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Claude Opus 4.8 vs DeepSeek V4 Pro 0423

Claude Opus 4.8 leads DeepSeek V4 Pro 0423 on coding, 65.0 to 38.7 on the Vibe Coding Index, and DeepSeek V4 Pro 0423 costs 8.4x less per output token ($2.976 vs $25.00 per million). Updated October 22, 2026; 81 benchmarks have a result for both.

Replace Claude Opus 4.8 Replace DeepSeek V4 Pro 0423
Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
77
DeepSeek V4 Pro 0423DeepSeek
Coding
38.7
Overall
50.0
Output $/M
$2.976
4
vs boards won of 81 shared

Claude Opus 4.8 or DeepSeek V4 Pro 0423: which to pick

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423.

Pick DeepSeek V4 Pro 0423 for output tokens 8.4x cheaper ($2.976 vs $25.00 per million) and a lower cost per solved task ($0.57 against $2.17).

Model AClaude Opus 4.8Anthropic65.0/1006 independent benchmarks$2.17 per solved taskModel BDeepSeek V4 Pro 0423DeepSeek38.7/1005 independent benchmarks$0.57 per solved task
Shared results
81
Claude Opus 4.8 only
49
DeepSeek V4 Pro 0423 only
3
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 Opus 4.8 65.0 from 6 benchmarks, DeepSeek V4 Pro 0423 38.7 from 5 benchmarks.
Widest category
Math, 26.2 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Claude Opus 4.8 56.1% against DeepSeek V4 Pro 0423 2.4%, 53.7 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against DeepSeek V4 Pro 0423 $2.976 per million output tokens, 8.4x apart.
Context window
Claude Opus 4.8 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 Opus 4.8BarsDeepSeek V4 Pro 0423Ties
Coding160
Intelligence20
Agentic work90
Reasoning80
Math60
Knowledge91
Web design71
General202
All shared boards774
CodingLike-for-likeSix of these boards feed the Vibe Coding Index160
Coding benchmarks for Claude Opus 4.8 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.8DeepSeek V4 Pro 0423Leader
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev15561447Claude Opus 4.8
AA Coding Index74.359.4Claude Opus 4.8
LiveCodeBench (Vals AI)87.8%87.5%Claude Opus 4.8
SWE-bench Verified (Vals AI)88.6%77.4%Claude Opus 4.8
Terminal-Bench 4 (Vals AI)23.2%11.1%Claude Opus 4.8
Vibe Code Bench (Vals AI)82.7%49.9%Claude Opus 4.8
Code migration (Vals AI)47.3%26.2%Claude Opus 4.8
ProgramBench (Vals AI)1.0%0.0%Claude Opus 4.8
Terminal-Bench 2.1 (Vals AI)71.9%50.2%Claude Opus 4.8
SkillsBench (Vals AI)59.2%51.3%Claude Opus 4.8
SciCode54.4%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench Hard (Artificial Analysis run)58.3%Not measuredOnly Claude Opus 4.8 measured
FrontierCode46.5%17.6%Claude Opus 4.8
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%48.9%Claude Opus 4.8
ALE-BenchNot measured1006.1Only DeepSeek V4 Pro 0423 measured
LMArena Text: coding14901470Claude Opus 4.8
LMArena Text: software and IT14881469Claude Opus 4.8
LMArena WebDev: React15571441Claude Opus 4.8
LMArena WebDev: HTML15431435Claude Opus 4.8
SciCode12.3%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.8 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.8DeepSeek V4 Pro 0423Leader
AA Intelligence Index41.830.4Claude Opus 4.8
Epoch Capabilities Index159.0149.1Claude Opus 4.8
Agentic workLike-for-likePublic boards, shown as published, kept out of the index90
Agentic work benchmarks for Claude Opus 4.8 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.8DeepSeek V4 Pro 0423Leader
AA Agentic Index41.926.3Claude Opus 4.8
Design Arena: agents building web apps12331000Claude Opus 4.8
Design Arena: agents building full-stack apps1249948Claude Opus 4.8
Design Arena: agents building mobile apps1222Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Android apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Godot games12311059Claude Opus 4.8
Design Arena: agents building games1239Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1171Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides1202Not measuredOnly Claude Opus 4.8 measured
