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DeepSeek V4 Flash 0423 vs Llama 4 Scout

Updated October 21, 2026. 39 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

DeepSeek V4 Flash 0423DeepSeek
Coding
54.6
Overall
24.4
Output $/M
$0.182
39
Llama 4 ScoutMeta Llama
Coding
9.1
Overall
6.5
Output $/M
$0.30
0
vs boards won of 39 shared

Decision reading

Pick DeepSeek V4 Flash 0423 for coding: it scores 54.6 on the Vibe Coding Index against 9.1 for Llama 4 Scout.

Pick Llama 4 Scout when the context window is larger, 1.31M against 1.05M tokens.

Shared results
39
DeepSeek V4 Flash 0423 only
9
Llama 4 Scout only
41
Like-for-like categories
8 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 0423 54.6 from 1 benchmark, Llama 4 Scout 9.1 from 1 benchmark.
Widest category
Web design, 48.1 points apart on average over 5 shared benchmarks.
Widest single gap
Design Arena: websites: DeepSeek V4 Flash 0423 1208 against Llama 4 Scout 750, 57.3 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.182 against Llama 4 Scout $0.30 per million output tokens, 1.6x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, Llama 4 Scout 1.31M.

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 0423BarsLlama 4 ScoutTies
Coding30
Intelligence20
Agentic work10
Reasoning30
Math20
Knowledge40
Web design50
General190
All shared boards390
CodingLike-for-likeFour of these boards feed the Vibe Coding Index30
Coding benchmarks for DeepSeek V4 Flash 0423 and Llama 4 Scout
BenchmarkDeepSeek V4 Flash 0423Llama 4 ScoutLeader
SWE-bench VerifiedNot measured9.1%Only Llama 4 Scout measured
LMArena WebDev1582Not measuredOnly DeepSeek V4 Flash 0423 measured
AA Coding Index52.08.2DeepSeek V4 Flash 0423
LiveCodeBench (Vals AI)Not measured38.5%Only Llama 4 Scout measured
LiveCodeBench (Artificial Analysis run)Not measured29.9%Only Llama 4 Scout measured
SciCodeNot measured21.3%Only Llama 4 Scout measured
Terminal-Bench Hard (Artificial Analysis run)Not measured1.5%Only Llama 4 Scout measured
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571286DeepSeek V4 Flash 0423
LMArena Text: software and IT14531286DeepSeek V4 Flash 0423
LMArena WebDev: React1585Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena WebDev: HTML1558Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Flash 0423 and Llama 4 Scout
BenchmarkDeepSeek V4 Flash 0423Llama 4 ScoutLeader
AA Intelligence Index24.46.5DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1129.6DeepSeek V4 Flash 0423
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V4 Flash 0423 and Llama 4 Scout
BenchmarkDeepSeek V4 Flash 0423Llama 4 ScoutLeader
AA Agentic Index26.30.5DeepSeek V4 Flash 0423
τ²-Bench TelecomNot measured15.5%Only Llama 4 Scout measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Flash 0423 and Llama 4 Scout
BenchmarkDeepSeek V4 Flash 0423Llama 4 ScoutLeader
GPQA DiamondNot measured47.0%Only Llama 4 Scout measured
MMMU Pro (Vals AI)Not measured58.8%Only Llama 4 Scout measured
GPQA Diamond (Artificial Analysis run)Not measured58.7%Only Llama 4 Scout measured
Humanity's Last Exam (Artificial Analysis run)Not measured3.8%Only Llama 4 Scout measured
GPQA Diamond (Epoch AI run)Not measured51.8%Only Llama 4 Scout measured
ARC-AGINot measured0.5%Only Llama 4 Scout measured
ARC-AGI-2Not measured0.0%Only Llama 4 Scout measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441266DeepSeek V4 Flash 0423
LMArena Text: expert14411235DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491293DeepSeek V4 Flash 0423
LMArena Vision: diagramsNot measured1125Only Llama 4 Scout measured
LMArena Vision: homeworkNot measured1148Only Llama 4 Scout measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Flash 0423 and Llama 4 Scout
BenchmarkDeepSeek V4 Flash 0423Llama 4 ScoutLeader
AIMENot measured19.0%Only Llama 4 Scout measured
MATH 500 (Vals AI)Not measured79.2%Only Llama 4 Scout measured
MGSM (Vals AI)Not measured88.0%Only Llama 4 Scout measured
AA Math IndexNot measured14.0Only Llama 4 Scout measured
AIME 2025 (Artificial Analysis run)Not measured14.0%Only Llama 4 Scout measured
OTIS Mock AIMENot measured7.8%Only Llama 4 Scout measured
MATH level 5Not measured62.3%Only Llama 4 Scout measured
LMArena Text: math14261287DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321286DeepSeek V4 Flash 0423
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Flash 0423 and Llama 4 Scout
BenchmarkDeepSeek V4 Flash 0423Llama 4 ScoutLeader
MMLU ProNot measured69.6%Only Llama 4 Scout measured
LegalBench (Vals AI)Not measured72.0%Only Llama 4 Scout measured
CorpFin (Vals AI)Not measured46.8%Only Llama 4 Scout measured
TaxEval (Vals AI)Not measured55.2%Only Llama 4 Scout measured
MortgageTax (Vals AI)Not measured57.8%Only Llama 4 Scout measured
MedQA (Vals AI)Not measured50.9%Only Llama 4 Scout measured
MedCode (Vals AI)Not measured23.3%Only Llama 4 Scout measured
MMLU Pro (Artificial Analysis run)Not measured75.2%Only Llama 4 Scout measured
LMArena Text: science14461278DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481275DeepSeek V4 Flash 0423
LMArena Text: legal and government14391285DeepSeek V4 Flash 0423
LMArena Text: business and finance14251257DeepSeek V4 Flash 0423
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for DeepSeek V4 Flash 0423 and Llama 4 Scout
BenchmarkDeepSeek V4 Flash 0423Llama 4 ScoutLeader
Design Arena: websites1208750DeepSeek V4 Flash 0423
Design Arena: UI components1164767DeepSeek V4 Flash 0423
Design Arena: game dev1197773DeepSeek V4 Flash 0423
Design Arena: data viz1127896DeepSeek V4 Flash 0423
Design Arena: 3D1189Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: all code categories1205790DeepSeek V4 Flash 0423
Design Arena: SVG1155Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: ASCII art1109Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for DeepSeek V4 Flash 0423 and Llama 4 Scout
BenchmarkDeepSeek V4 Flash 0423Llama 4 ScoutLeader
SAGE (Vals AI)Not measured34.8%Only Llama 4 Scout measured
MedScribe (Vals AI)Not measured50.6%Only Llama 4 Scout measured
IFBenchNot measured39.5%Only Llama 4 Scout measured
Long context reasoning (AA-LCR)Not measured27.7%Only Llama 4 Scout measured
DTBench86.4%57.9%DeepSeek V4 Flash 0423
LMCA35.9%12.0%DeepSeek V4 Flash 0423
Fiction.LiveBenchNot measured36.0%Only Llama 4 Scout measured
LMArena Text14321279DeepSeek V4 Flash 0423
LMArena Text: instruction following14211248DeepSeek V4 Flash 0423
LMArena Text: creative writing14031249DeepSeek V4 Flash 0423
LMArena VisionNot measured1118Only Llama 4 Scout measured
LMArena Text: English14411304DeepSeek V4 Flash 0423
LMArena Text: non-English14191252DeepSeek V4 Flash 0423
LMArena Text: Chinese14631255DeepSeek V4 Flash 0423
LMArena Text: German14191273DeepSeek V4 Flash 0423
LMArena Text: Japanese13891206DeepSeek V4 Flash 0423
LMArena Text: Korean13831207DeepSeek V4 Flash 0423
LMArena Text: French14391283DeepSeek V4 Flash 0423
LMArena Text: Spanish14361278DeepSeek V4 Flash 0423
LMArena Text: Russian14271263DeepSeek V4 Flash 0423
LMArena Text: Polish14361265DeepSeek V4 Flash 0423
LMArena Text: multi-turn14491280DeepSeek V4 Flash 0423
LMArena Text: longer queries14341265DeepSeek V4 Flash 0423
LMArena Text: writing and language14101269DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001242DeepSeek V4 Flash 0423
LMArena Vision: EnglishNot measured1143Only Llama 4 Scout measured
LMArena Vision: ChineseNot measured1106Only Llama 4 Scout measured
LMArena Vision: reading textNot measured1117Only Llama 4 Scout measured
LMArena Vision: humorNot measured1102Only Llama 4 Scout measured
LMArena Vision: creative writingNot measured1126Only Llama 4 Scout measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Flash 0423 and Llama 4 Scout
BenchmarkDeepSeek V4 Flash 0423Llama 4 ScoutLeader
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 0423$0.0002Fits in one request
Llama 4 Scout$0.0003Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0051Fits in one request
Llama 4 Scout$0.0059Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.020Fits in one request
Llama 4 Scout$0.023Fits in one request

