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Claude Opus 4.8 vs DeepSeek V3 0324

Updated October 21, 2026. 22 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.8Anthropic
Coding
66.0
Overall
41.8
Output $/M
$25.00
22
DeepSeek V3 0324DeepSeek
Coding
42.0
Overall
9.7
Output $/M
$1.14
0
vs boards won of 22 shared

Decision reading

Pick Claude Opus 4.8 for coding: it scores 66.0 on the Vibe Coding Index against 42.0 for DeepSeek V3 0324.

Pick DeepSeek V3 0324 when output tokens cost 21.9x less.

Shared results
22
Claude Opus 4.8 only
104
DeepSeek V3 0324 only
13
Like-for-like categories
7 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
Claude Opus 4.8 66.0 from 2 benchmarks, DeepSeek V3 0324 42.0 from 1 benchmark.
Widest category
Math, 60.6 points apart on average over 1 shared benchmark.
Widest single gap
OTIS Mock AIME: Claude Opus 4.8 98.3% against DeepSeek V3 0324 37.8%, 60.6 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against DeepSeek V3 0324 $1.14 per million output tokens, 21.9x apart.
Context window
Claude Opus 4.8 takes 1M tokens, DeepSeek V3 0324 164K.

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 V3 0324Ties
Coding50
Intelligence10
Agentic work20
Reasoning50
Math10
Knowledge40
General40
All shared boards220
CodingLike-for-likeFour of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Opus 4.8 and DeepSeek V3 0324
BenchmarkClaude Opus 4.8DeepSeek V3 0324Leader
SWE-bench VerifiedNot measured42.0%Only DeepSeek V3 0324 measured
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev1556Not measuredOnly Claude Opus 4.8 measured
AA Coding Index74.321.2Claude Opus 4.8
LiveCodeBench (Vals AI)87.8%65.5%Claude Opus 4.8
SWE-bench Verified (Vals AI)88.6%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 4 (Vals AI)23.2%Not measuredOnly Claude Opus 4.8 measured
Vibe Code Bench (Vals AI)82.7%Not measuredOnly Claude Opus 4.8 measured
Code migration (Vals AI)47.3%Not measuredOnly Claude Opus 4.8 measured
ProgramBench (Vals AI)1.0%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 2.1 (Vals AI)71.9%Not measuredOnly Claude Opus 4.8 measured
SkillsBench (Vals AI)59.2%Not measuredOnly Claude Opus 4.8 measured
LiveCodeBench (Artificial Analysis run)Not measured40.5%Only DeepSeek V3 0324 measured
SciCode54.4%39.0%Claude Opus 4.8
Terminal-Bench Hard (Artificial Analysis run)58.3%15.2%Claude Opus 4.8
FrontierCode46.5%Not measuredOnly Claude Opus 4.8 measured
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%36.1%Claude Opus 4.8
LMArena Text: coding1490Not measuredOnly Claude Opus 4.8 measured
LMArena Text: software and IT1488Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev: React1557Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev: HTML1543Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.8 and DeepSeek V3 0324
BenchmarkClaude Opus 4.8DeepSeek V3 0324Leader
AA Intelligence Index41.89.7Claude Opus 4.8
Epoch Capabilities Index159.0Not measuredOnly Claude Opus 4.8 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Opus 4.8 and DeepSeek V3 0324
BenchmarkClaude Opus 4.8DeepSeek V3 0324Leader
AA Agentic Index41.90.8Claude Opus 4.8
Design Arena: agents building web apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building full-stack apps1249Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building mobile apps1222Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Android apps1237Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Godot games1231Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building games1238Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1221Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides1227Not 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%Not measuredOnly Claude Opus 4.8 measured
Tax Agent Bench (Vals AI)30.0%Not measuredOnly Claude Opus 4.8 measured
Legal Research Bench (Vals AI)43.8%Not measuredOnly Claude Opus 4.8 measured
Excel Modeling Benchmark (Vals AI)69.4%Not measuredOnly Claude Opus 4.8 measured
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%47.1%Claude Opus 4.8
APEX-Agents48.9%Not measuredOnly Claude Opus 4.8 measured
METR time horizonsNot measured49.6%Only DeepSeek V3 0324 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$5,787Not measuredOnly Claude Opus 4.8 measured
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 12 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Opus 4.8 and DeepSeek V3 0324
BenchmarkClaude Opus 4.8DeepSeek V3 0324Leader
GPQA Diamond92.4%61.6%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%65.5%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%4.7%Claude Opus 4.8
GPQA Diamond (Epoch AI run)91.0%67.6%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%27.2%Claude Opus 4.8
Chess puzzles52.0%Not measuredOnly Claude Opus 4.8 measured
Mystery game puzzles36.0%Not measuredOnly Claude Opus 4.8 measured
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts1482Not measuredOnly Claude Opus 4.8 measured
