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DeepSeek V3.1 Terminus vs GPT-5

GPT-5 leads DeepSeek V3.1 Terminus on the Artificial Analysis Intelligence Index, 23.0 to 14.8, and DeepSeek V3.1 Terminus costs 9.9x less per output token ($1.0142 vs $10.00 per million). Updated October 21, 2026; 43 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace GPT-5
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
21
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
22
vs boards won of 43 shared

DeepSeek V3.1 Terminus or GPT-5: which to pick

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; DeepSeek V3.1 Terminus has none, so the two cannot be ranked on coding.

Pick DeepSeek V3.1 Terminus for output tokens 9.9x cheaper ($1.0142 vs $10.00 per million) and work measured by AA Coding Index or LMArena Text: software and IT, where it leads.

Model ADeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved task
Shared results
43
DeepSeek V3.1 Terminus only
2
GPT-5 only
70
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
DeepSeek V3.1 Terminus not benchmarked, GPT-5 38.8 from 3 benchmarks.
Widest category
Agentic work, 49.4 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: DeepSeek V3.1 Terminus 37.1% against GPT-5 86.5%, 49.4 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against GPT-5 $10.00 per million output tokens, 9.9x apart.
Context window
DeepSeek V3.1 Terminus takes 164K tokens, GPT-5 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 V3.1 TerminusBarsGPT-5Ties
Coding24
Intelligence01
Agentic work01
Reasoning23
Math03
Knowledge41
Web design43
General96
All shared boards2122
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
Coding benchmarks for DeepSeek V3.1 Terminus and GPT-5
BenchmarkDeepSeek V3.1 TerminusGPT-5Leader
Aider polyglotNot measured88.0%Only GPT-5 measured
SWE-bench VerifiedNot measured74.4%Only GPT-5 measured
LMArena WebDevNot measured1418Only GPT-5 measured
AA Coding Index43.537.8DeepSeek V3.1 Terminus
LiveCodeBench (Vals AI)Not measured85.9%Only GPT-5 measured
SWE-bench Verified (Vals AI)Not measured69.0%Only GPT-5 measured
Vibe Code Bench (Vals AI)Not measured20.1%Only GPT-5 measured
LiveCodeBench (Artificial Analysis run)79.8%84.6%GPT-5
SciCode38.0%Not measuredOnly DeepSeek V3.1 Terminus measured
Terminal-Bench Hard (Artificial Analysis run)31.8%37.9%GPT-5
Terminal-BenchNot measured49.6%Only GPT-5 measured
GSO-BenchNot measured6.9%Only GPT-5 measured
WeirdMLNot measured60.7%Only GPT-5 measured
ALE-Bench745.2807.6GPT-5
LMArena Text: coding14251436GPT-5
LMArena Text: software and IT14261420DeepSeek V3.1 Terminus
LMArena WebDev: HTMLNot measured1427Only GPT-5 measured
SciCodeNot measured0.0%Only GPT-5 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V3.1 Terminus and GPT-5
BenchmarkDeepSeek V3.1 TerminusGPT-5Leader
AA Intelligence Index14.823.0GPT-5
Epoch Capabilities IndexNot measured150.0Only GPT-5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for DeepSeek V3.1 Terminus and GPT-5
BenchmarkDeepSeek V3.1 TerminusGPT-5Leader
AA Agentic Index6.8Not measuredOnly DeepSeek V3.1 Terminus measured
τ²-Bench Telecom37.1%86.5%GPT-5
METR time horizonsNot measured69.6%Only GPT-5 measured
Remote Labor IndexNot measured1.7%Only GPT-5 measured
GDPvalNot measured34.8%Only GPT-5 measured
BALROGNot measured32.8%Only GPT-5 measured
DeepResearch BenchNot measured49.6%Only GPT-5 measured
BrowseComp-PlusNot measured80.0%Only GPT-5 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