DeepSeek V4 Flash 0423 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 0423 and Llama 4 Scout
SpecificationDeepSeek V4 Flash 0423Meta Llama 4 Scout
MakerDeepSeekMeta Llama
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026April 5, 2025
Context window1.05M1.31M
Input $/Mtok$0.091$0.10
Output $/Mtok$0.182$0.30
Coding index54.69.1
Independent measurements behind it11
Cost per solved taskNot computable$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than Llama 4 Scout for coding?

Pick DeepSeek V4 Flash 0423 for coding: it scores 54.6 on the Vibe Coding Index against 9.1 for Llama 4 Scout. Pick Llama 4 Scout when the context window is larger, 1.31M against 1.05M tokens.

Which is cheaper, DeepSeek V4 Flash 0423 or Llama 4 Scout?

DeepSeek V4 Flash 0423 costs $0.091 per million input tokens and $0.182 per million output tokens; Llama 4 Scout costs $0.10 and $0.30. Cost per solved task is known for Llama 4 Scout only.

Which has the bigger context window, DeepSeek V4 Flash 0423 or Llama 4 Scout?

Llama 4 Scout, with 1.31M tokens against 1.05M.

How many benchmarks is the DeepSeek V4 Flash 0423 vs Llama 4 Scout comparison based on?

39 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark and Llama 4 Scout's on 1. Where only one model has a result, the page says so instead of naming a winner.

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