LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

Claude Sonnet 4.5 vs DeepSeek V3.2 Exp

Updated October 21, 2026. 42 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Sonnet 4.5Anthropic
Coding
59.1
Overall
20.7
Output $/M
$15.00
37
DeepSeek V3.2 ExpDeepSeek
Coding
55.0
Overall
16.6
Output $/M
$0.41
5
vs boards won of 42 shared

Decision reading

Pick Claude Sonnet 4.5 for coding: it scores 59.1 on the Vibe Coding Index against 55.0 for DeepSeek V3.2 Exp.

Pick DeepSeek V3.2 Exp when output tokens cost 36.6x less, or when what matters is LMArena Text: medicine and healthcare or DTBench, where it leads.

Shared results
42
Claude Sonnet 4.5 only
50
DeepSeek V3.2 Exp only
15
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 Sonnet 4.5 59.1 from 2 benchmarks, DeepSeek V3.2 Exp 55.0 from 2 benchmarks.
Widest category
Coding, 11.9 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: Claude Sonnet 4.5 1399 against DeepSeek V3.2 Exp 1281, 19.6 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against DeepSeek V3.2 Exp $0.41 per million output tokens, 36.6x apart.
Context window
Claude Sonnet 4.5 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 4.5BarsDeepSeek V3.2 ExpTies
Coding50
Intelligence20
Reasoning30
Math20
Knowledge31
Web design70
General154
All shared boards375
CodingLike-for-likeFour of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Sonnet 4.5 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.5DeepSeek V3.2 ExpLeader
Aider polyglotNot measured74.2%Only DeepSeek V3.2 Exp measured
SWE-bench Verified74.8%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev13941272Claude Sonnet 4.5
AA Coding Index52.1Not measuredOnly Claude Sonnet 4.5 measured
LiveCodeBench (Vals AI)73.0%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Claude Sonnet 4.5 measured
Vibe Code Bench (Vals AI)22.6%Not measuredOnly Claude Sonnet 4.5 measured
LiveCodeBench (Artificial Analysis run)Not measured78.9%Only DeepSeek V3.2 Exp measured
Terminal-Bench Hard (Artificial Analysis run)Not measured31.1%Only DeepSeek V3.2 Exp measured
Terminal-Bench46.5%Not measuredOnly Claude Sonnet 4.5 measured
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%39.5%Claude Sonnet 4.5
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: coding14881438Claude Sonnet 4.5
LMArena Text: software and IT14731438Claude Sonnet 4.5
LMArena WebDev: React1386Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev: HTML13991281Claude Sonnet 4.5
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 4.5 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.5DeepSeek V3.2 ExpLeader
AA Intelligence Index20.716.6Claude Sonnet 4.5
Epoch Capabilities Index146.7144.9Claude Sonnet 4.5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Claude Sonnet 4.5 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.5DeepSeek V3.2 ExpLeader
AA Agentic Index15.8Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building web apps1060Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building full-stack apps1050Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building mobile apps1137Not measuredOnly Claude Sonnet 4.5 measured
τ²-Bench TelecomNot measured33.9%Only DeepSeek V3.2 Exp measured
METR time horizons67.4%Not measuredOnly Claude Sonnet 4.5 measured
Remote Labor Index2.1%Not measuredOnly Claude Sonnet 4.5 measured
GDPval42.5%Not measuredOnly Claude Sonnet 4.5 measured
DeepResearch Bench52.6%Not measuredOnly Claude Sonnet 4.5 measured
TheAgentCompanyNot measured42.9%Only DeepSeek V3.2 Exp measured
OSWorld62.9%Not measuredOnly Claude Sonnet 4.5 measured
Vending-Bench 2$3,839Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Claude Sonnet 4.5 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.5DeepSeek V3.2 ExpLeader
GPQA Diamond81.6%Not measuredOnly Claude Sonnet 4.5 measured
MMMU Pro (Vals AI)79.3%Not measuredOnly Claude Sonnet 4.5 measured
GPQA Diamond (Artificial Analysis run)Not measured79.7%Only DeepSeek V3.2 Exp measured
Humanity's Last Exam (Artificial Analysis run)Not measured14.9%Only DeepSeek V3.2 Exp measured
GPQA Diamond (Epoch AI run)82.3%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI63.7%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI-213.6%Not measuredOnly Claude Sonnet 4.5 measured
SimpleBench54.3%Not measuredOnly Claude Sonnet 4.5 measured
Chess puzzles10.0%Not measuredOnly Claude Sonnet 4.5 measured
Mystery game puzzles17.0%Not measuredOnly Claude Sonnet 4.5 measured
EBR-bench2.4%Not measuredOnly Claude Sonnet 4.5 measured
VPCT39.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts14621429Claude Sonnet 4.5
LMArena Text: expert14831422Claude Sonnet 4.5
LMArena Text: hard prompts in English14711444Claude Sonnet 4.5
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 4.5 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.5DeepSeek V3.2 ExpLeader
AIME88.2%Not measuredOnly Claude Sonnet 4.5 measured
MGSM (Vals AI)94.3%Not measuredOnly Claude Sonnet 4.5 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 AIME77.8%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tiers 1 to 323.9%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Sonnet 4.5 measured
