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DeepSeek V4 Flash 0731 vs Kimi K2 Thinking

Updated October 21, 2026. 15 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V4 Flash 0731 Replace Kimi K2 Thinking
DeepSeek V4 Flash 0731DeepSeek
Coding
51.8
Overall
34.3
Output $/M
$0.396
13
Kimi K2 ThinkingMoonshot AI
Coding
No data
Overall
22.0
Output $/M
$2.50
2
vs boards won of 15 shared

Decision reading

Only DeepSeek V4 Flash 0731 has a coding score, 51.8 on the Vibe Coding Index; Kimi K2 Thinking has none, so the two cannot be ranked on coding.

Kimi K2 Thinking has the edge where what matters is LegalBench (Vals AI) or TaxEval (Vals AI), where it leads.

Model ADeepSeek V4 Flash 0731DeepSeek51.8/1004 independent benchmarks$0.01 per solved taskModel BKimi K2 ThinkingMoonshot AINot benchmarked1 independent benchmark$0.61 per solved task
Shared results
15
DeepSeek V4 Flash 0731 only
40
Kimi K2 Thinking only
15
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 Thinking not benchmarked.
Widest category
Coding, 24.1 points apart on average over 4 shared benchmarks.
Widest single gap
SWE-bench Verified (Vals AI): DeepSeek V4 Flash 0731 88.8% against Kimi K2 Thinking 60.2%, 28.6 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0731 $0.396 against Kimi K2 Thinking $2.50 per million output tokens, 6.3x apart.
Context window
DeepSeek V4 Flash 0731 takes 1.05M tokens, Kimi K2 Thinking 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 ThinkingTies
Coding40
Intelligence20
Reasoning30
Knowledge22
Web design10
General10
All shared boards132
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V4 Flash 0731 and Kimi K2 Thinking
BenchmarkDeepSeek V4 Flash 0731Kimi K2 ThinkingLeader
SWE-bench VerifiedNot measured63.4%Only Kimi K2 Thinking measured
AA Coding Index69.1Not measuredOnly DeepSeek V4 Flash 0731 measured
LiveCodeBench (Vals AI)87.3%63.1%DeepSeek V4 Flash 0731
SWE-bench Verified (Vals AI)88.8%60.2%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%Not measuredOnly DeepSeek V4 Flash 0731 measured
Code migration (Vals AI)38.6%Not measuredOnly DeepSeek V4 Flash 0731 measured
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
IOI (Vals AI)32.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench 2.1 (Vals AI)67.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
SkillsBench (Vals AI)50.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
CyberBench (Vals AI)72.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
LiveCodeBench (Artificial Analysis run)Not measured85.3%Only Kimi K2 Thinking measured
SciCode50.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured31.1%Only Kimi K2 Thinking measured
Terminal-BenchNot measured35.7%Only Kimi K2 Thinking measured
FrontierCode18.8%Not measuredOnly DeepSeek V4 Flash 0731 measured
WeirdML63.0%42.8%DeepSeek V4 Flash 0731
ALE-Bench1306.1597.5DeepSeek V4 Flash 0731
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 Thinking
BenchmarkDeepSeek V4 Flash 0731Kimi K2 ThinkingLeader
AA Intelligence Index34.322.0DeepSeek V4 Flash 0731
Epoch Capabilities Index154.8145.8DeepSeek V4 Flash 0731
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0731 and Kimi K2 Thinking
BenchmarkDeepSeek V4 Flash 0731Kimi K2 ThinkingLeader
AA Agentic Index41.0Not measuredOnly DeepSeek V4 Flash 0731 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 measured93.0%Only Kimi K2 Thinking measured
METR time horizonsNot measured59.2%Only Kimi K2 Thinking measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Flash 0731 and Kimi K2 Thinking
BenchmarkDeepSeek V4 Flash 0731Kimi K2 ThinkingLeader
GPQA Diamond89.9%78.5%DeepSeek V4 Flash 0731
GPQA Diamond (Artificial Analysis run)90.8%83.8%DeepSeek V4 Flash 0731
Humanity's Last Exam (Artificial Analysis run)38.6%23.8%DeepSeek V4 Flash 0731
GPQA Diamond (Epoch AI run)91.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
ARC-AGI89.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
ARC-AGI-261.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
SimpleBench61.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
Chess puzzles32.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
Mystery game puzzles34.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Math benchmarks for DeepSeek V4 Flash 0731 and Kimi K2 Thinking
BenchmarkDeepSeek V4 Flash 0731Kimi K2 ThinkingLeader
AIMENot measured85.4%Only Kimi K2 Thinking measured
MGSM (Vals AI)Not measured90.2%Only Kimi K2 Thinking measured
AA Math IndexNot measured94.7Only Kimi K2 Thinking measured
AIME 2025 (Artificial Analysis run)Not measured94.7%Only Kimi K2 Thinking measured
OTIS Mock AIME94.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
FrontierMath, tiers 1 to 357.5%Not measuredOnly DeepSeek V4 Flash 0731 measured
FrontierMath, tier 424.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
ProofBench56.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for DeepSeek V4 Flash 0731 and Kimi K2 Thinking
BenchmarkDeepSeek V4 Flash 0731Kimi K2 ThinkingLeader
MMLU Pro86.2%81.1%DeepSeek V4 Flash 0731
LegalBench (Vals AI)77.7%80.2%Kimi K2 Thinking
CaseLaw (Vals AI)Not measured65.7%Only Kimi K2 Thinking measured
CorpFin (Vals AI)61.9%60.6%DeepSeek V4 Flash 0731
TaxEval (Vals AI)70.7%71.7%Kimi K2 Thinking
MedQA (Vals AI)Not measured92.6%Only Kimi K2 Thinking measured
MedCode (Vals AI)41.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
MMLU Pro (Artificial Analysis run)Not measured84.8%Only Kimi K2 Thinking measured
SimpleQA Verified33.6%Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index10
Web design benchmarks for DeepSeek V4 Flash 0731 and Kimi K2 Thinking
BenchmarkDeepSeek V4 Flash 0731Kimi K2 ThinkingLeader
Design Arena: websites12381113DeepSeek V4 Flash 0731
Design Arena: UI components1235Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: game dev1208Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: data viz1180Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: 3D1209Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: all code categories1230Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: SVG1185Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: ASCII art1090Not measuredOnly DeepSeek V4 Flash 0731 measured
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 Thinking
BenchmarkDeepSeek V4 Flash 0731Kimi K2 ThinkingLeader
MedScribe (Vals AI)80.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
IFBenchNot measured68.1%Only Kimi K2 Thinking measured
Long context reasoning (AA-LCR)79.7%72.0%DeepSeek V4 Flash 0731
DTBench90.9%Not measuredOnly DeepSeek V4 Flash 0731 measured
LMCA41.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
CL-benchNot measured17.6%Only Kimi K2 Thinking 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 Thinking
BenchmarkDeepSeek V4 Flash 0731Kimi K2 ThinkingLeader
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 Thinking$0.0019Fits in one request

