Claude Opus 4.6 vs DeepSeek V3.2 Exp

Updated October 21, 2026. 50 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Opus 4.6 Replace DeepSeek V3.2 Exp

Claude Opus 4.6Anthropic

Coding: 66.9
Overall: 31.9
Output $/M: $25.00

DeepSeek V3.2 ExpDeepSeek

Coding: 55.0
Overall: 16.6
Output $/M: $0.41

vs boards won of 50 shared

Decision reading

Pick Claude Opus 4.6 for coding: it scores 66.9 on the Vibe Coding Index against 55.0 for DeepSeek V3.2 Exp.

Pick DeepSeek V3.2 Exp when output tokens cost 61.0x less, or when the benchmark that matters is IFBench, where it leads.

Model AClaude Opus 4.6Anthropic66.9/1002 independent benchmarks$1.56 per solved task Model BDeepSeek V3.2 ExpDeepSeek55.0/1002 independent benchmarksNo cost per solved task

50587

Shared results: 50
Claude Opus 4.6 only: 58
DeepSeek V3.2 Exp only: 7
Like-for-like categories: 8 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.

Coding
Vibe Coding Index, four public coding benchmarks
Claude Opus 4.6
Claude Opus 4.6 scores 66.9 against 55.0.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Opus 4.6
Claude Opus 4.6 leads, 31.9 against 16.6.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.6 has a GPQA Diamond result, 89.7%.
Directional only
Math
AIME
No call
Only Claude Opus 4.6 has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.6 has a MMLU Pro result, 89.1%.
Directional only
Web design
Design Arena: websites
Claude Opus 4.6
Claude Opus 4.6 leads, 1291 against 1179.
Same board, both measured
Long documents
Listed context window
Claude Opus 4.6
Claude Opus 4.6 takes 1M tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3.2 Exp
Claude Opus 4.6 $0.018, DeepSeek V3.2 Exp $0.0005 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Opus 4.6 has the number, $1.56.
Directional only

At a glance

Coding index: Claude Opus 4.6 66.9 from 2 benchmarks, DeepSeek V3.2 Exp 55.0 from 2 benchmarks.
Widest category: Agentic work, 58.2 points apart on average over 1 shared benchmark.
Widest single gap: τ²-Bench Telecom: Claude Opus 4.6 92.1% against DeepSeek V3.2 Exp 33.9%, 58.2 points apart on a 0 to 100 scale.
Output price: Claude Opus 4.6 $25.00 against DeepSeek V3.2 Exp $0.41 per million output tokens, 61.0x apart.
Context window: Claude Opus 4.6 takes 1M tokens, DeepSeek V3.2 Exp 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
Category	Claude Opus 4.6	DeepSeek V3.2 Exp
Coding	6	0
Intelligence	2	0
Agentic work	1	0
Reasoning	5	0
Math	2	0
Knowledge	4	0
Web design	7	0
General	22	1
All shared boards	49	1

CodingLike-for-likeFour of these boards feed the Vibe Coding Index60

Coding benchmarks for Claude Opus 4.6 and DeepSeek V3.2 Exp
Benchmark	Claude Opus 4.6	DeepSeek V3.2 Exp	Leader
Aider polyglot	Not measured	74.2%	Only DeepSeek V3.2 Exp measured
SWE-bench Verified	75.6%	Not measured	Only Claude Opus 4.6 measured
SWE-bench Multilingual	72.0%	Not measured	Only Claude Opus 4.6 measured
LMArena WebDev	1547	1272	Claude Opus 4.6
LiveCodeBench (Vals AI)	84.7%	Not measured	Only Claude Opus 4.6 measured
SWE-bench Verified (Vals AI)	78.2%	Not measured	Only Claude Opus 4.6 measured
Vibe Code Bench (Vals AI)	57.6%	Not measured	Only Claude Opus 4.6 measured
LiveCodeBench (Artificial Analysis run)	Not measured	78.9%	Only DeepSeek V3.2 Exp measured
Terminal-Bench Hard (Artificial Analysis run)	48.5%	31.1%	Claude Opus 4.6
Terminal-Bench	79.8%	Not measured	Only Claude Opus 4.6 measured
FrontierCode	26.6%	Not measured	Only Claude Opus 4.6 measured
GSO-Bench	41.2%	Not measured	Only Claude Opus 4.6 measured
WeirdML	78.0%	39.5%	Claude Opus 4.6
Cybench	93.0%	Not measured	Only Claude Opus 4.6 measured
LMArena Text: coding	1534	1438	Claude Opus 4.6
LMArena Text: software and IT	1527	1438	Claude Opus 4.6
LMArena WebDev: React	1539	Not measured	Only Claude Opus 4.6 measured
LMArena WebDev: HTML	1559	1281	Claude Opus 4.6
LMArena WebDev: from an image	1543	Not measured	Only Claude Opus 4.6 measured
Neither model has a result on the other 19 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20