ProofBench19.0%Not measuredOnly Claude Sonnet 4.5 measured
MATH level 597.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: math14491422Claude Sonnet 4.5
LMArena Text: mathematical work14621433Claude Sonnet 4.5
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for Claude Sonnet 4.5 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.5DeepSeek V3.2 ExpLeader
MMLU Pro87.4%Not measuredOnly Claude Sonnet 4.5 measured
LegalBench (Vals AI)84.1%Not measuredOnly Claude Sonnet 4.5 measured
CaseLaw (Vals AI)62.2%Not measuredOnly Claude Sonnet 4.5 measured
CorpFin (Vals AI)62.0%Not measuredOnly Claude Sonnet 4.5 measured
TaxEval (Vals AI)73.3%Not measuredOnly Claude Sonnet 4.5 measured
MortgageTax (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.5 measured
MedQA (Vals AI)94.7%Not measuredOnly Claude Sonnet 4.5 measured
MedCode (Vals AI)44.1%Not measuredOnly Claude Sonnet 4.5 measured
MMLU Pro (Artificial Analysis run)Not measured85.0%Only DeepSeek V3.2 Exp measured
SimpleQA Verified30.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: science14481443Claude Sonnet 4.5
LMArena Text: medicine and healthcare14441468DeepSeek V3.2 Exp
LMArena Text: legal and government14511419Claude Sonnet 4.5
LMArena Text: business and finance14401412Claude Sonnet 4.5
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 Sonnet 4.5 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.5DeepSeek V3.2 ExpLeader
Design Arena: websites11901179Claude Sonnet 4.5
Design Arena: UI components11731166Claude Sonnet 4.5
Design Arena: game dev11661145Claude Sonnet 4.5
Design Arena: data viz11671152Claude Sonnet 4.5
Design Arena: 3D11581148Claude Sonnet 4.5
Design Arena: all code categories11831171Claude Sonnet 4.5
Design Arena: SVG11141031Claude Sonnet 4.5
Design Arena: ASCII art1204Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index154
General benchmarks for Claude Sonnet 4.5 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.5DeepSeek V3.2 ExpLeader
SAGE (Vals AI)36.1%Not measuredOnly Claude Sonnet 4.5 measured
MedScribe (Vals AI)84.5%Not measuredOnly Claude Sonnet 4.5 measured
IFBenchNot measured54.1%Only DeepSeek V3.2 Exp measured
Long context reasoning (AA-LCR)Not measured72.3%Only DeepSeek V3.2 Exp measured
DTBench83.2%87.7%DeepSeek V3.2 Exp
LMCA38.8%29.1%Claude Sonnet 4.5
Fiction.LiveBenchNot measured83.3%Only DeepSeek V3.2 Exp measured
CL-benchNot measured13.2%Only DeepSeek V3.2 Exp measured
CL-bench LifeNot measured9.5%Only DeepSeek V3.2 Exp measured
LMArena Text14381425Claude Sonnet 4.5
LMArena Text: instruction following14591401Claude Sonnet 4.5
LMArena Text: creative writing14421404Claude Sonnet 4.5
LMArena Text: English14501441Claude Sonnet 4.5
LMArena Text: non-English14251404Claude Sonnet 4.5
LMArena Text: Chinese14601461DeepSeek V3.2 Exp
LMArena Text: German14271440DeepSeek V3.2 Exp
LMArena Text: Japanese13901331Claude Sonnet 4.5
LMArena Text: Korean14021372Claude Sonnet 4.5
LMArena Text: French14591434Claude Sonnet 4.5
LMArena Text: Spanish14581441Claude Sonnet 4.5
LMArena Text: Russian14371412Claude Sonnet 4.5
LMArena Text: Polish14231435DeepSeek V3.2 Exp
LMArena Text: multi-turn14651422Claude Sonnet 4.5
LMArena Text: longer queries14751418Claude Sonnet 4.5
LMArena Text: writing and language14421407Claude Sonnet 4.5
LMArena Text: entertainment and media14281407Claude Sonnet 4.5
LMArena Document1450Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.5 and DeepSeek V3.2 Exp
BenchmarkClaude Sonnet 4.5DeepSeek 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 4.5$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 4.5$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 4.5$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 4.5 and DeepSeek V3.2 Exp
SpecificationAnthropic Claude Sonnet 4.5DeepSeek V3.2 Exp
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedSeptember 29, 2025September 29, 2025
Context window1M164K
Input $/Mtok$3.00$0.27
Output $/Mtok$15.00$0.41
Coding index59.155.0
Independent measurements behind it22
Cost per solved task$1.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 better than DeepSeek V3.2 Exp for coding?

Pick Claude Sonnet 4.5 for coding: it scores 59.1 on the Vibe Coding Index against 55.0 for DeepSeek V3.2 Exp. Pick DeepSeek V3.2 Exp when output tokens cost 36.6x less, or when what matters is LMArena Text: medicine and healthcare or DTBench, where it leads.

Which is cheaper, Claude Sonnet 4.5 or DeepSeek V3.2 Exp?

Claude Sonnet 4.5 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 4.5 only.

Which has the bigger context window, Claude Sonnet 4.5 or DeepSeek V3.2 Exp?

Claude Sonnet 4.5, with 1M tokens against 164K.

How many benchmarks is the Claude Sonnet 4.5 vs DeepSeek V3.2 Exp comparison based on?

42 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.5'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.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/claude-sonnet-4-5-vs-deepseek-v3-2-exp" title="Claude Sonnet 4.5 vs DeepSeek V3.2 Exp, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-sonnet-4-5-vs-deepseek-v3-2-exp">LLMBenchmark.ai, Claude Sonnet 4.5 vs DeepSeek V3.2 Exp</a></p>