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DeepSeek V3 0324 vs GPT-5.1-Codex

Updated October 21, 2026. 13 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V3 0324 Replace GPT-5.1-Codex
DeepSeek V3 0324DeepSeek
Coding
42.0
Overall
9.7
Output $/M
$1.14
0
GPT-5.1-CodexOpenAI
Coding
50.5
Overall
23.7
Output $/M
$10.00
13
vs boards won of 13 shared

Decision reading

Pick GPT-5.1-Codex for coding: it scores 50.5 on the Vibe Coding Index against 42.0 for DeepSeek V3 0324.

Pick DeepSeek V3 0324 when output tokens cost 8.8x less.

Model ADeepSeek V3 0324DeepSeek42.0/1001 independent benchmarkNo cost per solved taskModel BGPT-5.1-CodexOpenAI50.5/1002 independent benchmarks$0.892 per solved task
Shared results
13
DeepSeek V3 0324 only
22
GPT-5.1-Codex only
13
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
DeepSeek V3 0324 42.0 from 1 benchmark, GPT-5.1-Codex 50.5 from 2 benchmarks.
Widest category
Math, 54.7 points apart on average over 2 shared benchmarks.
Widest single gap
AA Math Index: DeepSeek V3 0324 41.0 against GPT-5.1-Codex 95.7, 54.7 points apart on a 0 to 100 scale.
Output price
DeepSeek V3 0324 $1.14 against GPT-5.1-Codex $10.00 per million output tokens, 8.8x apart.
Context window
DeepSeek V3 0324 takes 164K tokens, GPT-5.1-Codex 400K.

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 0324BarsGPT-5.1-CodexTies
Coding04
Intelligence01
Agentic work01
Reasoning02
Math02
Knowledge01
General02
All shared boards013
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
Coding benchmarks for DeepSeek V3 0324 and GPT-5.1-Codex
BenchmarkDeepSeek V3 0324GPT-5.1-CodexLeader
SWE-bench Verified42.0%66.0%GPT-5.1-Codex
LMArena WebDevNot measured1337Only GPT-5.1-Codex measured
AA Coding Index21.2Not measuredOnly DeepSeek V3 0324 measured
LiveCodeBench (Vals AI)65.5%85.5%GPT-5.1-Codex
Vibe Code Bench (Vals AI)Not measured13.1%Only GPT-5.1-Codex measured
LiveCodeBench (Artificial Analysis run)40.5%84.9%GPT-5.1-Codex
SciCode39.0%Not measuredOnly DeepSeek V3 0324 measured
Terminal-Bench Hard (Artificial Analysis run)15.2%34.8%GPT-5.1-Codex
Terminal-BenchNot measured57.8%Only GPT-5.1-Codex measured
WeirdML36.1%Not measuredOnly DeepSeek V3 0324 measured
ALE-BenchNot measured1244.9Only GPT-5.1-Codex measured
LMArena WebDev: HTMLNot measured1346Only GPT-5.1-Codex measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V3 0324 and GPT-5.1-Codex
BenchmarkDeepSeek V3 0324GPT-5.1-CodexLeader
AA Intelligence Index9.723.7GPT-5.1-Codex
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for DeepSeek V3 0324 and GPT-5.1-Codex
BenchmarkDeepSeek V3 0324GPT-5.1-CodexLeader
AA Agentic Index0.8Not measuredOnly DeepSeek V3 0324 measured
Design Arena: agents building web appsNot measured1018Only GPT-5.1-Codex measured
Design Arena: agents building full-stack appsNot measured1086Only GPT-5.1-Codex measured
Design Arena: agents building mobile appsNot measured1191Only GPT-5.1-Codex measured
τ²-Bench Telecom47.1%83.0%GPT-5.1-Codex
METR time horizons49.6%Not measuredOnly DeepSeek V3 0324 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for DeepSeek V3 0324 and GPT-5.1-Codex
BenchmarkDeepSeek V3 0324GPT-5.1-CodexLeader
GPQA Diamond61.6%Not measuredOnly DeepSeek V3 0324 measured
GPQA Diamond (Artificial Analysis run)65.5%86.0%GPT-5.1-Codex
Humanity's Last Exam (Artificial Analysis run)4.7%25.7%GPT-5.1-Codex
GPQA Diamond (Epoch AI run)67.6%Not measuredOnly DeepSeek V3 0324 measured
SimpleBench27.2%Not measuredOnly DeepSeek V3 0324 measured
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for DeepSeek V3 0324 and GPT-5.1-Codex
BenchmarkDeepSeek V3 0324GPT-5.1-CodexLeader
AIME52.2%Not measuredOnly DeepSeek V3 0324 measured
MATH 500 (Vals AI)88.6%Not measuredOnly DeepSeek V3 0324 measured
MGSM (Vals AI)91.7%Not measuredOnly DeepSeek V3 0324 measured
AA Math Index41.095.7GPT-5.1-Codex
AIME 2025 (Artificial Analysis run)41.0%95.7%GPT-5.1-Codex
OTIS Mock AIME37.8%Not measuredOnly DeepSeek V3 0324 measured
MATH level 575.5%Not measuredOnly DeepSeek V3 0324 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for DeepSeek V3 0324 and GPT-5.1-Codex
BenchmarkDeepSeek V3 0324GPT-5.1-CodexLeader
MMLU Pro79.5%Not measuredOnly DeepSeek V3 0324 measured
LegalBench (Vals AI)77.7%Not measuredOnly DeepSeek V3 0324 measured
CorpFin (Vals AI)54.7%Not measuredOnly DeepSeek V3 0324 measured
TaxEval (Vals AI)71.1%Not measuredOnly DeepSeek V3 0324 measured
MedQA (Vals AI)82.0%Not measuredOnly DeepSeek V3 0324 measured
MMLU Pro (Artificial Analysis run)81.9%86.0%GPT-5.1-Codex
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for DeepSeek V3 0324 and GPT-5.1-Codex
BenchmarkDeepSeek V3 0324GPT-5.1-CodexLeader
Design Arena: websitesNot measured1162Only GPT-5.1-Codex measured
Design Arena: UI componentsNot measured1237Only GPT-5.1-Codex measured
Design Arena: game devNot measured1138Only GPT-5.1-Codex measured
Design Arena: data vizNot measured1213Only GPT-5.1-Codex measured
Design Arena: all code categoriesNot measured1153Only GPT-5.1-Codex measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for DeepSeek V3 0324 and GPT-5.1-Codex
BenchmarkDeepSeek V3 0324GPT-5.1-CodexLeader
IFBench41.0%70.0%GPT-5.1-Codex
Long context reasoning (AA-LCR)40.7%69.3%GPT-5.1-Codex
DTBench64.8%Not measuredOnly DeepSeek V3 0324 measured
LMCA15.5%Not measuredOnly DeepSeek V3 0324 measured
Fiction.LiveBench50.0%Not measuredOnly DeepSeek V3 0324 measured
Creative writing (Lech Mazur)77.0%Not measuredOnly DeepSeek V3 0324 measured
Neither model has a result on the other 40 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3 0324 and GPT-5.1-Codex
BenchmarkDeepSeek V3 0324GPT-5.1-CodexLeader
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 0324$0.0009Fits in one request
GPT-5.1-Codex$0.0063Fits in one request

