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Claude Sonnet 4.5 vs DeepSeek V4 Pro 0423

Claude Sonnet 4.5 leads DeepSeek V4 Pro 0423 on coding, 39.5 to 38.7 on the Vibe Coding Index, and DeepSeek V4 Pro 0423 costs 5.0x less per output token ($2.976 vs $15.00 per million). Updated October 22, 2026; 69 benchmarks have a result for both.

Replace Claude Sonnet 4.5 Replace DeepSeek V4 Pro 0423
Claude Sonnet 4.5Anthropic
Coding
39.5
Overall
49.5
Output $/M
$15.00
23
DeepSeek V4 Pro 0423DeepSeek
Coding
38.7
Overall
50.0
Output $/M
$2.976
44
vs boards won of 69 shared, 2 tied

Claude Sonnet 4.5 or DeepSeek V4 Pro 0423: which to pick

Claude Sonnet 4.5 and DeepSeek V4 Pro 0423 are level for coding, 39.5 against 38.7 on the Vibe Coding Index, so price and context decide.

Pick DeepSeek V4 Pro 0423 for output tokens 5.0x cheaper ($2.976 vs $15.00 per million) and a lower cost per solved task ($0.57 against $1.16). Pick Claude Sonnet 4.5 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AClaude Sonnet 4.5Anthropic39.5/1003 independent benchmarks$1.16 per solved taskModel BDeepSeek V4 Pro 0423DeepSeek38.7/1005 independent benchmarks$0.57 per solved task
Shared results
69
Claude Sonnet 4.5 only
26
DeepSeek V4 Pro 0423 only
15
Like-for-like categories
8 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 Sonnet 4.5 39.5 from 3 benchmarks, DeepSeek V4 Pro 0423 38.7 from 5 benchmarks.
Widest category
Agentic work, 8.6 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Sonnet 4.5 22.6% against DeepSeek V4 Pro 0423 49.9%, 27.3 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against DeepSeek V4 Pro 0423 $2.976 per million output tokens, 5.0x apart.
Context window
Claude Sonnet 4.5 takes 1M 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 Sonnet 4.5BarsDeepSeek V4 Pro 0423Ties
Coding28
Intelligence02
Agentic work31
Reasoning431 tie
Math321 tie
Knowledge65
Web design17
General416
All shared boards23442 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index28
Coding benchmarks for Claude Sonnet 4.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Sonnet 4.5DeepSeek V4 Pro 0423Leader
SWE-bench Verified74.8%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev13941447DeepSeek V4 Pro 0423
AA Coding Index52.159.4DeepSeek V4 Pro 0423
LiveCodeBench (Vals AI)73.0%87.5%DeepSeek V4 Pro 0423
SWE-bench Verified (Vals AI)70.0%77.4%DeepSeek V4 Pro 0423
Terminal-Bench 4 (Vals AI)Not measured11.1%Only DeepSeek V4 Pro 0423 measured
Vibe Code Bench (Vals AI)22.6%49.9%DeepSeek V4 Pro 0423
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-Bench46.5%Not measuredOnly Claude Sonnet 4.5 measured
FrontierCodeNot measured17.6%Only DeepSeek V4 Pro 0423 measured
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%48.9%DeepSeek V4 Pro 0423
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
ALE-BenchNot measured1006.1Only DeepSeek V4 Pro 0423 measured
LMArena Text: coding14881470Claude Sonnet 4.5
LMArena Text: software and IT14731469Claude Sonnet 4.5
LMArena WebDev: React13861441DeepSeek V4 Pro 0423
LMArena WebDev: HTML13991435DeepSeek V4 Pro 0423
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Sonnet 4.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Sonnet 4.5DeepSeek V4 Pro 0423Leader
AA Intelligence Index20.730.4DeepSeek V4 Pro 0423
Epoch Capabilities Index146.7149.1DeepSeek V4 Pro 0423
Agentic workLike-for-likePublic boards, shown as published, kept out of the index31
Agentic work benchmarks for Claude Sonnet 4.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Sonnet 4.5DeepSeek V4 Pro 0423Leader
AA Agentic Index15.826.3DeepSeek V4 Pro 0423
Design Arena: agents building web apps10601000Claude Sonnet 4.5
Design Arena: agents building full-stack apps1050948Claude Sonnet 4.5
Design Arena: agents building mobile apps1137Not measuredOnly Claude Sonnet 4.5 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 horizons67.4%Not measuredOnly Claude Sonnet 4.5 measured
Remote Labor Index2.1%Not measuredOnly Claude Sonnet 4.5 measured
GDPval42.5%Not measuredOnly Claude Sonnet 4.5 measured
DeepResearch Bench52.6%Not measuredOnly Claude Sonnet 4.5 measured
OSWorld62.9%Not measuredOnly Claude Sonnet 4.5 measured
Vending-Bench 2$3,839$3,285Claude Sonnet 4.5
Berkeley Function Calling Leaderboard (BFCL)73.2%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index43
Reasoning benchmarks for Claude Sonnet 4.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Sonnet 4.5DeepSeek V4 Pro 0423Leader
GPQA Diamond81.6%89.4%DeepSeek V4 Pro 0423
MMMU Pro (Vals AI)79.3%Not measuredOnly Claude Sonnet 4.5 measured
