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Claude Opus 4.1 vs DeepSeek V4 Pro 0423

DeepSeek V4 Pro 0423 leads Claude Opus 4.1 on the Artificial Analysis Intelligence Index, 30.4 to 22.8, and DeepSeek V4 Pro 0423 costs 27.6x less per output token ($2.716 vs $75.00 per million). Updated October 21, 2026; 55 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace DeepSeek V4 Pro 0423
Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
8
DeepSeek V4 Pro 0423DeepSeek
Coding
38.7
Overall
50.0
Output $/M
$2.716
46
vs boards won of 55 shared, 1 tied

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

Only DeepSeek V4 Pro 0423 has a coding score, 38.7 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for work measured by LMArena Text: coding or Mystery game puzzles, where it leads.

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved taskModel BDeepSeek V4 Pro 0423DeepSeek38.7/1005 independent benchmarks$0.57 per solved task
Shared results
55
Claude Opus 4.1 only
18
DeepSeek V4 Pro 0423 only
29
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 Pro 0423 38.7 from 5 benchmarks.
Widest category
Math, 13.2 points apart on average over 5 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Claude Opus 4.1 12.6% against DeepSeek V4 Pro 0423 45.3%, 32.6 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against DeepSeek V4 Pro 0423 $2.716 per million output tokens, 27.6x apart.
Context window
Claude Opus 4.1 takes 200K tokens, DeepSeek V4 Pro 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 Pro 0423Ties
Coding15
Intelligence02
Reasoning15
Math041 tie
Knowledge44
Web design26
General020
All shared boards8461 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index15
Coding benchmarks for Claude Opus 4.1 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Pro 0423Leader
LMArena WebDev13901447DeepSeek V4 Pro 0423
AA Coding IndexNot measured59.4Only DeepSeek V4 Pro 0423 measured
LiveCodeBench (Vals AI)66.5%87.5%DeepSeek V4 Pro 0423
SWE-bench Verified (Vals AI)Not measured77.4%Only DeepSeek V4 Pro 0423 measured
Terminal-Bench 4 (Vals AI)Not measured11.1%Only DeepSeek V4 Pro 0423 measured
Vibe Code Bench (Vals AI)Not measured49.9%Only DeepSeek V4 Pro 0423 measured
Code migration (Vals AI)Not measured26.2%Only DeepSeek V4 Pro 0423 measured
ProgramBench (Vals AI)Not measured0.0%Only DeepSeek V4 Pro 0423 measured
Terminal-Bench 2.1 (Vals AI)Not measured50.2%Only DeepSeek V4 Pro 0423 measured
SkillsBench (Vals AI)Not measured51.3%Only DeepSeek V4 Pro 0423 measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
FrontierCodeNot measured17.6%Only DeepSeek V4 Pro 0423 measured
WeirdML45.9%48.9%DeepSeek V4 Pro 0423
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
ALE-BenchNot measured1006.1Only DeepSeek V4 Pro 0423 measured
LMArena Text: coding14791470Claude Opus 4.1
LMArena Text: software and IT14561469DeepSeek V4 Pro 0423
LMArena WebDev: ReactNot measured1441Only DeepSeek V4 Pro 0423 measured
LMArena WebDev: HTML13991435DeepSeek V4 Pro 0423
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.1 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Pro 0423Leader
AA Intelligence Index22.830.4DeepSeek V4 Pro 0423
Epoch Capabilities Index144.1149.1DeepSeek V4 Pro 0423
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Pro 0423Leader
AA Agentic IndexNot measured26.3Only DeepSeek V4 Pro 0423 measured
Design Arena: agents building web appsNot measured1000Only DeepSeek V4 Pro 0423 measured
Design Arena: agents building full-stack appsNot measured948Only DeepSeek V4 Pro 0423 measured
Design Arena: agents building Godot gamesNot measured1059Only DeepSeek V4 Pro 0423 measured
Finance Agent (Vals AI)Not measured44.1%Only DeepSeek V4 Pro 0423 measured
Tax Agent Bench (Vals AI)Not measured25.2%Only DeepSeek V4 Pro 0423 measured
Legal Research Bench (Vals AI)Not measured23.1%Only DeepSeek V4 Pro 0423 measured
Excel Modeling Benchmark (Vals AI)Not measured51.6%Only DeepSeek V4 Pro 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
Vending-Bench 2Not measured$3,285Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index15
Reasoning benchmarks for Claude Opus 4.1 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Pro 0423Leader
GPQA Diamond76.3%89.4%DeepSeek V4 Pro 0423
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
GPQA Diamond (Epoch AI run)77.3%90.9%DeepSeek V4 Pro 0423
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Chess puzzlesNot measured19.0%Only DeepSeek V4 Pro 0423 measured
Mystery game puzzles21.0%17.0%Claude Opus 4.1
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421461DeepSeek V4 Pro 0423
LMArena Text: expert14381463DeepSeek V4 Pro 0423
LMArena Text: hard prompts in English14511466DeepSeek V4 Pro 0423
Kagi LLM BenchmarkNot measured53.5%Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Claude Opus 4.1 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Pro 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%96.7%DeepSeek V4 Pro 0423
