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Claude Sonnet 4.6 vs DeepSeek V3.2

Claude Sonnet 4.6 leads DeepSeek V3.2 on coding, 57.3 to 30.0 on the Vibe Coding Index, and DeepSeek V3.2 costs 17.0x less per output token ($0.88 vs $15.00 per million). Updated October 21, 2026; 66 benchmarks have a result for both.

Replace Claude Sonnet 4.6 Replace DeepSeek V3.2
Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
63
DeepSeek V3.2DeepSeek
Coding
30.0
Overall
37.9
Output $/M
$0.88
3
vs boards won of 66 shared

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

Pick Claude Sonnet 4.6 for coding: it scores 57.3 on the Vibe Coding Index against 30.0 for DeepSeek V3.2.

Pick DeepSeek V3.2 for output tokens 17.0x cheaper ($0.88 vs $15.00 per million) and a lower cost per solved task ($0.99 against $1.68).

Model AClaude Sonnet 4.6Anthropic57.3/1005 independent benchmarks$1.68 per solved taskModel BDeepSeek V3.2DeepSeek30.0/1003 independent benchmarks$0.99 per solved task
Shared results
66
Claude Sonnet 4.6 only
52
DeepSeek V3.2 only
9
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 30.0 from 3 benchmarks.
Widest category
Agentic work, 23.8 points apart on average over 3 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Sonnet 4.6 60.4% against DeepSeek V3.2 4.0%, 56.4 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against DeepSeek V3.2 $0.88 per million output tokens, 17.0x apart.
Context window
Claude Sonnet 4.6 takes 1M tokens, DeepSeek V3.2 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 V3.2Ties
Coding110
Intelligence20
Agentic work21
Reasoning80
Math30
Knowledge91
Web design80
General201
All shared boards633
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
Coding benchmarks for Claude Sonnet 4.6 and DeepSeek V3.2
BenchmarkClaude Sonnet 4.6DeepSeek V3.2Leader
SWE-bench VerifiedNot measured70.0%Only DeepSeek V3.2 measured
SWE-bench MultilingualNot measured59.0%Only DeepSeek V3.2 measured
LiveBench coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev15231362Claude Sonnet 4.6
AA Coding Index63.044.2Claude Sonnet 4.6
LiveCodeBench (Vals AI)82.1%80.7%Claude Sonnet 4.6
SWE-bench Verified (Vals AI)77.4%67.6%Claude Sonnet 4.6
Vibe Code Bench (Vals AI)55.8%5.1%Claude Sonnet 4.6
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 measured86.2%Only DeepSeek V3.2 measured
SciCode50.1%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)53.0%35.6%Claude Sonnet 4.6
Terminal-Bench53.4%39.6%Claude Sonnet 4.6
FrontierCode24.3%Not measuredOnly Claude Sonnet 4.6 measured
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: coding15031453Claude Sonnet 4.6
LMArena Text: software and IT14911449Claude Sonnet 4.6
LMArena WebDev: React15121350Claude Sonnet 4.6
LMArena WebDev: HTML15271371Claude Sonnet 4.6
LMArena WebDev: from an image1529Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 16 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
BenchmarkClaude Sonnet 4.6DeepSeek V3.2Leader
AA Intelligence Index30.121.5Claude Sonnet 4.6
Epoch Capabilities Index152.8146.1Claude Sonnet 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index21
Agentic work benchmarks for Claude Sonnet 4.6 and DeepSeek V3.2
BenchmarkClaude Sonnet 4.6DeepSeek V3.2Leader
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 apps1196Not 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%90.6%DeepSeek V3.2
APEX-Agents43.0%21.3%Claude Sonnet 4.6
OSWorld 2.09.3%Not measuredOnly Claude Sonnet 4.6 measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
Vending-Bench 2$7,204$1,034Claude Sonnet 4.6
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Claude Sonnet 4.6 and DeepSeek V3.2
BenchmarkClaude Sonnet 4.6DeepSeek V3.2Leader
GPQA Diamond85.6%80.3%Claude Sonnet 4.6
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%84.0%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)33.6%24.6%Claude Sonnet 4.6
GPQA Diamond (Epoch AI run)87.4%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI86.5%57.0%Claude Sonnet 4.6
ARC-AGI-260.4%4.0%Claude Sonnet 4.6
Chess puzzles23.0%Not measuredOnly Claude Sonnet 4.6 measured
Mystery game puzzles16.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts14851434Claude Sonnet 4.6
LMArena Text: expert15001436Claude Sonnet 4.6
LMArena Text: hard prompts in English14931446Claude Sonnet 4.6
LMArena Vision: diagrams1306Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: homework1311Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Sonnet 4.6 and DeepSeek V3.2
BenchmarkClaude Sonnet 4.6DeepSeek V3.2Leader
AIME92.3%84.6%Claude Sonnet 4.6
MGSM (Vals AI)Not measured86.0%Only DeepSeek V3.2 measured
AA Math IndexNot measured92.0Only DeepSeek V3.2 measured
AIME 2025 (Artificial Analysis run)Not measured92.0%Only DeepSeek V3.2 measured
OTIS Mock AIME85.8%Not measuredOnly Claude Sonnet 4.6 measured
ProofBench45.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: math14621435Claude Sonnet 4.6
LMArena Text: mathematical work14831440Claude Sonnet 4.6
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
Knowledge benchmarks for Claude Sonnet 4.6 and DeepSeek V3.2
BenchmarkClaude Sonnet 4.6DeepSeek V3.2Leader
MMLU Pro87.3%84.9%Claude Sonnet 4.6
LegalBench (Vals AI)82.1%76.1%Claude Sonnet 4.6
CaseLaw (Vals AI)64.0%55.4%Claude Sonnet 4.6
CorpFin (Vals AI)65.3%51.0%Claude Sonnet 4.6
TaxEval (Vals AI)77.1%68.2%Claude Sonnet 4.6
MortgageTax (Vals AI)67.7%Not measuredOnly Claude Sonnet 4.6 measured
MedQA (Vals AI)92.1%93.9%DeepSeek V3.2
MMLU Pro (Artificial Analysis run)Not measured86.2%Only DeepSeek V3.2 measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: science14741446Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511440Claude Sonnet 4.6
LMArena Text: legal and government14701425Claude Sonnet 4.6
LMArena Text: business and finance14641410Claude 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 index80
Web design benchmarks for Claude Sonnet 4.6 and DeepSeek V3.2
BenchmarkClaude Sonnet 4.6DeepSeek V3.2Leader
Design Arena: websites12851175Claude Sonnet 4.6
Design Arena: UI components12721149Claude Sonnet 4.6
Design Arena: game dev12591132Claude Sonnet 4.6
Design Arena: data viz12771158Claude Sonnet 4.6
Design Arena: 3D12341133Claude Sonnet 4.6
Design Arena: all code categories12761164Claude Sonnet 4.6
Design Arena: SVG11971032Claude Sonnet 4.6
Design Arena: ASCII art12351083Claude Sonnet 4.6
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
BenchmarkClaude Sonnet 4.6DeepSeek V3.2Leader
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%60.7%DeepSeek V3.2
Long context reasoning (AA-LCR)80.0%73.3%Claude Sonnet 4.6
DTBench89.9%85.6%Claude Sonnet 4.6
LMCA46.5%28.8%Claude Sonnet 4.6
CL-benchNot measured12.4%Only DeepSeek V3.2 measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
CL-bench LifeNot measured7.4%Only DeepSeek V3.2 measured
LMArena Text14581425Claude Sonnet 4.6
LMArena Text: instruction following14761413Claude Sonnet 4.6
LMArena Text: creative writing14351400Claude Sonnet 4.6
LMArena Vision1283Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: English14721439Claude Sonnet 4.6
LMArena Text: non-English14401409Claude Sonnet 4.6
LMArena Text: Chinese14911455Claude Sonnet 4.6
LMArena Text: German14281413Claude Sonnet 4.6
LMArena Text: Japanese14201374Claude Sonnet 4.6
LMArena Text: Korean14101370Claude Sonnet 4.6
LMArena Text: French14651429Claude Sonnet 4.6
LMArena Text: Spanish14641424Claude Sonnet 4.6
LMArena Text: Russian14401424Claude Sonnet 4.6
LMArena Text: Polish14431419Claude Sonnet 4.6
LMArena Text: multi-turn14641427Claude Sonnet 4.6
LMArena Text: longer queries14791428Claude Sonnet 4.6
LMArena Text: writing and language14441407Claude Sonnet 4.6
LMArena Text: entertainment and media14311395Claude 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 10 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
BenchmarkClaude Sonnet 4.6DeepSeek V3.2Leader
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$0.0007Fits in one request