Intelligence benchmarks for Claude Opus 4.6 and DeepSeek V3.2 Exp
Benchmark	Claude Opus 4.6	DeepSeek V3.2 Exp	Leader
AA Intelligence Index	31.9	16.6	Claude Opus 4.6
Epoch Capabilities Index	155.7	144.9	Claude Opus 4.6

Agentic workLike-for-likePublic boards, shown as published, kept out of the index10

Agentic work benchmarks for Claude Opus 4.6 and DeepSeek V3.2 Exp
Benchmark	Claude Opus 4.6	DeepSeek V3.2 Exp	Leader
Design Arena: agents building web apps	1206	Not measured	Only Claude Opus 4.6 measured
Design Arena: agents building full-stack apps	1220	Not measured	Only Claude Opus 4.6 measured
Design Arena: agents building mobile apps	1207	Not measured	Only Claude Opus 4.6 measured
Design Arena: agents building Android apps	1204	Not measured	Only Claude Opus 4.6 measured
Design Arena: agents building games	1214	Not measured	Only Claude Opus 4.6 measured
τ²-Bench Telecom	92.1%	33.9%	Claude Opus 4.6
APEX-Agents	46.3%	Not measured	Only Claude Opus 4.6 measured
METR time horizons	78.9%	Not measured	Only Claude Opus 4.6 measured
Remote Labor Index	4.2%	Not measured	Only Claude Opus 4.6 measured
DeepResearch Bench	55.3%	Not measured	Only Claude Opus 4.6 measured
TheAgentCompany	Not measured	42.9%	Only DeepSeek V3.2 Exp measured
Vending-Bench 2	$8,018	Not measured	Only Claude Opus 4.6 measured
Neither model has a result on the other 27 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index50

Reasoning benchmarks for Claude Opus 4.6 and DeepSeek V3.2 Exp
Benchmark	Claude Opus 4.6	DeepSeek V3.2 Exp	Leader
GPQA Diamond	89.7%	Not measured	Only Claude Opus 4.6 measured
MMMU Pro (Vals AI)	83.9%	Not measured	Only Claude Opus 4.6 measured
GPQA Diamond (Artificial Analysis run)	89.6%	79.7%	Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)	39.9%	14.9%	Claude Opus 4.6
GPQA Diamond (Epoch AI run)	90.5%	Not measured	Only Claude Opus 4.6 measured
ARC-AGI	94.0%	Not measured	Only Claude Opus 4.6 measured
ARC-AGI-2	69.2%	Not measured	Only Claude Opus 4.6 measured
SimpleBench	67.6%	Not measured	Only Claude Opus 4.6 measured
Chess puzzles	21.0%	Not measured	Only Claude Opus 4.6 measured
Mystery game puzzles	25.0%	Not measured	Only Claude Opus 4.6 measured
EBR-bench	12.7%	Not measured	Only Claude Opus 4.6 measured
LMArena Text: hard prompts	1525	1429	Claude Opus 4.6
LMArena Text: expert	1544	1422	Claude Opus 4.6
LMArena Text: hard prompts in English	1530	1444	Claude Opus 4.6
LMArena Vision: diagrams	1340	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: homework	1337	Not measured	Only Claude Opus 4.6 measured
Neither model has a result on the other 5 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index20