FrontierMath, tiers 1 to 312.6%45.3%DeepSeek V4 Pro 0423
FrontierMath, tier 42.4%2.4%Tie
ProofBenchNot measured16.0%Only DeepSeek V4 Pro 0423 measured
LMArena Text: math14311443DeepSeek V4 Pro 0423
LMArena Text: mathematical work14341455DeepSeek V4 Pro 0423
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index44
Knowledge benchmarks for Claude Opus 4.1 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Pro 0423Leader
MMLU Pro87.9%87.3%Claude Opus 4.1
LegalBench (Vals AI)83.5%80.3%Claude Opus 4.1
CaseLaw (Vals AI)Not measured59.4%Only DeepSeek V4 Pro 0423 measured
CorpFin (Vals AI)Not measured61.4%Only DeepSeek V4 Pro 0423 measured
TaxEval (Vals AI)73.7%72.1%Claude Opus 4.1
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%40.5%Claude Opus 4.1
SimpleQA VerifiedNot measured47.0%Only DeepSeek V4 Pro 0423 measured
LMArena Text: science14221470DeepSeek V4 Pro 0423
LMArena Text: medicine and healthcare14161466DeepSeek V4 Pro 0423
LMArena Text: legal and government14211464DeepSeek V4 Pro 0423
LMArena Text: business and finance14061443DeepSeek V4 Pro 0423
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index26
Web design benchmarks for Claude Opus 4.1 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Pro 0423Leader
Design Arena: websites11771234DeepSeek V4 Pro 0423
Design Arena: UI components11651222DeepSeek V4 Pro 0423
Design Arena: game dev11711229DeepSeek V4 Pro 0423
Design Arena: data viz11661203DeepSeek V4 Pro 0423
Design Arena: 3D11531254DeepSeek V4 Pro 0423
Design Arena: all code categories11711240DeepSeek V4 Pro 0423
Design Arena: SVG11521140Claude Opus 4.1
Design Arena: ASCII art11671149Claude 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 index020
General benchmarks for Claude Opus 4.1 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Pro 0423Leader
Public Benefits Bench (Vals AI)Not measured62.9%Only DeepSeek V4 Pro 0423 measured
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%75.1%DeepSeek V4 Pro 0423
DTBench80.0%90.7%DeepSeek V4 Pro 0423
LMCA37.1%41.2%DeepSeek V4 Pro 0423
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
Surface Evolver BenchNot measured40.0%Only DeepSeek V4 Pro 0423 measured
CL-bench LifeNot measured13.5%Only DeepSeek V4 Pro 0423 measured
LMArena Text14191451DeepSeek V4 Pro 0423
LMArena Text: instruction following14351445DeepSeek V4 Pro 0423
LMArena Text: creative writing14121446DeepSeek V4 Pro 0423
LMArena Text: English14331459DeepSeek V4 Pro 0423
LMArena Text: non-English14051439DeepSeek V4 Pro 0423
LMArena Text: Chinese14271481DeepSeek V4 Pro 0423
LMArena Text: German14131458DeepSeek V4 Pro 0423
LMArena Text: Japanese13771446DeepSeek V4 Pro 0423
LMArena Text: Korean13811409DeepSeek V4 Pro 0423
LMArena Text: French14331473DeepSeek V4 Pro 0423
LMArena Text: Spanish14481457DeepSeek V4 Pro 0423
LMArena Text: Russian14221453DeepSeek V4 Pro 0423
LMArena Text: Polish14131461DeepSeek V4 Pro 0423
LMArena Text: multi-turn14441468DeepSeek V4 Pro 0423
LMArena Text: longer queries14551458DeepSeek V4 Pro 0423
LMArena Text: writing and language14181447DeepSeek V4 Pro 0423
LMArena Text: entertainment and media13981431DeepSeek V4 Pro 0423
Neither model has a result on the other 21 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 Pro 0423
BenchmarkClaude Opus 4.1DeepSeek V4 Pro 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 Pro 0423$0.0026Fits in one request

DeepSeek V4 Pro 0423 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
DeepSeek V4 Pro 0423$0.069Fits in one request

DeepSeek V4 Pro 0423 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
DeepSeek V4 Pro 0423$0.272Fits in one request

DeepSeek V4 Pro 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 Pro 0423
SpecificationAnthropic Claude Opus 4.1DeepSeek V4 Pro 0423
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2025April 24, 2026
Context window200K1.05M
Input $/Mtok$15.00$1.225
Output $/Mtok$75.00$2.716
Coding indexNot benchmarked38.7
Independent measurements behind it15
Cost per solved taskNot computable$0.57
SourceOpenRouter listingOpenRouter listing

Questions

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

Only DeepSeek V4 Pro 0423 has a coding score, 38.7 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by LMArena Text: coding or Mystery game puzzles, where it leads.

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

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; DeepSeek V4 Pro 0423 costs $1.225 and $2.716. Cost per solved task is known for DeepSeek V4 Pro 0423 only.

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

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

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

55 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and DeepSeek V4 Pro 0423's on 5. Where only one model has a result, the page says so instead of naming a winner.

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