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DeepSeek V3.2 vs GPT-4o (2024-05-13)

DeepSeek V3.2 leads GPT-4o (2024-05-13) on the Artificial Analysis Intelligence Index, 21.5 to 7.3, and DeepSeek V3.2 costs 17.0x less per output token ($0.88 vs $15.00 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace DeepSeek V3.2 Replace GPT-4o (2024-05-13)
DeepSeek V3.2DeepSeek
Coding
30.0
Overall
37.9
Output $/M
$0.88
35
GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
0
vs boards won of 35 shared

DeepSeek V3.2 or GPT-4o (2024-05-13): which to pick

Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; GPT-4o (2024-05-13) has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model ADeepSeek V3.2DeepSeek30.0/1003 independent benchmarks$0.99 per solved taskModel BGPT-4o (2024-05-13)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
35
DeepSeek V3.2 only
41
GPT-4o (2024-05-13) only
9
Like-for-like categories
6 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
DeepSeek V3.2 30.0 from 3 benchmarks, GPT-4o (2024-05-13) not benchmarked.
Widest category
Coding, 31.1 points apart on average over 4 shared benchmarks.
Widest single gap
LiveCodeBench (Artificial Analysis run): DeepSeek V3.2 86.2% against GPT-4o (2024-05-13) 33.4%, 52.8 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 $0.88 against GPT-4o (2024-05-13) $15.00 per million output tokens, 17.0x apart.
Context window
DeepSeek V3.2 takes 164K tokens, GPT-4o (2024-05-13) 128K.

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
CategoryDeepSeek V3.2BarsGPT-4o (2024-05-13)Ties
Coding40
Intelligence10
Reasoning60
Math20
Knowledge50
General170
All shared boards350
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V3.2 and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.2GPT-4o (2024-05-13)Leader
SWE-bench Verified70.0%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Multilingual59.0%Not measuredOnly DeepSeek V3.2 measured
LMArena WebDev1362Not measuredOnly DeepSeek V3.2 measured
AA Coding Index44.224.2DeepSeek V3.2
LiveCodeBench (Vals AI)80.7%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Verified (Vals AI)67.6%Not measuredOnly DeepSeek V3.2 measured
Vibe Code Bench (Vals AI)5.1%Not measuredOnly DeepSeek V3.2 measured
LiveCodeBench (Artificial Analysis run)86.2%33.4%DeepSeek V3.2
Terminal-Bench Hard (Artificial Analysis run)35.6%Not measuredOnly DeepSeek V3.2 measured
Terminal-Bench39.6%Not measuredOnly DeepSeek V3.2 measured
LMArena Text: coding14531297DeepSeek V3.2
LMArena Text: software and IT14491297DeepSeek V3.2
LMArena WebDev: React1350Not measuredOnly DeepSeek V3.2 measured
LMArena WebDev: HTML1371Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V3.2 and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.2GPT-4o (2024-05-13)Leader
AA Intelligence Index21.57.3DeepSeek V3.2
Epoch Capabilities Index146.1Not measuredOnly DeepSeek V3.2 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Agentic work benchmarks for DeepSeek V3.2 and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.2GPT-4o (2024-05-13)Leader
τ²-Bench Telecom90.6%Not measuredOnly DeepSeek V3.2 measured
APEX-Agents21.3%Not measuredOnly DeepSeek V3.2 measured
METR time horizonsNot measured40.8%Only GPT-4o (2024-05-13) measured
BALROGNot measured32.3%Only GPT-4o (2024-05-13) measured
Vending-Bench 2$1,034Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for DeepSeek V3.2 and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.2GPT-4o (2024-05-13)Leader
GPQA Diamond80.3%50.2%DeepSeek V3.2
GPQA Diamond (Artificial Analysis run)84.0%52.6%DeepSeek V3.2
Humanity's Last Exam (Artificial Analysis run)24.6%1.8%DeepSeek V3.2
GPQA Diamond (Epoch AI run)Not measured48.9%Only GPT-4o (2024-05-13) measured
ARC-AGI57.0%Not measuredOnly DeepSeek V3.2 measured
ARC-AGI-24.0%Not measuredOnly DeepSeek V3.2 measured
LMArena Text: hard prompts14341281DeepSeek V3.2
LMArena Text: expert14361250DeepSeek V3.2
LMArena Text: hard prompts in English14461293DeepSeek V3.2
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V3.2 and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.2GPT-4o (2024-05-13)Leader
AIME84.6%Not measuredOnly DeepSeek V3.2 measured
MGSM (Vals AI)86.0%Not measuredOnly DeepSeek V3.2 measured
AA Math Index92.0Not measuredOnly DeepSeek V3.2 measured
AIME 2025 (Artificial Analysis run)92.0%Not measuredOnly DeepSeek V3.2 measured
OTIS Mock AIMENot measured6.3%Only GPT-4o (2024-05-13) measured
MATH level 5Not measured51.0%Only GPT-4o (2024-05-13) measured
LMArena Text: math14351284DeepSeek V3.2
LMArena Text: mathematical work14401284DeepSeek V3.2
MathArena16.0%Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for DeepSeek V3.2 and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.2GPT-4o (2024-05-13)Leader
MMLU Pro84.9%Not measuredOnly DeepSeek V3.2 measured
LegalBench (Vals AI)76.1%Not measuredOnly DeepSeek V3.2 measured
CaseLaw (Vals AI)55.4%Not measuredOnly DeepSeek V3.2 measured
CorpFin (Vals AI)51.0%Not measuredOnly DeepSeek V3.2 measured
TaxEval (Vals AI)68.2%Not measuredOnly DeepSeek V3.2 measured
MedQA (Vals AI)93.9%Not measuredOnly DeepSeek V3.2 measured
MMLU Pro (Artificial Analysis run)86.2%74.0%DeepSeek V3.2
MMLUNot measured84.2%Only GPT-4o (2024-05-13) measured
LMArena Text: science14461295DeepSeek V3.2
LMArena Text: medicine and healthcare14401278DeepSeek V3.2
LMArena Text: legal and government14251314DeepSeek V3.2
LMArena Text: business and finance14101262DeepSeek V3.2
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V3.2 and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.2GPT-4o (2024-05-13)Leader
Design Arena: websites1175Not measuredOnly DeepSeek V3.2 measured
Design Arena: UI components1146Not measuredOnly DeepSeek V3.2 measured
Design Arena: game dev1131Not measuredOnly DeepSeek V3.2 measured
Design Arena: data viz1159Not measuredOnly DeepSeek V3.2 measured
Design Arena: 3D1132Not measuredOnly DeepSeek V3.2 measured
Design Arena: all code categories1163Not measuredOnly DeepSeek V3.2 measured
Design Arena: SVG1031Not measuredOnly DeepSeek V3.2 measured
Design Arena: ASCII art1082Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for DeepSeek V3.2 and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.2GPT-4o (2024-05-13)Leader
IFBench60.7%Not measuredOnly DeepSeek V3.2 measured
Long context reasoning (AA-LCR)73.3%Not measuredOnly DeepSeek V3.2 measured
DTBench85.6%Not measuredOnly DeepSeek V3.2 measured
LMCA28.8%Not measuredOnly DeepSeek V3.2 measured
CL-bench12.4%Not measuredOnly DeepSeek V3.2 measured
CL-bench Life7.4%Not measuredOnly DeepSeek V3.2 measured
LMArena Text14251300DeepSeek V3.2
LMArena Text: instruction following14131278DeepSeek V3.2
LMArena Text: creative writing14001291DeepSeek V3.2
LMArena VisionNot measured1137Only GPT-4o (2024-05-13) measured
LMArena Text: English14391312DeepSeek V3.2
LMArena Text: non-English14091283DeepSeek V3.2
LMArena Text: Chinese14551277DeepSeek V3.2
LMArena Text: German14131283DeepSeek V3.2
LMArena Text: Japanese13741257DeepSeek V3.2
LMArena Text: Korean13701234DeepSeek V3.2
LMArena Text: French14291304DeepSeek V3.2
LMArena Text: Spanish14241292DeepSeek V3.2
LMArena Text: Russian14241285DeepSeek V3.2
LMArena Text: Polish14191365DeepSeek V3.2
LMArena Text: multi-turn14271302DeepSeek V3.2
LMArena Text: longer queries14281288DeepSeek V3.2
LMArena Text: writing and language14071298DeepSeek V3.2
LMArena Text: entertainment and media13951289DeepSeek V3.2
LMArena Vision: EnglishNot measured1147Only GPT-4o (2024-05-13) measured
LMArena Vision: ChineseNot measured1132Only GPT-4o (2024-05-13) measured
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.2 and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.2GPT-4o (2024-05-13)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

