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Claude Opus 4.1 vs DeepSeek V4 Flash 0423

DeepSeek V4 Flash 0423 leads Claude Opus 4.1 on the Artificial Analysis Intelligence Index, 24.4 to 22.8, and DeepSeek V4 Flash 0423 costs 267.9x less per output token ($0.28 vs $75.00 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace DeepSeek V4 Flash 0423
Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
15
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
28
vs boards won of 44 shared, 1 tied

Claude Opus 4.1 or DeepSeek V4 Flash 0423: which to pick

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

Pick Claude Opus 4.1 for work measured by LMArena WebDev or LMArena WebDev: HTML, where it leads.

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved taskModel BDeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
44
Claude Opus 4.1 only
29
DeepSeek V4 Flash 0423 only
5
Like-for-like categories
7 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
Claude Opus 4.1 not benchmarked, DeepSeek V4 Flash 0423 not benchmarked.
Widest category
Coding, 11.7 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: Claude Opus 4.1 1390 against DeepSeek V4 Flash 0423 1582, 27.4 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against DeepSeek V4 Flash 0423 $0.28 per million output tokens, 267.9x apart.
Context window
Claude Opus 4.1 takes 200K tokens, DeepSeek V4 Flash 0423 1.05M.

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
CategoryClaude Opus 4.1BarsDeepSeek V4 Flash 0423Ties
Coding32
Intelligence02
Reasoning22
Math20
Knowledge04
Web design251 tie
General613
All shared boards15281 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
Coding benchmarks for Claude Opus 4.1 and DeepSeek V4 Flash 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Flash 0423Leader
LMArena WebDev13901582DeepSeek V4 Flash 0423
AA Coding IndexNot measured52.0Only DeepSeek V4 Flash 0423 measured
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%45.6%Claude Opus 4.1
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
ALE-BenchNot measured678.2Only DeepSeek V4 Flash 0423 measured
LMArena Text: coding14791457Claude Opus 4.1
LMArena Text: software and IT14561453Claude Opus 4.1
LMArena WebDev: ReactNot measured1585Only DeepSeek V4 Flash 0423 measured
LMArena WebDev: HTML13991558DeepSeek V4 Flash 0423
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.1 and DeepSeek V4 Flash 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Flash 0423Leader
AA Intelligence Index22.824.4DeepSeek V4 Flash 0423
Epoch Capabilities Index144.1146.1DeepSeek V4 Flash 0423
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and DeepSeek V4 Flash 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Flash 0423Leader
AA Agentic IndexNot measured26.3Only DeepSeek V4 Flash 0423 measured
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index22
Reasoning benchmarks for Claude Opus 4.1 and DeepSeek V4 Flash 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Flash 0423Leader
GPQA Diamond76.3%Not measuredOnly Claude Opus 4.1 measured
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
GPQA Diamond (Epoch AI run)77.3%Not measuredOnly Claude Opus 4.1 measured
SimpleBench60.0%46.3%Claude Opus 4.1
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421444DeepSeek V4 Flash 0423
LMArena Text: expert14381441DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14511449Claude Opus 4.1
Kagi LLM BenchmarkNot measured52.2%Only DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Opus 4.1 and DeepSeek V4 Flash 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Flash 0423Leader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
OTIS Mock AIME68.9%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: math14311426Claude Opus 4.1
LMArena Text: mathematical work14341432Claude Opus 4.1
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Claude Opus 4.1 and DeepSeek V4 Flash 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Flash 0423Leader
MMLU Pro87.9%Not measuredOnly Claude Opus 4.1 measured
LegalBench (Vals AI)83.5%Not measuredOnly Claude Opus 4.1 measured
TaxEval (Vals AI)73.7%Not measuredOnly Claude Opus 4.1 measured
MortgageTax (Vals AI)61.1%Not measuredOnly Claude Opus 4.1 measured
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: science14221446DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14161448DeepSeek V4 Flash 0423
LMArena Text: legal and government14211439DeepSeek V4 Flash 0423
LMArena Text: business and finance14061425DeepSeek V4 Flash 0423
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index25
Web design benchmarks for Claude Opus 4.1 and DeepSeek V4 Flash 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Flash 0423Leader
Design Arena: websites11761207DeepSeek V4 Flash 0423
Design Arena: UI components11621162Tie
Design Arena: game dev11711196DeepSeek V4 Flash 0423
Design Arena: data viz11661127Claude Opus 4.1
Design Arena: 3D11521188DeepSeek V4 Flash 0423
Design Arena: all code categories11701205DeepSeek V4 Flash 0423
Design Arena: SVG11521155DeepSeek V4 Flash 0423
Design Arena: ASCII art11671109Claude Opus 4.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index613
General benchmarks for Claude Opus 4.1 and DeepSeek V4 Flash 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Flash 0423Leader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
DTBench80.0%86.4%DeepSeek V4 Flash 0423
LMCA37.1%35.9%Claude Opus 4.1
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text14191432DeepSeek V4 Flash 0423
LMArena Text: instruction following14351421Claude Opus 4.1
LMArena Text: creative writing14121403Claude Opus 4.1
LMArena Text: English14331441DeepSeek V4 Flash 0423
LMArena Text: non-English14051419DeepSeek V4 Flash 0423
LMArena Text: Chinese14271463DeepSeek V4 Flash 0423
LMArena Text: German14131419DeepSeek V4 Flash 0423
LMArena Text: Japanese13771389DeepSeek V4 Flash 0423
LMArena Text: Korean13811383DeepSeek V4 Flash 0423
LMArena Text: French14331439DeepSeek V4 Flash 0423
LMArena Text: Spanish14481436Claude Opus 4.1
LMArena Text: Russian14221427DeepSeek V4 Flash 0423
LMArena Text: Polish14131436DeepSeek V4 Flash 0423
LMArena Text: multi-turn14441449DeepSeek V4 Flash 0423
LMArena Text: longer queries14551434Claude Opus 4.1
LMArena Text: writing and language14181410Claude Opus 4.1
LMArena Text: entertainment and media13981400DeepSeek 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 Claude Opus 4.1 and DeepSeek V4 Flash 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Flash 0423Leader
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

Claude Opus 4.1$0.052Fits in one request
DeepSeek V4 Flash 0423$0.0003Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
DeepSeek V4 Flash 0423$0.0078Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
DeepSeek V4 Flash 0423$0.031Fits 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 Claude Opus 4.1 and DeepSeek V4 Flash 0423
SpecificationAnthropic Claude Opus 4.1DeepSeek V4 Flash 0423
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2025April 24, 2026
Context window200K1.05M
Input $/Mtok$15.00$0.14
Output $/Mtok$75.00$0.28
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than DeepSeek V4 Flash 0423 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by LMArena WebDev or LMArena WebDev: HTML, where it leads.

Which is cheaper, Claude Opus 4.1 or DeepSeek V4 Flash 0423?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; DeepSeek V4 Flash 0423 costs $0.14 and $0.28. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or DeepSeek V4 Flash 0423?

DeepSeek V4 Flash 0423, with 1.05M tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs DeepSeek V4 Flash 0423 comparison based on?

44 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and DeepSeek V4 Flash 0423's on 1. Where only one model has a result, the page says so instead of naming a winner.

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