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DeepSeek V4 Flash 0731 vs Gemini 2.5 Flash Lite

DeepSeek V4 Flash 0731 leads Gemini 2.5 Flash Lite on the Artificial Analysis Intelligence Index, 34.3 to 10.4, and DeepSeek V4 Flash 0731 costs 1.4x less per output token ($0.28 vs $0.40 per million). Updated October 21, 2026; 15 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0731 Replace Gemini 2.5 Flash Lite
DeepSeek V4 Flash 0731DeepSeek
Coding
51.8
Overall
55.2
Output $/M
$0.28
14
Gemini 2.5 Flash LiteGoogle
Coding
No data
Overall
No data
Output $/M
$0.40
1
vs boards won of 15 shared

DeepSeek V4 Flash 0731 or Gemini 2.5 Flash Lite: which to pick

Only DeepSeek V4 Flash 0731 has a coding score, 51.8 on the Vibe Coding Index; Gemini 2.5 Flash Lite has none, so the two cannot be ranked on coding.

Pick Gemini 2.5 Flash Lite for work measured by LegalBench (Vals AI), where it leads.

Model ADeepSeek V4 Flash 0731DeepSeek51.8/1004 independent benchmarks$0.01 per solved taskModel BGemini 2.5 Flash LiteGoogleNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
15
DeepSeek V4 Flash 0731 only
40
Gemini 2.5 Flash Lite only
15
Like-for-like categories
5 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, Gemini 2.5 Flash Lite not benchmarked.
Widest category
Reasoning, 26.6 points apart on average over 3 shared benchmarks.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): DeepSeek V4 Flash 0731 38.6% against Gemini 2.5 Flash Lite 6.8%, 31.8 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0731 $0.28 against Gemini 2.5 Flash Lite $0.40 per million output tokens, 1.4x apart.
Context window
Both take 1.05M tokens.

