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DeepSeek V4 Flash 0423 vs Llama 3.1 8B Instruct

Updated October 21, 2026. 33 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 0423 Replace Llama 3.1 8B Instruct
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
24.4
Output $/M
$0.28
33
Llama 3.1 8B InstructMeta Llama
Coding
No data
Overall
6.9
Output $/M
$0.08
0
vs boards won of 33 shared

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

DeepSeek V4 Flash 0423 has the edge where the context window is larger, 1.05M against 131K tokens.

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BLlama 3.1 8B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
33
DeepSeek V4 Flash 0423 only
15
Llama 3.1 8B Instruct only
17
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 0423 not benchmarked, Llama 3.1 8B Instruct not benchmarked.
Widest category
Reasoning, 45.5 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: Korean: DeepSeek V4 Flash 0423 1383 against Llama 3.1 8B Instruct 1053, 55.1 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against Llama 3.1 8B Instruct $0.08 per million output tokens, 3.5x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, Llama 3.1 8B Instruct 131K.

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 3.1 8B InstructTies
Coding40
Intelligence20
Reasoning30
Math20
Knowledge40
General180
All shared boards330
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V4 Flash 0423 and Llama 3.1 8B Instruct
BenchmarkDeepSeek V4 Flash 0423Llama 3.1 8B InstructLeader
LMArena WebDev1582Not measuredOnly DeepSeek V4 Flash 0423 measured
AA Coding Index52.05.4DeepSeek V4 Flash 0423
LiveCodeBench (Artificial Analysis run)Not measured11.6%Only Llama 3.1 8B Instruct measured
Terminal-Bench Hard (Artificial Analysis run)Not measured0.8%Only Llama 3.1 8B Instruct measured
WeirdML45.6%1.7%DeepSeek V4 Flash 0423
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571195DeepSeek V4 Flash 0423
LMArena Text: software and IT14531195DeepSeek 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 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Flash 0423 and Llama 3.1 8B Instruct
BenchmarkDeepSeek V4 Flash 0423Llama 3.1 8B InstructLeader
AA Intelligence Index24.46.9DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1116.5DeepSeek V4 Flash 0423
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0423 and Llama 3.1 8B Instruct
BenchmarkDeepSeek V4 Flash 0423Llama 3.1 8B InstructLeader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
τ²-Bench TelecomNot measured16.4%Only Llama 3.1 8B Instruct measured
BALROGNot measured15.1%Only Llama 3.1 8B Instruct measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Flash 0423 and Llama 3.1 8B Instruct
BenchmarkDeepSeek V4 Flash 0423Llama 3.1 8B InstructLeader
GPQA Diamond (Artificial Analysis run)Not measured25.9%Only Llama 3.1 8B Instruct measured
Humanity's Last Exam (Artificial Analysis run)Not measured5.3%Only Llama 3.1 8B Instruct measured
GPQA Diamond (Epoch AI run)Not measured27.0%Only Llama 3.1 8B Instruct measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441175DeepSeek V4 Flash 0423
LMArena Text: expert14411144DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491196DeepSeek V4 Flash 0423
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Flash 0423 and Llama 3.1 8B Instruct
BenchmarkDeepSeek V4 Flash 0423Llama 3.1 8B InstructLeader
AA Math IndexNot measured4.3Only Llama 3.1 8B Instruct measured
AIME 2025 (Artificial Analysis run)Not measured4.3%Only Llama 3.1 8B Instruct measured
OTIS Mock AIMENot measured1.7%Only Llama 3.1 8B Instruct measured
MATH level 5Not measured22.9%Only Llama 3.1 8B Instruct measured
GSM8KNot measured82.4%Only Llama 3.1 8B Instruct measured
LMArena Text: math14261179DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321180DeepSeek V4 Flash 0423
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Flash 0423 and Llama 3.1 8B Instruct
BenchmarkDeepSeek V4 Flash 0423Llama 3.1 8B InstructLeader
MMLU Pro (Artificial Analysis run)Not measured47.6%Only Llama 3.1 8B Instruct measured