Math benchmarks for Claude Opus 4.6 and DeepSeek V3.2 Exp
Benchmark	Claude Opus 4.6	DeepSeek V3.2 Exp	Leader
AIME	95.6%	Not measured	Only Claude Opus 4.6 measured
AA Math Index	Not measured	87.7	Only DeepSeek V3.2 Exp measured
AIME 2025 (Artificial Analysis run)	Not measured	87.7%	Only DeepSeek V3.2 Exp measured
OTIS Mock AIME	94.4%	Not measured	Only Claude Opus 4.6 measured
FrontierMath, tiers 1 to 3	66.0%	Not measured	Only Claude Opus 4.6 measured
FrontierMath, tier 4	26.8%	Not measured	Only Claude Opus 4.6 measured
ProofBench	50.0%	Not measured	Only Claude Opus 4.6 measured
LMArena Text: math	1518	1422	Claude Opus 4.6
LMArena Text: mathematical work	1525	1433	Claude Opus 4.6
Neither model has a result on the other 4 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40

Knowledge benchmarks for Claude Opus 4.6 and DeepSeek V3.2 Exp
Benchmark	Claude Opus 4.6	DeepSeek V3.2 Exp	Leader
MMLU Pro	89.1%	Not measured	Only Claude Opus 4.6 measured
LegalBench (Vals AI)	85.3%	Not measured	Only Claude Opus 4.6 measured
CaseLaw (Vals AI)	62.1%	Not measured	Only Claude Opus 4.6 measured
CorpFin (Vals AI)	67.0%	Not measured	Only Claude Opus 4.6 measured
TaxEval (Vals AI)	76.0%	Not measured	Only Claude Opus 4.6 measured
MortgageTax (Vals AI)	68.5%	Not measured	Only Claude Opus 4.6 measured
MedQA (Vals AI)	95.4%	Not measured	Only Claude Opus 4.6 measured
MedCode (Vals AI)	49.1%	Not measured	Only Claude Opus 4.6 measured
MMLU Pro (Artificial Analysis run)	Not measured	85.0%	Only DeepSeek V3.2 Exp measured
SimpleQA Verified	47.0%	Not measured	Only Claude Opus 4.6 measured
LMArena Text: science	1519	1443	Claude Opus 4.6
LMArena Text: medicine and healthcare	1504	1468	Claude Opus 4.6
LMArena Text: legal and government	1512	1419	Claude Opus 4.6
LMArena Text: business and finance	1497	1412	Claude Opus 4.6
Neither model has a result on the other 3 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index70

Web design benchmarks for Claude Opus 4.6 and DeepSeek V3.2 Exp
Benchmark	Claude Opus 4.6	DeepSeek V3.2 Exp	Leader
Design Arena: websites	1291	1179	Claude Opus 4.6
Design Arena: UI components	1284	1166	Claude Opus 4.6
Design Arena: game dev	1278	1145	Claude Opus 4.6
Design Arena: data viz	1279	1152	Claude Opus 4.6
Design Arena: 3D	1274	1148	Claude Opus 4.6
Design Arena: all code categories	1289	1171	Claude Opus 4.6
Design Arena: SVG	1227	1031	Claude Opus 4.6
Design Arena: ASCII art	1254	Not measured	Only Claude Opus 4.6 measured
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index221

