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DeepSeek V3.1 Terminus vs GPT-4o (2024-05-13)

DeepSeek V3.1 Terminus leads GPT-4o (2024-05-13) on the Artificial Analysis Intelligence Index, 14.8 to 7.3, and DeepSeek V3.1 Terminus costs 14.8x less per output token ($1.0142 vs $15.00 per million). Updated October 22, 2026; 26 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace GPT-4o (2024-05-13)
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
26
GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
0
vs boards won of 26 shared

DeepSeek V3.1 Terminus or GPT-4o (2024-05-13): which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick DeepSeek V3.1 Terminus for output tokens 14.8x cheaper ($1.0142 vs $15.00 per million) and a larger context window (164K against 128K tokens).

Model ADeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-4o (2024-05-13)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
26
DeepSeek V3.1 Terminus only
19
GPT-4o (2024-05-13) only
18
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 V3.1 Terminus not benchmarked, GPT-4o (2024-05-13) not benchmarked.
Widest category
Coding, 27.1 points apart on average over 4 shared benchmarks.
Widest single gap
LiveCodeBench (Artificial Analysis run): DeepSeek V3.1 Terminus 79.8% against GPT-4o (2024-05-13) 33.4%, 46.4 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against GPT-4o (2024-05-13) $15.00 per million output tokens, 14.8x apart.
Context window
DeepSeek V3.1 Terminus 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 V3.1 TerminusBarsGPT-4o (2024-05-13)Ties
Coding40
Intelligence10
Reasoning40
Math10
Knowledge50
General110
All shared boards260
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V3.1 Terminus and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.1 TerminusGPT-4o (2024-05-13)Leader
AA Coding Index43.524.2DeepSeek V3.1 Terminus
LiveCodeBench (Artificial Analysis run)79.8%33.4%DeepSeek V3.1 Terminus
SciCode38.0%Not measuredOnly DeepSeek V3.1 Terminus measured
Terminal-Bench Hard (Artificial Analysis run)31.8%Not measuredOnly DeepSeek V3.1 Terminus measured
ALE-Bench745.2Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: coding14251297DeepSeek V3.1 Terminus
LMArena Text: software and IT14261297DeepSeek V3.1 Terminus
Neither model has a result on the other 36 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V3.1 Terminus and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.1 TerminusGPT-4o (2024-05-13)Leader
AA Intelligence Index14.87.3DeepSeek V3.1 Terminus
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for DeepSeek V3.1 Terminus and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.1 TerminusGPT-4o (2024-05-13)Leader
AA Agentic Index6.8Not measuredOnly DeepSeek V3.1 Terminus measured
τ²-Bench Telecom37.1%Not measuredOnly DeepSeek V3.1 Terminus measured
METR time horizonsNot measured40.8%Only GPT-4o (2024-05-13) measured
BALROGNot measured32.3%Only GPT-4o (2024-05-13) measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for DeepSeek V3.1 Terminus and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.1 TerminusGPT-4o (2024-05-13)Leader
GPQA DiamondNot measured50.2%Only GPT-4o (2024-05-13) measured
GPQA Diamond (Artificial Analysis run)79.2%52.6%DeepSeek V3.1 Terminus
Humanity's Last Exam (Artificial Analysis run)16.4%1.8%DeepSeek V3.1 Terminus
GPQA Diamond (Epoch AI run)Not measured48.9%Only GPT-4o (2024-05-13) measured
LMArena Text: hard prompts14261281DeepSeek V3.1 Terminus
LMArena Text: expertNot measured1250Only GPT-4o (2024-05-13) measured
LMArena Text: hard prompts in English14321293DeepSeek V3.1 Terminus
Kagi LLM Benchmark57.4%Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for DeepSeek V3.1 Terminus and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.1 TerminusGPT-4o (2024-05-13)Leader
AA Math Index89.7Not measuredOnly DeepSeek V3.1 Terminus measured
AIME 2025 (Artificial Analysis run)89.7%Not measuredOnly DeepSeek V3.1 Terminus 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: math14021284DeepSeek V3.1 Terminus
LMArena Text: mathematical workNot measured1284Only GPT-4o (2024-05-13) measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for DeepSeek V3.1 Terminus and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.1 TerminusGPT-4o (2024-05-13)Leader
MMLU Pro (Artificial Analysis run)85.1%74.0%DeepSeek V3.1 Terminus
MMLUNot measured84.2%Only GPT-4o (2024-05-13) measured
LMArena Text: science14511295DeepSeek V3.1 Terminus
LMArena Text: medicine and healthcare14681278DeepSeek V3.1 Terminus
LMArena Text: legal and government14571314DeepSeek V3.1 Terminus
LMArena Text: business and finance14141262DeepSeek V3.1 Terminus
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for DeepSeek V3.1 Terminus and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.1 TerminusGPT-4o (2024-05-13)Leader
Design Arena: websites1187Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: UI components1180Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: game dev1131Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: data viz1168Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: 3D1141Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: all code categories1175Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: SVG1065Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index110
General benchmarks for DeepSeek V3.1 Terminus and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.1 TerminusGPT-4o (2024-05-13)Leader
IFBench57.0%Not measuredOnly DeepSeek V3.1 Terminus measured
Long context reasoning (AA-LCR)69.3%Not measuredOnly DeepSeek V3.1 Terminus measured
DTBench81.3%Not measuredOnly DeepSeek V3.1 Terminus measured
LMCA28.6%Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text14191300DeepSeek V3.1 Terminus
LMArena Text: instruction following14041278DeepSeek V3.1 Terminus
LMArena Text: creative writing14031291DeepSeek V3.1 Terminus
LMArena VisionNot measured1137Only GPT-4o (2024-05-13) measured
LMArena Text: English14291312DeepSeek V3.1 Terminus
LMArena Text: non-English14081283DeepSeek V3.1 Terminus
LMArena Text: ChineseNot measured1277Only GPT-4o (2024-05-13) measured
LMArena Text: GermanNot measured1283Only GPT-4o (2024-05-13) measured
LMArena Text: JapaneseNot measured1257Only GPT-4o (2024-05-13) measured
LMArena Text: KoreanNot measured1234Only GPT-4o (2024-05-13) measured
LMArena Text: FrenchNot measured1304Only GPT-4o (2024-05-13) measured
LMArena Text: SpanishNot measured1292Only GPT-4o (2024-05-13) measured
LMArena Text: Russian14351285DeepSeek V3.1 Terminus
LMArena Text: Polish14271365DeepSeek V3.1 Terminus
LMArena Text: multi-turn14111302DeepSeek V3.1 Terminus
LMArena Text: longer queries14221288DeepSeek V3.1 Terminus
LMArena Text: writing and language14091298DeepSeek V3.1 Terminus
LMArena Text: entertainment and media13911289DeepSeek V3.1 Terminus
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 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.1 Terminus and GPT-4o (2024-05-13)
BenchmarkDeepSeek V3.1 TerminusGPT-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 V3.1 Terminus$0.0008Fits in one request
GPT-4o (2024-05-13)$0.013Fits in one request