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 0731BarsGemini 2.5 Flash LiteTies
Coding10
Intelligence20
Reasoning30
Knowledge41
General40
All shared boards141
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for DeepSeek V4 Flash 0731 and Gemini 2.5 Flash Lite
BenchmarkDeepSeek V4 Flash 0731Gemini 2.5 Flash LiteLeader
AA Coding Index69.1Not measuredOnly DeepSeek V4 Flash 0731 measured
LiveCodeBench (Vals AI)87.3%71.4%DeepSeek V4 Flash 0731
SWE-bench Verified (Vals AI)88.8%Not measuredOnly DeepSeek V4 Flash 0731 measured
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 measured59.3%Only Gemini 2.5 Flash Lite measured
SciCode50.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured4.5%Only Gemini 2.5 Flash Lite measured
FrontierCode18.8%Not measuredOnly DeepSeek V4 Flash 0731 measured
WeirdML63.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
ALE-Bench1306.1Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Flash 0731 and Gemini 2.5 Flash Lite
BenchmarkDeepSeek V4 Flash 0731Gemini 2.5 Flash LiteLeader
AA Intelligence Index34.310.4DeepSeek V4 Flash 0731
Epoch Capabilities Index154.8133.8DeepSeek 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 Gemini 2.5 Flash Lite
BenchmarkDeepSeek V4 Flash 0731Gemini 2.5 Flash LiteLeader
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 measured19.0%Only Gemini 2.5 Flash Lite measured
Berkeley Function Calling Leaderboard (BFCL)Not measured36.9%Only Gemini 2.5 Flash Lite measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Flash 0731 and Gemini 2.5 Flash Lite
BenchmarkDeepSeek V4 Flash 0731Gemini 2.5 Flash LiteLeader
GPQA Diamond89.9%70.2%DeepSeek V4 Flash 0731
MMMU Pro (Vals AI)Not measured75.4%Only Gemini 2.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)90.8%62.5%DeepSeek V4 Flash 0731
Humanity's Last Exam (Artificial Analysis run)38.6%6.8%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
Kagi LLM BenchmarkNot measured40.5%Only Gemini 2.5 Flash Lite measured
Neither model has a result on the other 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Math benchmarks for DeepSeek V4 Flash 0731 and Gemini 2.5 Flash Lite
BenchmarkDeepSeek V4 Flash 0731Gemini 2.5 Flash LiteLeader
AIMENot measured42.1%Only Gemini 2.5 Flash Lite measured
MGSM (Vals AI)Not measured89.5%Only Gemini 2.5 Flash Lite measured
AA Math IndexNot measured53.3Only Gemini 2.5 Flash Lite measured
AIME 2025 (Artificial Analysis run)Not measured53.3%Only Gemini 2.5 Flash Lite 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 index41
Knowledge benchmarks for DeepSeek V4 Flash 0731 and Gemini 2.5 Flash Lite
BenchmarkDeepSeek V4 Flash 0731Gemini 2.5 Flash LiteLeader
MMLU Pro86.2%79.1%DeepSeek V4 Flash 0731
LegalBench (Vals AI)77.7%82.0%Gemini 2.5 Flash Lite
CorpFin (Vals AI)61.9%57.6%DeepSeek V4 Flash 0731
TaxEval (Vals AI)70.7%66.2%DeepSeek V4 Flash 0731
MortgageTax (Vals AI)Not measured57.6%Only Gemini 2.5 Flash Lite measured
MedQA (Vals AI)Not measured88.9%Only Gemini 2.5 Flash Lite measured
MedCode (Vals AI)41.4%34.2%DeepSeek V4 Flash 0731
MMLU Pro (Artificial Analysis run)Not measured75.9%Only Gemini 2.5 Flash Lite measured
SimpleQA Verified33.6%Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 9 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V4 Flash 0731 and Gemini 2.5 Flash Lite
BenchmarkDeepSeek V4 Flash 0731Gemini 2.5 Flash LiteLeader
Design Arena: websites1238Not measuredOnly DeepSeek V4 Flash 0731 measured
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 index40
General benchmarks for DeepSeek V4 Flash 0731 and Gemini 2.5 Flash Lite
BenchmarkDeepSeek V4 Flash 0731Gemini 2.5 Flash LiteLeader
SAGE (Vals AI)Not measured30.8%Only Gemini 2.5 Flash Lite measured
MedScribe (Vals AI)80.4%75.8%DeepSeek V4 Flash 0731
IFBenchNot measured49.9%Only Gemini 2.5 Flash Lite measured
Long context reasoning (AA-LCR)79.7%55.7%DeepSeek V4 Flash 0731
DTBench90.9%62.8%DeepSeek V4 Flash 0731
LMCA41.7%18.1%DeepSeek V4 Flash 0731
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 Gemini 2.5 Flash Lite
BenchmarkDeepSeek V4 Flash 0731Gemini 2.5 Flash LiteLeader
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
Gemini 2.5 Flash Lite$0.0003Fits 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
Gemini 2.5 Flash Lite$0.0062Fits in one request

Gemini 2.5 Flash Lite costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0731$0.031Fits in one request
Gemini 2.5 Flash Lite$0.024Fits in one request

Gemini 2.5 Flash Lite 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 Gemini 2.5 Flash Lite
SpecificationDeepSeek V4 Flash 0731Google Gemini 2.5 Flash Lite
MakerDeepSeekGoogle
WeightsOpen weightsNo public weights listed
ReleasedJuly 31, 2026July 22, 2025
Context window1.05M1.05M
Input $/Mtok$0.14$0.10
Output $/Mtok$0.28$0.40
Coding index51.8Not benchmarked
Independent measurements behind it40
Cost per solved task$0.01Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0731 better than Gemini 2.5 Flash Lite for coding?

Only DeepSeek V4 Flash 0731 has a coding score, 51.8 on the Vibe Coding Index; Gemini 2.5 Flash Lite has none, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash Lite for work measured by LegalBench (Vals AI), where it leads.

Which is cheaper, DeepSeek V4 Flash 0731 or Gemini 2.5 Flash Lite?

DeepSeek V4 Flash 0731 costs $0.14 per million input tokens and $0.28 per million output tokens; Gemini 2.5 Flash Lite costs $0.10 and $0.40. Cost per solved task is known for DeepSeek V4 Flash 0731 only.

Which has the bigger context window, DeepSeek V4 Flash 0731 or Gemini 2.5 Flash Lite?

Neither: both take 1.05M tokens.

How many benchmarks is the DeepSeek V4 Flash 0731 vs Gemini 2.5 Flash Lite 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 Gemini 2.5 Flash Lite's on 0. Where only one model has a result, the page says so instead of naming a winner.

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