DeepSeek V3.2 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
DeepSeek V3.2$0.017Fits in one request

DeepSeek V3.2 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
DeepSeek V3.2$0.067Exceeds the context window

DeepSeek V3.2 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
SpecificationAnthropic Claude Sonnet 4.6DeepSeek V3.2
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedFebruary 17, 2026December 1, 2025
Context window1M164K
Input $/Mtok$3.00$0.29
Output $/Mtok$15.00$0.88
Coding index57.330.0
Independent measurements behind it53
Cost per solved task$1.68$0.99
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Claude Sonnet 4.6 for coding: it scores 57.3 on the Vibe Coding Index against 30.0 for DeepSeek V3.2. Pick DeepSeek V3.2 for output tokens 17.0x cheaper ($0.88 vs $15.00 per million) and a lower cost per solved task ($0.99 against $1.68).

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

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; DeepSeek V3.2 costs $0.29 and $0.88. Per solved SWE-bench Verified task, Claude Sonnet 4.6 costs $1.68 and DeepSeek V3.2 $0.99.

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

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

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

66 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.6's coding index rests on 5 independent benchmarks and DeepSeek V3.2's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-sonnet-4-6-vs-deepseek-v3-2">LLMBenchmark.ai, Claude Sonnet 4.6 vs DeepSeek V3.2</a></p>