DeepSeek V3.2$0.0007Fits in one request
GPT-4o (2024-05-13)$0.013Fits in one request

DeepSeek V3.2 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2$0.017Fits in one request
GPT-4o (2024-05-13)$0.295Fits in one request

DeepSeek V3.2 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2$0.067Exceeds the context window
GPT-4o (2024-05-13)$1.15Exceeds 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 DeepSeek V3.2 and GPT-4o (2024-05-13)
SpecificationDeepSeek V3.2OpenAI GPT-4o (2024-05-13)
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedDecember 1, 2025May 13, 2024
Context window164K128K
Input $/Mtok$0.29$5.00
Output $/Mtok$0.88$15.00
Coding index30.0Not benchmarked
Independent measurements behind it30
Cost per solved task$0.99Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 better than GPT-4o (2024-05-13) for coding?

Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; GPT-4o (2024-05-13) has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, DeepSeek V3.2 or GPT-4o (2024-05-13)?

DeepSeek V3.2 costs $0.29 per million input tokens and $0.88 per million output tokens; GPT-4o (2024-05-13) costs $5.00 and $15.00. Cost per solved task is known for DeepSeek V3.2 only.

Which has the bigger context window, DeepSeek V3.2 or GPT-4o (2024-05-13)?

DeepSeek V3.2, with 164K tokens against 128K.

How many benchmarks is the DeepSeek V3.2 vs GPT-4o (2024-05-13) comparison based on?

35 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.2's coding index rests on 3 independent benchmarks and GPT-4o (2024-05-13)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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