Design Arena: spreadsheets1303Not measuredOnly Claude Opus 4.8 measured
LiveBench research81.8%Not measuredOnly Claude Opus 4.8 measured
LiveBench browser96.0%Not measuredOnly Claude Opus 4.8 measured
LiveBench long agentic48.3%Not measuredOnly Claude Opus 4.8 measured
Finance Agent (Vals AI)53.9%44.1%Claude Opus 4.8
Tax Agent Bench (Vals AI)30.0%25.2%Claude Opus 4.8
Legal Research Bench (Vals AI)43.8%23.1%Claude Opus 4.8
Excel Modeling Benchmark (Vals AI)69.4%51.6%Claude Opus 4.8
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Claude Opus 4.8 measured
Time Horizon Index (Vals AI)11.8%Not measuredOnly Claude Opus 4.8 measured
τ²-Bench Telecom94.4%Not measuredOnly Claude Opus 4.8 measured
APEX-Agents48.9%Not measuredOnly Claude Opus 4.8 measured
Remote Labor Index8.3%Not measuredOnly Claude Opus 4.8 measured
OSWorld 2.020.6%Not measuredOnly Claude Opus 4.8 measured
DeepResearch Bench50.2%Not measuredOnly Claude Opus 4.8 measured
PostTrainBench33.8%Not measuredOnly Claude Opus 4.8 measured
Vending-Bench 2$5,787$3,285Claude Opus 4.8
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Claude Opus 4.8 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.8DeepSeek V4 Pro 0423Leader
GPQA Diamond92.4%89.4%Claude Opus 4.8
LiveBench reasoning89.2%Not measuredOnly Claude Opus 4.8 measured
MMMU Pro (Vals AI)86.6%Not measuredOnly Claude Opus 4.8 measured
GPQA Diamond (Artificial Analysis run)92.0%Not measuredOnly Claude Opus 4.8 measured
Humanity's Last Exam (Artificial Analysis run)48.7%Not measuredOnly Claude Opus 4.8 measured
GPQA Diamond (Epoch AI run)91.0%90.9%Claude Opus 4.8
ARC-AGI92.5%Not measuredOnly Claude Opus 4.8 measured
ARC-AGI-272.1%Not measuredOnly Claude Opus 4.8 measured
SimpleBench64.8%Not measuredOnly Claude Opus 4.8 measured
Chess puzzles52.0%19.0%Claude Opus 4.8
Mystery game puzzles36.0%17.0%Claude Opus 4.8
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts14821461Claude Opus 4.8
LMArena Text: expert15031463Claude Opus 4.8
LMArena Text: hard prompts in English14871466Claude Opus 4.8
LMArena Vision: diagrams1315Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.8 measured
Kagi LLM Benchmark88.8%53.5%Claude Opus 4.8
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Claude Opus 4.8 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.8DeepSeek V4 Pro 0423Leader
OTIS Mock AIME98.3%96.7%Claude Opus 4.8
FrontierMath, tiers 1 to 380.0%45.3%Claude Opus 4.8
FrontierMath, tier 456.1%2.4%Claude Opus 4.8
ProofBench69.0%16.0%Claude Opus 4.8
LMArena Text: math14861443Claude Opus 4.8
LMArena Text: mathematical work14971455Claude Opus 4.8
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
Knowledge benchmarks for Claude Opus 4.8 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.8DeepSeek V4 Pro 0423Leader
MMLU Pro89.6%87.3%Claude Opus 4.8
LegalBench (Vals AI)83.6%80.3%Claude Opus 4.8
CaseLaw (Vals AI)Not measured59.4%Only DeepSeek V4 Pro 0423 measured
CorpFin (Vals AI)66.7%61.4%Claude Opus 4.8
TaxEval (Vals AI)75.6%72.1%Claude Opus 4.8
MortgageTax (Vals AI)69.9%Not measuredOnly Claude Opus 4.8 measured
MedCode (Vals AI)53.2%40.5%Claude Opus 4.8
SimpleQA Verified53.0%47.0%Claude Opus 4.8
LMArena Text: science14771470Claude Opus 4.8
LMArena Text: medicine and healthcare14641466DeepSeek V4 Pro 0423
LMArena Text: legal and government14771464Claude Opus 4.8
LMArena Text: business and finance14581443Claude Opus 4.8
FACTS Benchmark Suite53.5%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index71
Web design benchmarks for Claude Opus 4.8 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.8DeepSeek V4 Pro 0423Leader
Design Arena: websites12581234Claude Opus 4.8
Design Arena: UI components12551219Claude Opus 4.8
Design Arena: game dev12641228Claude Opus 4.8
Design Arena: data viz12401203Claude Opus 4.8
Design Arena: 3D12221253DeepSeek V4 Pro 0423