GPQA Diamond (Epoch AI run)82.3%90.9%DeepSeek V4 Pro 0423
ARC-AGI63.7%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI-213.6%Not measuredOnly Claude Sonnet 4.5 measured
SimpleBench54.3%Not measuredOnly Claude Sonnet 4.5 measured
Chess puzzles10.0%19.0%DeepSeek V4 Pro 0423
Mystery game puzzles17.0%17.0%Tie
EBR-bench2.4%Not measuredOnly Claude Sonnet 4.5 measured
VPCT39.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts14621461Claude Sonnet 4.5
LMArena Text: expert14831463Claude Sonnet 4.5
LMArena Text: hard prompts in English14711466Claude Sonnet 4.5
Kagi LLM Benchmark57.9%53.5%Claude Sonnet 4.5
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index32
Math benchmarks for Claude Sonnet 4.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Sonnet 4.5DeepSeek V4 Pro 0423Leader
AIME88.2%Not measuredOnly Claude Sonnet 4.5 measured
MGSM (Vals AI)94.3%Not measuredOnly Claude Sonnet 4.5 measured
OTIS Mock AIME77.8%96.7%DeepSeek V4 Pro 0423
FrontierMath, tiers 1 to 323.9%45.3%DeepSeek V4 Pro 0423
FrontierMath, tier 42.4%2.4%Tie
ProofBench19.0%16.0%Claude Sonnet 4.5
MATH level 597.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: math14491443Claude Sonnet 4.5
LMArena Text: mathematical work14621455Claude Sonnet 4.5
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index65
Knowledge benchmarks for Claude Sonnet 4.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Sonnet 4.5DeepSeek V4 Pro 0423Leader
MMLU Pro87.4%87.3%Claude Sonnet 4.5
LegalBench (Vals AI)84.1%80.3%Claude Sonnet 4.5
CaseLaw (Vals AI)62.2%59.4%Claude Sonnet 4.5
CorpFin (Vals AI)62.0%61.4%Claude Sonnet 4.5
TaxEval (Vals AI)73.3%72.1%Claude Sonnet 4.5
MortgageTax (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.5 measured
MedQA (Vals AI)94.7%Not measuredOnly Claude Sonnet 4.5 measured
MedCode (Vals AI)44.1%40.5%Claude Sonnet 4.5
SimpleQA Verified30.7%47.0%DeepSeek V4 Pro 0423
LMArena Text: science14481470DeepSeek V4 Pro 0423
LMArena Text: medicine and healthcare14441466DeepSeek V4 Pro 0423
LMArena Text: legal and government14511464DeepSeek V4 Pro 0423
LMArena Text: business and finance14401443DeepSeek V4 Pro 0423
FACTS Benchmark Suite40.6%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for Claude Sonnet 4.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Sonnet 4.5DeepSeek V4 Pro 0423Leader
Design Arena: websites11891234DeepSeek V4 Pro 0423
Design Arena: UI components11701219DeepSeek V4 Pro 0423
Design Arena: game dev11661228DeepSeek V4 Pro 0423
Design Arena: data viz11671203DeepSeek V4 Pro 0423
Design Arena: 3D11571253DeepSeek V4 Pro 0423
Design Arena: all code categories11821240DeepSeek V4 Pro 0423
Design Arena: SVG11151139DeepSeek V4 Pro 0423
Design Arena: ASCII art12051149Claude Sonnet 4.5
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index416
General benchmarks for Claude Sonnet 4.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Sonnet 4.5DeepSeek V4 Pro 0423Leader
Public Benefits Bench (Vals AI)Not measured62.9%Only DeepSeek V4 Pro 0423 measured
SAGE (Vals AI)36.1%Not measuredOnly Claude Sonnet 4.5 measured
MedScribe (Vals AI)84.5%75.1%Claude Sonnet 4.5
DTBench83.2%90.7%DeepSeek V4 Pro 0423
LMCA38.8%41.2%DeepSeek V4 Pro 0423
Surface Evolver BenchNot measured40.0%Only DeepSeek V4 Pro 0423 measured
CL-bench LifeNot measured13.5%Only DeepSeek V4 Pro 0423 measured
LMArena Text14381451DeepSeek V4 Pro 0423
LMArena Text: instruction following14591445Claude Sonnet 4.5
LMArena Text: creative writing14421446DeepSeek V4 Pro 0423
LMArena Text: English14501459DeepSeek V4 Pro 0423
LMArena Text: non-English14251439DeepSeek V4 Pro 0423
LMArena Text: Chinese14601481DeepSeek V4 Pro 0423
LMArena Text: German14271458DeepSeek V4 Pro 0423
LMArena Text: Japanese13901446DeepSeek V4 Pro 0423
LMArena Text: Korean14021409DeepSeek V4 Pro 0423
LMArena Text: French14591473DeepSeek V4 Pro 0423
LMArena Text: Spanish14581457Claude Sonnet 4.5
LMArena Text: Russian14371453DeepSeek V4 Pro 0423
LMArena Text: Polish14231461DeepSeek V4 Pro 0423
LMArena Text: multi-turn14651468DeepSeek V4 Pro 0423
LMArena Text: longer queries14751458Claude Sonnet 4.5
LMArena Text: writing and language14421447DeepSeek V4 Pro 0423
LMArena Text: entertainment and media14281431DeepSeek V4 Pro 0423
LMArena Document1450Not measuredOnly Claude Sonnet 4.5 measured
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 Sonnet 4.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Sonnet 4.5DeepSeek 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 Sonnet 4.5$0.011Fits in one request
DeepSeek V4 Pro 0423$0.0028Fits in one request