Reasoning benchmarks for DeepSeek V3.1 Terminus and GPT-5
BenchmarkDeepSeek V3.1 TerminusGPT-5Leader
GPQA DiamondNot measured85.6%Only GPT-5 measured
MMMU Pro (Vals AI)Not measured81.5%Only GPT-5 measured
GPQA Diamond (Artificial Analysis run)79.2%85.4%GPT-5
Humanity's Last Exam (Artificial Analysis run)16.4%28.5%GPT-5
GPQA Diamond (Epoch AI run)Not measured86.2%Only GPT-5 measured
ARC-AGINot measured65.7%Only GPT-5 measured
ARC-AGI-2Not measured9.9%Only GPT-5 measured
SimpleBenchNot measured56.7%Only GPT-5 measured
Chess puzzlesNot measured36.0%Only GPT-5 measured
Mystery game puzzlesNot measured23.0%Only GPT-5 measured
EBR-benchNot measured12.7%Only GPT-5 measured
VPCTNot measured66.0%Only GPT-5 measured
LMArena Text: hard prompts14261415DeepSeek V3.1 Terminus
LMArena Text: expertNot measured1419Only GPT-5 measured
LMArena Text: hard prompts in English14321419DeepSeek V3.1 Terminus
LMArena Vision: diagramsNot measured1252Only GPT-5 measured
LMArena Vision: homeworkNot measured1278Only GPT-5 measured
Kagi LLM Benchmark57.4%72.7%GPT-5
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for DeepSeek V3.1 Terminus and GPT-5
BenchmarkDeepSeek V3.1 TerminusGPT-5Leader
AIMENot measured93.4%Only GPT-5 measured
MATH 500 (Vals AI)Not measured96.0%Only GPT-5 measured
MGSM (Vals AI)Not measured92.8%Only GPT-5 measured
AA Math Index89.794.3GPT-5
AIME 2025 (Artificial Analysis run)89.7%94.3%GPT-5
OTIS Mock AIMENot measured91.4%Only GPT-5 measured
FrontierMath, tiers 1 to 3Not measured55.4%Only GPT-5 measured
FrontierMath, tier 4Not measured22.0%Only GPT-5 measured
ProofBenchNot measured18.0%Only GPT-5 measured
MATH level 5Not measured98.1%Only GPT-5 measured
LMArena Text: math14021407GPT-5
LMArena Text: mathematical workNot measured1405Only GPT-5 measured
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for DeepSeek V3.1 Terminus and GPT-5
BenchmarkDeepSeek V3.1 TerminusGPT-5Leader
MMLU ProNot measured86.5%Only GPT-5 measured
LegalBench (Vals AI)Not measured86.0%Only GPT-5 measured
CaseLaw (Vals AI)Not measured66.5%Only GPT-5 measured
CorpFin (Vals AI)Not measured61.1%Only GPT-5 measured
TaxEval (Vals AI)Not measured73.4%Only GPT-5 measured
MortgageTax (Vals AI)Not measured65.5%Only GPT-5 measured
MedQA (Vals AI)Not measured96.3%Only GPT-5 measured
MedCode (Vals AI)Not measured49.6%Only GPT-5 measured
MMLU Pro (Artificial Analysis run)85.1%87.1%GPT-5
SimpleQA VerifiedNot measured50.1%Only GPT-5 measured
GeoBenchNot measured81.0%Only GPT-5 measured
LMArena Text: science14511416DeepSeek V3.1 Terminus
LMArena Text: medicine and healthcare14681413DeepSeek V3.1 Terminus
LMArena Text: legal and government14571431DeepSeek V3.1 Terminus
LMArena Text: business and finance14141400DeepSeek V3.1 Terminus
FACTS Benchmark SuiteNot measured56.5%Only GPT-5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index43
Web design benchmarks for DeepSeek V3.1 Terminus and GPT-5
BenchmarkDeepSeek V3.1 TerminusGPT-5Leader
Design Arena: websites11871184DeepSeek V3.1 Terminus
Design Arena: UI components11821180DeepSeek V3.1 Terminus
Design Arena: game dev11311185GPT-5
Design Arena: data viz11671221GPT-5
Design Arena: 3D11411056DeepSeek V3.1 Terminus
Design Arena: all code categories11751168DeepSeek V3.1 Terminus
Design Arena: SVG10651189GPT-5
Design Arena: ASCII artNot measured1141Only GPT-5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index96
General benchmarks for DeepSeek V3.1 Terminus and GPT-5
BenchmarkDeepSeek V3.1 TerminusGPT-5Leader
