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Claude Sonnet 4.6 vs DeepSeek V3.2 Exp

Claude Sonnet 4.6 leads DeepSeek V3.2 Exp on the Artificial Analysis Intelligence Index, 30.1 to 16.6, and DeepSeek V3.2 Exp costs 36.6x less per output token ($0.41 vs $15.00 per million). Updated October 22, 2026; 48 benchmarks have a result for both.

Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
46
DeepSeek V3.2 ExpDeepSeek
Coding
No data
Overall
No data
Output $/M
$0.41
2
vs boards won of 48 shared

Claude Sonnet 4.6 or DeepSeek V3.2 Exp: which to pick

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; DeepSeek V3.2 Exp has none, so the two cannot be ranked on coding.

Pick DeepSeek V3.2 Exp for output tokens 36.6x cheaper ($0.41 vs $15.00 per million) and work measured by LMArena Text: medicine and healthcare or LMArena Text: German, where it leads.

Shared results
48
Claude Sonnet 4.6 only
70
DeepSeek V3.2 Exp only
11
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 4.6 57.3 from 5 benchmarks, DeepSeek V3.2 Exp not benchmarked.
Widest category
Agentic work, 45.6 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Claude Sonnet 4.6 79.5% against DeepSeek V3.2 Exp 33.9%, 45.6 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against DeepSeek V3.2 Exp $0.41 per million output tokens, 36.6x apart.
Context window
Claude Sonnet 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
CategoryClaude Sonnet 4.6BarsDeepSeek V3.2 ExpTies
Coding60
Intelligence20
Agentic work10
Reasoning50
Math20
Knowledge31
Web design70
General201
All shared boards462
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Claude Sonnet 4.6 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.6DeepSeek V3.2 ExpLeader
Aider polyglotNot measured74.2%Only DeepSeek V3.2 Exp measured
LiveBench coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev15231272Claude Sonnet 4.6
AA Coding Index63.0Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
SWE-bench Verified (Vals AI)77.4%Not measuredOnly Claude Sonnet 4.6 measured
Vibe Code Bench (Vals AI)55.8%Not measuredOnly Claude Sonnet 4.6 measured
Code migration (Vals AI)39.9%Not measuredOnly Claude Sonnet 4.6 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench 2.1 (Vals AI)57.3%Not measuredOnly Claude Sonnet 4.6 measured
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Artificial Analysis run)Not measured78.9%Only DeepSeek V3.2 Exp measured
SciCode50.1%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)53.0%31.1%Claude Sonnet 4.6
Terminal-Bench53.4%Not measuredOnly Claude Sonnet 4.6 measured
FrontierCode24.3%Not measuredOnly Claude Sonnet 4.6 measured
WeirdML66.1%39.5%Claude Sonnet 4.6
LMArena Text: coding15031438Claude Sonnet 4.6
LMArena Text: software and IT14911438Claude Sonnet 4.6
LMArena WebDev: React1512Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: HTML15271281Claude Sonnet 4.6
LMArena WebDev: from an image1529Not measuredOnly Claude Sonnet 4.6 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 Sonnet 4.6 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.6DeepSeek V3.2 ExpLeader
AA Intelligence Index30.116.6Claude Sonnet 4.6
Epoch Capabilities Index152.8144.9Claude Sonnet 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Sonnet 4.6 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.6DeepSeek V3.2 ExpLeader
AA Agentic Index31.8Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building web apps1190Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building full-stack apps1213Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building mobile apps1212Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Godot games1226Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building games1177Not measuredOnly Claude Sonnet 4.6 measured
LiveBench research63.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench browser68.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench long agentic23.1%Not measuredOnly Claude Sonnet 4.6 measured
Finance Agent (Vals AI)51.0%Not measuredOnly Claude Sonnet 4.6 measured
Tax Agent Bench (Vals AI)25.8%Not measuredOnly Claude Sonnet 4.6 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Sonnet 4.6 measured
Excel Modeling Benchmark (Vals AI)60.2%Not measuredOnly Claude Sonnet 4.6 measured
τ²-Bench Telecom79.5%33.9%Claude Sonnet 4.6
APEX-Agents43.0%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld 2.09.3%Not measuredOnly Claude Sonnet 4.6 measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
TheAgentCompanyNot measured42.9%Only DeepSeek V3.2 Exp measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
Vending-Bench 2$7,204Not measuredOnly Claude Sonnet 4.6 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured56.7%Only DeepSeek V3.2 Exp measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Sonnet 4.6 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.6DeepSeek V3.2 ExpLeader
GPQA Diamond85.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench reasoning86.4%Not measuredOnly Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Claude Sonnet 4.6 measured
GPQA Diamond (Artificial Analysis run)87.5%79.7%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)33.6%14.9%Claude Sonnet 4.6
GPQA Diamond (Epoch AI run)87.4%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI86.5%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI-260.4%Not measuredOnly Claude Sonnet 4.6 measured
Chess puzzles23.0%Not measuredOnly Claude Sonnet 4.6 measured
Mystery game puzzles16.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts14851429Claude Sonnet 4.6
LMArena Text: expert15001422Claude Sonnet 4.6
LMArena Text: hard prompts in English14931444Claude Sonnet 4.6
LMArena Vision: diagrams1306Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: homework1311Not measuredOnly Claude Sonnet 4.6 measured