LMArena Text: expert1503Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts in English1487Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: diagrams1315Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for Claude Opus 4.8 and DeepSeek V3 0324
BenchmarkClaude Opus 4.8DeepSeek V3 0324Leader
AIMENot measured52.2%Only DeepSeek V3 0324 measured
MATH 500 (Vals AI)Not measured88.6%Only DeepSeek V3 0324 measured
MGSM (Vals AI)Not measured91.7%Only DeepSeek V3 0324 measured
AA Math IndexNot measured41.0Only DeepSeek V3 0324 measured
AIME 2025 (Artificial Analysis run)Not measured41.0%Only DeepSeek V3 0324 measured
OTIS Mock AIME98.3%37.8%Claude Opus 4.8
FrontierMath, tiers 1 to 380.0%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tier 456.1%Not measuredOnly Claude Opus 4.8 measured
ProofBench69.0%Not measuredOnly Claude Opus 4.8 measured
MATH level 5Not measured75.5%Only DeepSeek V3 0324 measured
LMArena Text: math1486Not measuredOnly Claude Opus 4.8 measured
LMArena Text: mathematical work1497Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Opus 4.8 and DeepSeek V3 0324
BenchmarkClaude Opus 4.8DeepSeek V3 0324Leader
MMLU Pro89.6%79.5%Claude Opus 4.8
LegalBench (Vals AI)83.6%77.7%Claude Opus 4.8
CorpFin (Vals AI)66.7%54.7%Claude Opus 4.8
TaxEval (Vals AI)75.6%71.1%Claude Opus 4.8
MortgageTax (Vals AI)69.9%Not measuredOnly Claude Opus 4.8 measured
MedQA (Vals AI)Not measured82.0%Only DeepSeek V3 0324 measured
MedCode (Vals AI)53.2%Not measuredOnly Claude Opus 4.8 measured
MMLU Pro (Artificial Analysis run)Not measured81.9%Only DeepSeek V3 0324 measured
SimpleQA Verified53.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: science1477Not measuredOnly Claude Opus 4.8 measured
LMArena Text: medicine and healthcare1464Not measuredOnly Claude Opus 4.8 measured
LMArena Text: legal and government1477Not measuredOnly Claude Opus 4.8 measured
LMArena Text: business and finance1458Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Opus 4.8 and DeepSeek V3 0324
BenchmarkClaude Opus 4.8DeepSeek V3 0324Leader
Design Arena: websites1258Not measuredOnly Claude Opus 4.8 measured
Design Arena: UI components1256Not measuredOnly Claude Opus 4.8 measured
Design Arena: game dev1264Not measuredOnly Claude Opus 4.8 measured
Design Arena: data viz1240Not measuredOnly Claude Opus 4.8 measured
Design Arena: 3D1223Not measuredOnly Claude Opus 4.8 measured
Design Arena: all code categories1255Not measuredOnly Claude Opus 4.8 measured
Design Arena: SVG1194Not measuredOnly Claude Opus 4.8 measured
Design Arena: ASCII art1276Not measuredOnly Claude Opus 4.8 measured
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index40
General benchmarks for Claude Opus 4.8 and DeepSeek V3 0324
BenchmarkClaude Opus 4.8DeepSeek V3 0324Leader
LiveBench data analysis66.0%Not measuredOnly Claude Opus 4.8 measured
Public Benefits Bench (Vals AI)68.1%Not measuredOnly Claude Opus 4.8 measured
SAGE (Vals AI)54.8%Not measuredOnly Claude Opus 4.8 measured
MedScribe (Vals AI)85.8%Not measuredOnly Claude Opus 4.8 measured
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%41.0%Claude Opus 4.8
Long context reasoning (AA-LCR)77.7%40.7%Claude Opus 4.8
DTBench94.9%64.8%Claude Opus 4.8
LMCA57.5%15.5%Claude Opus 4.8
Fiction.LiveBenchNot measured50.0%Only DeepSeek V3 0324 measured
Creative writing (Lech Mazur)Not measured77.0%Only DeepSeek V3 0324 measured
Surface Evolver Bench87.5%Not measuredOnly Claude Opus 4.8 measured
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
LMArena Text1461Not measuredOnly Claude Opus 4.8 measured
LMArena Text: instruction following1476Not measuredOnly Claude Opus 4.8 measured
LMArena Text: creative writing1454Not measuredOnly Claude Opus 4.8 measured
LMArena Vision1294Not measuredOnly Claude Opus 4.8 measured
LMArena Text: English1468Not measuredOnly Claude Opus 4.8 measured
LMArena Text: non-English1450Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Chinese1506Not measuredOnly Claude Opus 4.8 measured
LMArena Text: German1472Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Japanese1442Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Korean1431Not measuredOnly Claude Opus 4.8 measured
LMArena Text: French1481Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Spanish1465Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Russian1474Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Polish1459Not measuredOnly Claude Opus 4.8 measured
LMArena Text: multi-turn1476Not measuredOnly Claude Opus 4.8 measured
LMArena Text: longer queries1483Not measuredOnly Claude Opus 4.8 measured
LMArena Text: writing and language1461Not measuredOnly Claude Opus 4.8 measured
LMArena Text: entertainment and media1440Not measuredOnly Claude Opus 4.8 measured
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 9 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 V3 0324
BenchmarkClaude Opus 4.8DeepSeek V3 0324Leader
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 V3 0324$0.0009Fits in one request