DeepSeek V4 Pro 0423 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.5$0.195Fits in one request
DeepSeek V4 Pro 0423$0.077Fits in one request

DeepSeek V4 Pro 0423 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.5$0.750Fits in one request
DeepSeek V4 Pro 0423$0.301Fits 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 Sonnet 4.5 and DeepSeek V4 Pro 0423
SpecificationAnthropic Claude Sonnet 4.5DeepSeek V4 Pro 0423
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedSeptember 29, 2025April 24, 2026
Context window1M1.05M
Input $/Mtok$3.00$1.358
Output $/Mtok$15.00$2.976
Coding index39.538.7
Independent measurements behind it35
Cost per solved task$1.16$0.57
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 better than DeepSeek V4 Pro 0423 for coding?

Claude Sonnet 4.5 and DeepSeek V4 Pro 0423 are level for coding, 39.5 against 38.7 on the Vibe Coding Index, so price and context decide. Pick DeepSeek V4 Pro 0423 for output tokens 5.0x cheaper ($2.976 vs $15.00 per million) and a lower cost per solved task ($0.57 against $1.16). Pick Claude Sonnet 4.5 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Claude Sonnet 4.5 or DeepSeek V4 Pro 0423?

Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; DeepSeek V4 Pro 0423 costs $1.358 and $2.976. Per solved SWE-bench Verified task, Claude Sonnet 4.5 costs $1.16 and DeepSeek V4 Pro 0423 $0.57.

Which has the bigger context window, Claude Sonnet 4.5 or DeepSeek V4 Pro 0423?

DeepSeek V4 Pro 0423, with 1.05M tokens against 1M.

How many benchmarks is the Claude Sonnet 4.5 vs DeepSeek V4 Pro 0423 comparison based on?

69 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.5's coding index rests on 3 independent benchmarks 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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