DeepSeek V3.1 Terminus costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1 Terminus$0.018Fits in one request
GPT-4o (2024-05-13)$0.295Fits in one request

DeepSeek V3.1 Terminus costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1 Terminus$0.071Exceeds the context window
GPT-4o (2024-05-13)$1.15Exceeds the context window

DeepSeek V3.1 Terminus 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 V3.1 Terminus and GPT-4o (2024-05-13)
SpecificationDeepSeek V3.1 TerminusOpenAI GPT-4o (2024-05-13)
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 22, 2025May 13, 2024
Context window164K128K
Input $/Mtok$0.3063$5.00
Output $/Mtok$1.0142$15.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 Terminus better than GPT-4o (2024-05-13) for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3.1 Terminus for output tokens 14.8x cheaper ($1.0142 vs $15.00 per million) and a larger context window (164K against 128K tokens).

Which is cheaper, DeepSeek V3.1 Terminus or GPT-4o (2024-05-13)?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; GPT-4o (2024-05-13) costs $5.00 and $15.00. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3.1 Terminus or GPT-4o (2024-05-13)?

DeepSeek V3.1 Terminus, with 164K tokens against 128K.

How many benchmarks is the DeepSeek V3.1 Terminus vs GPT-4o (2024-05-13) comparison based on?

26 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.1 Terminus's coding index rests on 0 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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