DeepSeek V3 0324 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.8$0.325Fits in one request
DeepSeek V3 0324$0.018Fits in one request

DeepSeek V3 0324 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.8$1.25Fits in one request
DeepSeek V3 0324$0.069Exceeds the context window

DeepSeek V3 0324 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 V3 0324
SpecificationAnthropic Claude Opus 4.8DeepSeek V3 0324
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedMay 27, 2026March 24, 2025
Context window1M164K
Input $/Mtok$5.00$0.29
Output $/Mtok$25.00$1.14
Coding index66.042.0
Independent measurements behind it21
Cost per solved task$2.17Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than DeepSeek V3 0324 for coding?

Pick Claude Opus 4.8 for coding: it scores 66.0 on the Vibe Coding Index against 42.0 for DeepSeek V3 0324. Pick DeepSeek V3 0324 when output tokens cost 21.9x less.

Which is cheaper, Claude Opus 4.8 or DeepSeek V3 0324?

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; DeepSeek V3 0324 costs $0.29 and $1.14. Cost per solved task is known for Claude Opus 4.8 only.

Which has the bigger context window, Claude Opus 4.8 or DeepSeek V3 0324?

Claude Opus 4.8, with 1M tokens against 164K.

How many benchmarks is the Claude Opus 4.8 vs DeepSeek V3 0324 comparison based on?

22 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.8's coding index rests on 2 independent benchmarks and DeepSeek V3 0324's on 1. Where only one model has a result, the page says so instead of naming a winner.

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