DeepSeek V3.1 vs GPT-4o-mini (2024-07-18)

GPT-4o-mini (2024-07-18) costs 2.5x less per output token than DeepSeek V3.1 ($0.60 vs $1.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace DeepSeek V3.1 Replace GPT-4o-mini (2024-07-18)

DeepSeek V3.1DeepSeek

Coding: No data
Overall: No data
Output $/M: $1.50

GPT-4o-mini (2024-07-18)OpenAI

Coding: No data
Overall: No data
Output $/M: $0.60

vs $1.50 vs $0.60 per 1M output tokens. GPT-4o-mini (2024-07-18) is 2.5x cheaper.

DeepSeek V3.1 or GPT-4o-mini (2024-07-18): which to pick

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

Pick DeepSeek V3.1 for a larger context window (164K against 128K tokens).

Model ADeepSeek V3.1DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved task Model BGPT-4o-mini (2024-07-18)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. DeepSeek V3.1 has results on AA Intelligence Index, Kagi LLM Benchmark and Design Arena: websites; GPT-4o-mini (2024-07-18) on Aider polyglot, WeirdML and LMArena Text: coding. Compare them on price and context instead.

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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only DeepSeek V3.1 has a AA Intelligence Index result, 13.7.
Directional only
Web design
Design Arena: websites
No call
Only DeepSeek V3.1 has a Design Arena: websites result, 1122.
Directional only
Long documents
Listed context window
DeepSeek V3.1
DeepSeek V3.1 takes 164K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-4o-mini (2024-07-18)
DeepSeek V3.1 $0.0013, GPT-4o-mini (2024-07-18) $0.0004 per turn.
List prices

At a glance

Coding index: DeepSeek V3.1 not benchmarked, GPT-4o-mini (2024-07-18) not benchmarked.
Widest category: None yet: no category has been tested on both models.
Widest single gap: None yet: no benchmark has tested both models.
Output price: DeepSeek V3.1 $1.50 against GPT-4o-mini (2024-07-18) $0.60 per million output tokens, 2.5x apart.
Context window: DeepSeek V3.1 takes 164K tokens, GPT-4o-mini (2024-07-18) 128K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards measured

Coding benchmarks for DeepSeek V3.1 and GPT-4o-mini (2024-07-18)
Benchmark	DeepSeek V3.1	GPT-4o-mini (2024-07-18)	Leader
Aider polyglot	Not measured	3.6%	Only GPT-4o-mini (2024-07-18) measured
WeirdML	Not measured	11.8%	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: coding	Not measured	1290	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: software and IT	Not measured	1291	Only GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 39 boards here

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured

Intelligence benchmarks for DeepSeek V3.1 and GPT-4o-mini (2024-07-18)
Benchmark	DeepSeek V3.1	GPT-4o-mini (2024-07-18)	Leader
AA Intelligence Index	13.7	Not measured	Only DeepSeek V3.1 measured
Neither model has a result on the other 1 board here

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured

Agentic work benchmarks for DeepSeek V3.1 and GPT-4o-mini (2024-07-18)
Benchmark	DeepSeek V3.1	GPT-4o-mini (2024-07-18)	Leader
BALROG	Not measured	17.4%	Only GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 41 boards here

ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured

Reasoning benchmarks for DeepSeek V3.1 and GPT-4o-mini (2024-07-18)
Benchmark	DeepSeek V3.1	GPT-4o-mini (2024-07-18)	Leader
GPQA Diamond (Epoch AI run)	Not measured	37.7%	Only GPT-4o-mini (2024-07-18) measured
SimpleBench	Not measured	10.7%	Only GPT-4o-mini (2024-07-18) measured
Chess puzzles	Not measured	3.0%	Only GPT-4o-mini (2024-07-18) measured
Mystery game puzzles	Not measured	12.0%	Only GPT-4o-mini (2024-07-18) measured
VPCT	Not measured	34.0%	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: hard prompts	Not measured	1267	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: expert	Not measured	1234	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: hard prompts in English	Not measured	1278	Only GPT-4o-mini (2024-07-18) measured
Kagi LLM Benchmark	53.2%	Not measured	Only DeepSeek V3.1 measured
Neither model has a result on the other 14 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured

Math benchmarks for DeepSeek V3.1 and GPT-4o-mini (2024-07-18)
Benchmark	DeepSeek V3.1	GPT-4o-mini (2024-07-18)	Leader
OTIS Mock AIME	Not measured	6.9%	Only GPT-4o-mini (2024-07-18) measured
FrontierMath, tiers 1 to 3	Not measured	0.7%	Only GPT-4o-mini (2024-07-18) measured
MATH level 5	Not measured	52.6%	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: math	Not measured	1267	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: mathematical work	Not measured	1271	Only GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 9 boards here

KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured

Knowledge benchmarks for DeepSeek V3.1 and GPT-4o-mini (2024-07-18)
Benchmark	DeepSeek V3.1	GPT-4o-mini (2024-07-18)	Leader
SimpleQA Verified	Not measured	8.3%	Only GPT-4o-mini (2024-07-18) measured
MMLU	Not measured	76.7%	Only GPT-4o-mini (2024-07-18) measured
GeoBench	Not measured	64.0%	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: science	Not measured	1286	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: medicine and healthcare	Not measured	1282	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: legal and government	Not measured	1305	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: business and finance	Not measured	1265	Only GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 13 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured

Web design benchmarks for DeepSeek V3.1 and GPT-4o-mini (2024-07-18)
Benchmark	DeepSeek V3.1	GPT-4o-mini (2024-07-18)	Leader
Design Arena: websites	1122	Not measured	Only DeepSeek V3.1 measured
Design Arena: UI components	1083	Not measured	Only DeepSeek V3.1 measured
Design Arena: game dev	1084	Not measured	Only DeepSeek V3.1 measured
Design Arena: data viz	1096	Not measured	Only DeepSeek V3.1 measured
Design Arena: 3D	1077	Not measured	Only DeepSeek V3.1 measured
Design Arena: all code categories	1112	Not measured	Only DeepSeek V3.1 measured
Design Arena: SVG	967	Not measured	Only DeepSeek V3.1 measured
Neither model has a result on the other 2 boards here

GeneralDirectional onlyPublic boards, shown as published, kept out of the index23 boards measured

General benchmarks for DeepSeek V3.1 and GPT-4o-mini (2024-07-18)
Benchmark	DeepSeek V3.1	GPT-4o-mini (2024-07-18)	Leader
DTBench	82.7%	Not measured	Only DeepSeek V3.1 measured
LMCA	24.3%	Not measured	Only DeepSeek V3.1 measured
Creative writing (Lech Mazur)	Not measured	67.2%	Only GPT-4o-mini (2024-07-18) measured
LMArena Text	Not measured	1286	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: instruction following	Not measured	1258	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: creative writing	Not measured	1268	Only GPT-4o-mini (2024-07-18) measured
LMArena Vision	Not measured	1066	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: English	Not measured	1301	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: non-English	Not measured	1266	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: Chinese	Not measured	1265	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: German	Not measured	1272	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: Japanese	Not measured	1216	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: Korean	Not measured	1195	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: French	Not measured	1297	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: Spanish	Not measured	1276	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: Russian	Not measured	1275	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: Polish	Not measured	1244	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: multi-turn	Not measured	1285	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: longer queries	Not measured	1289	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: writing and language	Not measured	1282	Only GPT-4o-mini (2024-07-18) measured
LMArena Text: entertainment and media	Not measured	1253	Only GPT-4o-mini (2024-07-18) measured
LMArena Vision: English	Not measured	1072	Only GPT-4o-mini (2024-07-18) measured
LMArena Vision: Chinese	Not measured	1033	Only GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 25 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$0.0013Fits in one request

GPT-4o-mini (2024-07-18)$0.0004Fits in one request

GPT-4o-mini (2024-07-18) costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1$0.032Fits in one request

GPT-4o-mini (2024-07-18)$0.0093Fits in one request

GPT-4o-mini (2024-07-18) costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1$0.125Exceeds the context window

GPT-4o-mini (2024-07-18)$0.036Exceeds the context window

GPT-4o-mini (2024-07-18) 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 and GPT-4o-mini (2024-07-18)
Specification	DeepSeek V3.1	OpenAI GPT-4o-mini (2024-07-18)
Maker	DeepSeek	OpenAI
Weights	Open weights	No public weights listed
Released	August 21, 2025	July 18, 2024
Context window	164K	128K
Input $/Mtok	$0.55	$0.15
Output $/Mtok	$1.50	$0.60
Coding index	Not benchmarked	Not benchmarked
Independent measurements behind it	0	0
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is DeepSeek V3.1 better than GPT-4o-mini (2024-07-18) for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3.1 for a larger context window (164K against 128K tokens).

Which is cheaper, DeepSeek V3.1 or GPT-4o-mini (2024-07-18)?

DeepSeek V3.1 costs $0.55 per million input tokens and $1.50 per million output tokens; GPT-4o-mini (2024-07-18) costs $0.15 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3.1 or GPT-4o-mini (2024-07-18)?

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

Has any benchmark tested both DeepSeek V3.1 and GPT-4o-mini (2024-07-18)?

DeepSeek V3.1 or GPT-4o-mini (2024-07-18): which to pick

Which one for your work

Coding

Intelligence

Web design

Long documents

Everyday cost

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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