Kagi LLM BenchmarkNot measured52.2%Only DeepSeek V3.2 Exp measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Sonnet 4.6 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.6DeepSeek V3.2 ExpLeader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
AA Math IndexNot measured87.7Only DeepSeek V3.2 Exp measured
AIME 2025 (Artificial Analysis run)Not measured87.7%Only DeepSeek V3.2 Exp measured
OTIS Mock AIME85.8%Not measuredOnly Claude Sonnet 4.6 measured
ProofBench45.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: math14621422Claude Sonnet 4.6
LMArena Text: mathematical work14831433Claude Sonnet 4.6
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for Claude Sonnet 4.6 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.6DeepSeek V3.2 ExpLeader
MMLU Pro87.3%Not measuredOnly Claude Sonnet 4.6 measured
LegalBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%Not measuredOnly Claude Sonnet 4.6 measured
TaxEval (Vals AI)77.1%Not measuredOnly Claude Sonnet 4.6 measured
MortgageTax (Vals AI)67.7%Not measuredOnly Claude Sonnet 4.6 measured
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
MMLU Pro (Artificial Analysis run)Not measured85.0%Only DeepSeek V3.2 Exp measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: science14741443Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511468DeepSeek V3.2 Exp
LMArena Text: legal and government14701419Claude Sonnet 4.6
LMArena Text: business and finance14641412Claude Sonnet 4.6
FACTS Benchmark Suite37.0%Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Sonnet 4.6 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.6DeepSeek V3.2 ExpLeader
Design Arena: websites12841178Claude Sonnet 4.6
Design Arena: UI components12691164Claude Sonnet 4.6
Design Arena: game dev12581144Claude Sonnet 4.6
Design Arena: data viz12781152Claude Sonnet 4.6
Design Arena: 3D12341148Claude Sonnet 4.6
Design Arena: all code categories12751170Claude Sonnet 4.6
Design Arena: SVG11961031Claude Sonnet 4.6
Design Arena: ASCII art1235Not measuredOnly Claude Sonnet 4.6 measured
LiveBench design71.8%Not measuredOnly Claude Sonnet 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index201
General benchmarks for Claude Sonnet 4.6 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.6DeepSeek V3.2 ExpLeader
LiveBench data analysis76.1%Not measuredOnly Claude Sonnet 4.6 measured
Public Benefits Bench (Vals AI)62.5%Not measuredOnly Claude Sonnet 4.6 measured
SAGE (Vals AI)46.6%Not measuredOnly Claude Sonnet 4.6 measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%54.1%Claude Sonnet 4.6
Long context reasoning (AA-LCR)80.0%72.3%Claude Sonnet 4.6
DTBench89.9%87.7%Claude Sonnet 4.6
LMCA46.5%29.1%Claude Sonnet 4.6
Fiction.LiveBenchNot measured83.3%Only DeepSeek V3.2 Exp measured
CL-benchNot measured13.2%Only DeepSeek V3.2 Exp measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
CL-bench LifeNot measured9.5%Only DeepSeek V3.2 Exp measured
LMArena Text14581425Claude Sonnet 4.6
LMArena Text: instruction following14761401Claude Sonnet 4.6
LMArena Text: creative writing14351404Claude Sonnet 4.6
LMArena Vision1283Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: English14721441Claude Sonnet 4.6
LMArena Text: non-English14401404Claude Sonnet 4.6
LMArena Text: Chinese14911461Claude Sonnet 4.6
LMArena Text: German14281440DeepSeek V3.2 Exp
LMArena Text: Japanese14201331Claude Sonnet 4.6
LMArena Text: Korean14101372Claude Sonnet 4.6
LMArena Text: French14651434Claude Sonnet 4.6
LMArena Text: Spanish14641441Claude Sonnet 4.6
LMArena Text: Russian14401412Claude Sonnet 4.6
LMArena Text: Polish14431435Claude Sonnet 4.6
LMArena Text: multi-turn14641422Claude Sonnet 4.6
LMArena Text: longer queries14791418Claude Sonnet 4.6
LMArena Text: writing and language14441407Claude Sonnet 4.6
LMArena Text: entertainment and media14311407Claude Sonnet 4.6
LMArena Vision: English1298Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: Chinese1307Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: reading text1296Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: humor1248Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing1272Not measuredOnly Claude Sonnet 4.6 measured
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 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 Sonnet 4.6 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.6DeepSeek V3.2 ExpLeader
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 4.6$0.011Fits 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 Sonnet 4.6$0.195Fits 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 Sonnet 4.6$0.750Fits 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 Sonnet 4.6 and DeepSeek V3.2 Exp
SpecificationAnthropic Claude Sonnet 4.6DeepSeek V3.2 Exp
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedFebruary 17, 2026September 29, 2025
Context window1M164K
Input $/Mtok$3.00$0.27
Output $/Mtok$15.00$0.41
Coding index57.3Not benchmarked
Independent measurements behind it51
Cost per solved task$1.68Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; DeepSeek V3.2 Exp has none, so the two cannot be ranked on coding. Pick DeepSeek V3.2 Exp for output tokens 36.6x cheaper ($0.41 vs $15.00 per million) and work measured by LMArena Text: medicine and healthcare or LMArena Text: German, where it leads.

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

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; DeepSeek V3.2 Exp costs $0.27 and $0.41. Cost per solved task is known for Claude Sonnet 4.6 only.

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

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

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

48 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.6's coding index rests on 5 independent benchmarks and DeepSeek V3.2 Exp's on 1. Where only one model has a result, the page says so instead of naming a winner.

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