DeepSeek V3 0324 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3 0324$0.018Fits in one request
GPT-5.1-Codex$0.092Fits in one request

DeepSeek V3 0324 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3 0324$0.069Exceeds the context window
GPT-5.1-Codex$0.350Fits in one request

DeepSeek V3 0324 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 0324 and GPT-5.1-Codex
SpecificationDeepSeek V3 0324OpenAI GPT-5.1-Codex
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 24, 2025November 13, 2025
Context window164K400K
Input $/Mtok$0.29$1.25
Output $/Mtok$1.14$10.00
Coding index42.050.5
Independent measurements behind it12
Cost per solved taskNot computable$0.892
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3 0324 better than GPT-5.1-Codex for coding?

Pick GPT-5.1-Codex for coding: it scores 50.5 on the Vibe Coding Index against 42.0 for DeepSeek V3 0324. Pick DeepSeek V3 0324 when output tokens cost 8.8x less.

Which is cheaper, DeepSeek V3 0324 or GPT-5.1-Codex?

DeepSeek V3 0324 costs $0.29 per million input tokens and $1.14 per million output tokens; GPT-5.1-Codex costs $1.25 and $10.00. Cost per solved task is known for GPT-5.1-Codex only.

Which has the bigger context window, DeepSeek V3 0324 or GPT-5.1-Codex?

GPT-5.1-Codex, with 400K tokens against 164K.

How many benchmarks is the DeepSeek V3 0324 vs GPT-5.1-Codex comparison based on?

13 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3 0324's coding index rests on 1 independent benchmark and GPT-5.1-Codex's on 2. Where only one model has a result, the page says so instead of naming a winner.

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