSeek V4 Flash 0731
Epoch Capabilities Index154.8150.1DeepSeek V4 Flash 0731
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V4 Flash 0731 and Kimi K2.7 Code
BenchmarkDeepSeek V4 Flash 0731Kimi K2.7 CodeLeader
AA Agentic Index41.021.0DeepSeek V4 Flash 0731
Design Arena: agents building web appsNot measured1176Only Kimi K2.7 Code measured
Design Arena: agents building full-stack appsNot measured1175Only Kimi K2.7 Code measured
Design Arena: agents building mobile appsNot measured1143Only Kimi K2.7 Code measured
Design Arena: agents building Android appsNot measured1137Only Kimi K2.7 Code measured
Design Arena: agents building Godot gamesNot measured1147Only Kimi K2.7 Code measured
Design Arena: agents building gamesNot measured1131Only Kimi K2.7 Code measured
Design Arena: HTML slidesNot measured1201Only Kimi K2.7 Code measured
Design Arena: PowerPoint slidesNot measured1154Only Kimi K2.7 Code measured
Finance Agent (Vals AI)49.5%Not measuredOnly DeepSeek V4 Flash 0731 measured
Tax Agent Bench (Vals AI)28.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
Legal Research Bench (Vals AI)30.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
Excel Modeling Benchmark (Vals AI)57.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
BioMysteryBench (Vals AI)64.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
τ²-Bench TelecomNot measured90.1%Only Kimi K2.7 Code measured
APEX-AgentsNot measured37.6%Only Kimi K2.7 Code measured
Vending-Bench 2Not measured$5,083Only Kimi K2.7 Code measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for DeepSeek V4 Flash 0731 and Kimi K2.7 Code
BenchmarkDeepSeek V4 Flash 0731Kimi K2.7 CodeLeader
GPQA Diamond89.9%Not measuredOnly DeepSeek V4 Flash 0731 measured
GPQA Diamond (Artificial Analysis run)90.8%89.6%DeepSeek V4 Flash 0731
Humanity's Last Exam (Artificial Analysis run)38.6%35.0%DeepSeek V4 Flash 0731
GPQA Diamond (Epoch AI run)91.0%87.9%DeepSeek V4 Flash 0731
ARC-AGI89.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
ARC-AGI-261.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
SimpleBench61.1%57.9%DeepSeek V4 Flash 0731
Chess puzzles32.0%14.0%DeepSeek V4 Flash 0731
Mystery game puzzles34.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for DeepSeek V4 Flash 0731 and Kimi K2.7 Code
BenchmarkDeepSeek V4 Flash 0731Kimi K2.7 CodeLeader
OTIS Mock AIME94.4%95.6%Kimi K2.7 Code
FrontierMath, tiers 1 to 357.5%54.0%DeepSeek V4 Flash 0731
FrontierMath, tier 424.4%12.2%DeepSeek V4 Flash 0731
ProofBench56.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for DeepSeek V4 Flash 0731 and Kimi K2.7 Code
BenchmarkDeepSeek V4 Flash 0731Kimi K2.7 CodeLeader
MMLU Pro86.2%Not measuredOnly DeepSeek V4 Flash 0731 measured
LegalBench (Vals AI)77.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
CorpFin (Vals AI)61.9%Not measuredOnly DeepSeek V4 Flash 0731 measured
TaxEval (Vals AI)70.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
MedCode (Vals AI)41.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
SimpleQA Verified33.6%36.5%Kimi K2.7 Code
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for DeepSeek V4 Flash 0731 and Kimi K2.7 Code
BenchmarkDeepSeek V4 Flash 0731Kimi K2.7 CodeLeader
Design Arena: websites12381264Kimi K2.7 Code
Design Arena: UI components12351259Kimi K2.7 Code
Design Arena: game dev12081220Kimi K2.7 Code
Design Arena: data viz11801227Kimi K2.7 Code
Design Arena: 3D12091241Kimi K2.7 Code
Design Arena: all code categories12301253Kimi K2.7 Code
Design Arena: SVG11851176DeepSeek V4 Flash 0731
Design Arena: ASCII art10901196Kimi K2.7 Code
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for DeepSeek V4 Flash 0731 and Kimi K2.7 Code
BenchmarkDeepSeek V4 Flash 0731Kimi K2.7 CodeLeader
MedScribe (Vals AI)80.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
IFBenchNot measured63.1%Only Kimi K2.7 Code measured
Long context reasoning (AA-LCR)79.7%79.3%DeepSeek V4 Flash 0731
DTBench90.9%Not measuredOnly DeepSeek V4 Flash 0731 measured
LMCA41.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Surface Evolver BenchNot measured48.8%Only Kimi K2.7 Code measured
Neither model has a result on the other 40 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Flash 0731 and Kimi K2.7 Code
BenchmarkDeepSeek V4 Flash 0731Kimi K2.7 CodeLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

DeepSeek V4 Flash 0731$0.0003Fits in one request
Kimi K2.7 Code$0.0029Fits in one request

DeepSeek V4 Flash 0731 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0731$0.0078Fits in one request
Kimi K2.7 Code$0.059Fits in one request

DeepSeek V4 Flash 0731 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0731$0.031Fits in one request
Kimi K2.7 Code$0.230Fits in one request

DeepSeek V4 Flash 0731 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of DeepSeek V4 Flash 0731 and Kimi K2.7 Code
SpecificationDeepSeek V4 Flash 0731MoonshotAI Kimi K2.7 Code
MakerDeepSeekMoonshot AI
WeightsOpen weightsOpen weights
ReleasedJuly 31, 2026June 12, 2026
Context window1.05M262K
Input $/Mtok$0.14$0.95
Output $/Mtok$0.28$4.00
Coding index51.853.4
Independent measurements behind it44
Cost per solved task$0.01$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0731 better than Kimi K2.7 Code for coding?

DeepSeek V4 Flash 0731 and Kimi K2.7 Code are level for coding, 51.8 against 53.4 on the Vibe Coding Index, so price and context decide. Pick DeepSeek V4 Flash 0731 for output tokens 14.3x cheaper ($0.28 vs $4.00 per million) and a lower cost per solved task ($0.01 against $0.35). Pick Kimi K2.7 Code for work measured by FrontierCode or OTIS Mock AIME, where it leads.

Which is cheaper, DeepSeek V4 Flash 0731 or Kimi K2.7 Code?

DeepSeek V4 Flash 0731 costs $0.14 per million input tokens and $0.28 per million output tokens; Kimi K2.7 Code costs $0.95 and $4.00. Per solved SWE-bench Verified task, DeepSeek V4 Flash 0731 costs $0.01 and Kimi K2.7 Code $0.35.

Which has the bigger context window, DeepSeek V4 Flash 0731 or Kimi K2.7 Code?

DeepSeek V4 Flash 0731, with 1.05M tokens against 262K.

How many benchmarks is the DeepSeek V4 Flash 0731 vs Kimi K2.7 Code comparison based on?

33 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash 0731's coding index rests on 4 independent benchmarks and Kimi K2.7 Code's on 4. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/deepseek-v4-flash-0731-vs-kimi-k2-7-code">LLMBenchmark.ai, DeepSeek V4 Flash 0731 vs Kimi K2.7 Code</a></p>