SAGE (Vals AI)Not measured43.7%Only GPT-5 measured
MedScribe (Vals AI)Not measured83.7%Only GPT-5 measured
IFBench57.0%73.1%GPT-5
Long context reasoning (AA-LCR)69.3%78.2%GPT-5
DTBench81.3%90.7%GPT-5
LMCA28.6%40.0%GPT-5
Fiction.LiveBenchNot measured97.2%Only GPT-5 measured
Creative writing (Lech Mazur)Not measured86.0%Only GPT-5 measured
LMArena Text14191406DeepSeek V3.1 Terminus
LMArena Text: instruction following14041388DeepSeek V3.1 Terminus
LMArena Text: creative writing14031365DeepSeek V3.1 Terminus
LMArena VisionNot measured1232Only GPT-5 measured
LMArena Text: English14291409DeepSeek V3.1 Terminus
LMArena Text: non-English14081397DeepSeek V3.1 Terminus
LMArena Text: ChineseNot measured1422Only GPT-5 measured
LMArena Text: GermanNot measured1416Only GPT-5 measured
LMArena Text: JapaneseNot measured1409Only GPT-5 measured
LMArena Text: KoreanNot measured1360Only GPT-5 measured
LMArena Text: FrenchNot measured1409Only GPT-5 measured
LMArena Text: SpanishNot measured1399Only GPT-5 measured
LMArena Text: Russian14351407DeepSeek V3.1 Terminus
LMArena Text: Polish14271431GPT-5
LMArena Text: multi-turn14111426GPT-5
LMArena Text: longer queries14221399DeepSeek V3.1 Terminus
LMArena Text: writing and language14091384DeepSeek V3.1 Terminus
LMArena Text: entertainment and media13911379DeepSeek V3.1 Terminus
LMArena Vision: EnglishNot measured1231Only GPT-5 measured
LMArena Vision: ChineseNot measured1267Only GPT-5 measured
LMArena Vision: reading textNot measured1246Only GPT-5 measured
LMArena Vision: humorNot measured1219Only GPT-5 measured
LMArena Vision: captioningNot measured1212Only GPT-5 measured
LMArena Vision: recognizing thingsNot measured1263Only GPT-5 measured
LMArena Vision: creative writingNot measured1210Only GPT-5 measured
Neither model has a result on the other 13 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-5
BenchmarkDeepSeek V3.1 TerminusGPT-5Leader
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-5$0.0063Fits 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-5$0.092Fits 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-5$0.350Fits in one request

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-5
SpecificationDeepSeek V3.1 TerminusOpenAI GPT-5
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 22, 2025August 7, 2025
Context window164K400K
Input $/Mtok$0.3063$1.25
Output $/Mtok$1.0142$10.00
Coding indexNot benchmarked38.8
Independent measurements behind it03
Cost per solved taskNot computable$0.39
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 Terminus better than GPT-5 for coding?

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; DeepSeek V3.1 Terminus has none, so the two cannot be ranked on coding. Pick DeepSeek V3.1 Terminus for output tokens 9.9x cheaper ($1.0142 vs $10.00 per million) and work measured by AA Coding Index or LMArena Text: software and IT, where it leads.

Which is cheaper, DeepSeek V3.1 Terminus or GPT-5?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; GPT-5 costs $1.25 and $10.00. Cost per solved task is known for GPT-5 only.

Which has the bigger context window, DeepSeek V3.1 Terminus or GPT-5?

GPT-5, with 400K tokens against 164K.

How many benchmarks is the DeepSeek V3.1 Terminus vs GPT-5 comparison based on?

43 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.1 Terminus's coding index rests on 0 independent benchmarks and GPT-5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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