MMLUNot measured56.1%Only Llama 3.1 8B Instruct measured
LMArena Text: science14461193DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481182DeepSeek V4 Flash 0423
LMArena Text: legal and government14391206DeepSeek V4 Flash 0423
LMArena Text: business and finance14251166DeepSeek V4 Flash 0423
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V4 Flash 0423 and Llama 3.1 8B Instruct
BenchmarkDeepSeek V4 Flash 0423Llama 3.1 8B InstructLeader
Design Arena: websites1208Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: UI components1165Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: game dev1197Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: data viz1127Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: 3D1189Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: all code categories1205Not measuredOnly DeepSeek V4 Flash 0423 measured
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 index180
General benchmarks for DeepSeek V4 Flash 0423 and Llama 3.1 8B Instruct
BenchmarkDeepSeek V4 Flash 0423Llama 3.1 8B InstructLeader
IFBenchNot measured28.6%Only Llama 3.1 8B Instruct measured
Long context reasoning (AA-LCR)Not measured18.0%Only Llama 3.1 8B Instruct measured
DTBench86.4%50.9%DeepSeek V4 Flash 0423
LMCA35.9%5.4%DeepSeek V4 Flash 0423
PIQANot measured81.2%Only Llama 3.1 8B Instruct measured
LMArena Text14321187DeepSeek V4 Flash 0423
LMArena Text: instruction following14211159DeepSeek V4 Flash 0423
LMArena Text: creative writing14031154DeepSeek V4 Flash 0423
LMArena Text: English14411218DeepSeek V4 Flash 0423
LMArena Text: non-English14191148DeepSeek V4 Flash 0423
LMArena Text: Chinese14631151DeepSeek V4 Flash 0423
LMArena Text: German14191144DeepSeek V4 Flash 0423
LMArena Text: Japanese13891061DeepSeek V4 Flash 0423
LMArena Text: Korean13831053DeepSeek V4 Flash 0423
LMArena Text: French14391178DeepSeek V4 Flash 0423
LMArena Text: Spanish14361169DeepSeek V4 Flash 0423
LMArena Text: Russian14271158DeepSeek V4 Flash 0423
LMArena Text: Polish1436Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: multi-turn14491172DeepSeek V4 Flash 0423
LMArena Text: longer queries14341181DeepSeek V4 Flash 0423
LMArena Text: writing and language14101162DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001145DeepSeek V4 Flash 0423
Neither model has a result on the other 24 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 3.1 8B Instruct
BenchmarkDeepSeek V4 Flash 0423Llama 3.1 8B InstructLeader
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$0.0003Fits in one request
Llama 3.1 8B Instruct$0.0001Fits in one request

Llama 3.1 8B Instruct costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0078Fits in one request
Llama 3.1 8B Instruct$0.0027Fits in one request

Llama 3.1 8B Instruct costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.031Fits in one request
Llama 3.1 8B Instruct$0.011Exceeds the context window

Llama 3.1 8B Instruct 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 3.1 8B Instruct
SpecificationDeepSeek V4 Flash 0423Meta Llama 3.1 8B Instruct
MakerDeepSeekMeta Llama
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026July 23, 2024
Context window1.05M131K
Input $/Mtok$0.14$0.05
Output $/Mtok$0.28$0.08
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than Llama 3.1 8B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. DeepSeek V4 Flash 0423 has the edge where the context window is larger, 1.05M against 131K tokens.

Which is cheaper, DeepSeek V4 Flash 0423 or Llama 3.1 8B Instruct?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; Llama 3.1 8B Instruct costs $0.05 and $0.08. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V4 Flash 0423 or Llama 3.1 8B Instruct?

DeepSeek V4 Flash 0423, with 1.05M tokens against 131K.

How many benchmarks is the DeepSeek V4 Flash 0423 vs Llama 3.1 8B Instruct comparison based on?

33 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 3.1 8B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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