DeepSeek V4 Flash 0731 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0731$0.0082Fits in one request
Kimi K2 Thinking$0.037Fits in one request

DeepSeek V4 Flash 0731 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0731$0.032Fits in one request
Kimi K2 Thinking$0.145Fits 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 Thinking
SpecificationDeepSeek V4 Flash 0731MoonshotAI Kimi K2 Thinking
MakerDeepSeekMoonshot AI
WeightsOpen weightsOpen weights
ReleasedJuly 31, 2026November 6, 2025
Context window1.05M262K
Input $/Mtok$0.14$0.60
Output $/Mtok$0.396$2.50
Coding index51.8Not benchmarked
Independent measurements behind it41
Cost per solved task$0.01$0.61
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0731 better than Kimi K2 Thinking for coding?

Only DeepSeek V4 Flash 0731 has a coding score, 51.8 on the Vibe Coding Index; Kimi K2 Thinking has none, so the two cannot be ranked on coding. Kimi K2 Thinking has the edge where what matters is LegalBench (Vals AI) or TaxEval (Vals AI), where it leads.

Which is cheaper, DeepSeek V4 Flash 0731 or Kimi K2 Thinking?

DeepSeek V4 Flash 0731 costs $0.14 per million input tokens and $0.396 per million output tokens; Kimi K2 Thinking costs $0.60 and $2.50. Per solved SWE-bench Verified task, DeepSeek V4 Flash 0731 costs $0.01 and Kimi K2 Thinking $0.61.

Which has the bigger context window, DeepSeek V4 Flash 0731 or Kimi K2 Thinking?

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

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

15 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 Thinking's on 1. Where only one model has a result, the page says so instead of naming a winner.

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