Design Arena: all code categories12551240Claude Opus 4.8
Design Arena: SVG11951139Claude Opus 4.8
Design Arena: ASCII art12771149Claude Opus 4.8
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index202
General benchmarks for Claude Opus 4.8 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.8DeepSeek V4 Pro 0423Leader
LiveBench data analysis66.0%Not measuredOnly Claude Opus 4.8 measured
Public Benefits Bench (Vals AI)68.1%62.9%Claude Opus 4.8
SAGE (Vals AI)54.8%Not measuredOnly Claude Opus 4.8 measured
MedScribe (Vals AI)85.8%75.1%Claude Opus 4.8
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%Not measuredOnly Claude Opus 4.8 measured
Long context reasoning (AA-LCR)77.7%Not measuredOnly Claude Opus 4.8 measured
DTBench94.9%90.7%Claude Opus 4.8
LMCA57.5%41.2%Claude Opus 4.8
Surface Evolver Bench87.5%40.0%Claude Opus 4.8
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
CL-bench LifeNot measured13.5%Only DeepSeek V4 Pro 0423 measured
LMArena Text14611451Claude Opus 4.8
LMArena Text: instruction following14761445Claude Opus 4.8
LMArena Text: creative writing14541446Claude Opus 4.8
LMArena Vision1294Not measuredOnly Claude Opus 4.8 measured
LMArena Text: English14681459Claude Opus 4.8
LMArena Text: non-English14501439Claude Opus 4.8
LMArena Text: Chinese15061481Claude Opus 4.8
LMArena Text: German14721458Claude Opus 4.8
LMArena Text: Japanese14421446DeepSeek V4 Pro 0423
LMArena Text: Korean14311409Claude Opus 4.8
LMArena Text: French14811473Claude Opus 4.8
LMArena Text: Spanish14651457Claude Opus 4.8
LMArena Text: Russian14741453Claude Opus 4.8
LMArena Text: Polish14591461DeepSeek V4 Pro 0423
LMArena Text: multi-turn14761468Claude Opus 4.8
LMArena Text: longer queries14831458Claude Opus 4.8
LMArena Text: writing and language14611447Claude Opus 4.8
LMArena Text: entertainment and media14401431Claude Opus 4.8
LMArena Vision: English1293Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: Chinese1346Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: reading text1303Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: humor1282Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: creative writing1301Not measuredOnly Claude Opus 4.8 measured
LMArena Document1475Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.8 and DeepSeek V4 Pro 0423
BenchmarkClaude Opus 4.8DeepSeek 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 4.8$0.018Fits 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 Opus 4.8$0.325Fits 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 Opus 4.8$1.25Fits 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 Opus 4.8 and DeepSeek V4 Pro 0423
SpecificationAnthropic Claude Opus 4.8DeepSeek V4 Pro 0423
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedMay 27, 2026April 24, 2026
Context window1M1.05M
Input $/Mtok$5.00$1.358
Output $/Mtok$25.00$2.976
Coding index65.038.7
Independent measurements behind it65
Cost per solved task$2.17$0.57
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than DeepSeek V4 Pro 0423 for coding?

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423. Pick DeepSeek V4 Pro 0423 for output tokens 8.4x cheaper ($2.976 vs $25.00 per million) and a lower cost per solved task ($0.57 against $2.17).

Which is cheaper, Claude Opus 4.8 or DeepSeek V4 Pro 0423?

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; DeepSeek V4 Pro 0423 costs $1.358 and $2.976. Per solved SWE-bench Verified task, Claude Opus 4.8 costs $2.17 and DeepSeek V4 Pro 0423 $0.57.

Which has the bigger context window, Claude Opus 4.8 or DeepSeek V4 Pro 0423?

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

How many benchmarks is the Claude Opus 4.8 vs DeepSeek V4 Pro 0423 comparison based on?

81 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.8's coding index rests on 6 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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