General benchmarks for Claude Opus 4.6 and DeepSeek V3.2 Exp
Benchmark	Claude Opus 4.6	DeepSeek V3.2 Exp	Leader
SAGE (Vals AI)	51.6%	Not measured	Only Claude Opus 4.6 measured
MedScribe (Vals AI)	86.7%	Not measured	Only Claude Opus 4.6 measured
IFBench	53.1%	54.1%	DeepSeek V3.2 Exp
Long context reasoning (AA-LCR)	78.0%	72.3%	Claude Opus 4.6
DTBench	91.2%	87.7%	Claude Opus 4.6
LMCA	55.8%	29.1%	Claude Opus 4.6
Fiction.LiveBench	Not measured	83.3%	Only DeepSeek V3.2 Exp measured
CL-bench	20.7%	13.2%	Claude Opus 4.6
Furniture assembly	28.3%	Not measured	Only Claude Opus 4.6 measured
CL-bench Life	17.0%	9.5%	Claude Opus 4.6
LMArena Text	1501	1425	Claude Opus 4.6
LMArena Text: instruction following	1521	1401	Claude Opus 4.6
LMArena Text: creative writing	1505	1404	Claude Opus 4.6
LMArena Vision	1316	Not measured	Only Claude Opus 4.6 measured
LMArena Text: English	1511	1441	Claude Opus 4.6
LMArena Text: non-English	1488	1404	Claude Opus 4.6
LMArena Text: Chinese	1551	1461	Claude Opus 4.6
LMArena Text: German	1500	1440	Claude Opus 4.6
LMArena Text: Japanese	1488	1331	Claude Opus 4.6
LMArena Text: Korean	1464	1372	Claude Opus 4.6
LMArena Text: French	1512	1434	Claude Opus 4.6
LMArena Text: Spanish	1510	1441	Claude Opus 4.6
LMArena Text: Russian	1497	1412	Claude Opus 4.6
LMArena Text: Polish	1499	1435	Claude Opus 4.6
LMArena Text: multi-turn	1511	1422	Claude Opus 4.6
LMArena Text: longer queries	1518	1418	Claude Opus 4.6
LMArena Text: writing and language	1502	1407	Claude Opus 4.6
LMArena Text: entertainment and media	1492	1407	Claude Opus 4.6
LMArena Vision: English	1324	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: Chinese	1370	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: reading text	1326	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: humor	1314	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: recognizing things	1274	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: creative writing	1331	Not measured	Only Claude Opus 4.6 measured
LMArena Document	1507	Not measured	Only Claude Opus 4.6 measured
Neither model has a result on the other 11 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Claude Opus 4.6 and DeepSeek V3.2 Exp
Benchmark	Claude Opus 4.6	DeepSeek V3.2 Exp	Leader
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 4.6$0.018Fits in one request

DeepSeek V3.2 Exp$0.0005Fits in one request

DeepSeek V3.2 Exp costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request

DeepSeek V3.2 Exp$0.015Fits in one request

DeepSeek V3.2 Exp costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request

DeepSeek V3.2 Exp$0.058Exceeds the context window

DeepSeek V3.2 Exp 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 4.6 and DeepSeek V3.2 Exp
Specification	Anthropic Claude Opus 4.6	DeepSeek V3.2 Exp
Maker	Anthropic	DeepSeek
Weights	No public weights listed	Open weights
Released	February 4, 2026	September 29, 2025
Context window	1M	164K
Input $/Mtok	$5.00	$0.27
Output $/Mtok	$25.00	$0.41
Coding index	66.9	55.0
Independent measurements behind it	2	2
Cost per solved task	$1.56	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Claude Opus 4.6 better than DeepSeek V3.2 Exp for coding?

Pick Claude Opus 4.6 for coding: it scores 66.9 on the Vibe Coding Index against 55.0 for DeepSeek V3.2 Exp. Pick DeepSeek V3.2 Exp when output tokens cost 61.0x less, or when the benchmark that matters is IFBench, where it leads.

Which is cheaper, Claude Opus 4.6 or DeepSeek V3.2 Exp?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; DeepSeek V3.2 Exp costs $0.27 and $0.41. Cost per solved task is known for Claude Opus 4.6 only.

Which has the bigger context window, Claude Opus 4.6 or DeepSeek V3.2 Exp?

Claude Opus 4.6, with 1M tokens against 164K.

How many benchmarks is the Claude Opus 4.6 vs DeepSeek V3.2 Exp comparison based on?

50 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.6's coding index rests on 2 independent benchmarks and DeepSeek V3.2 Exp's on 2. Where only one model has a result, the page says so instead of naming a winner.

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Decision reading

Which one for your work

Coding

Intelligence

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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