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DeepSeek V3 vs Extract

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V3 Replace Extract
DeepSeek V3DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.9594
S ExtractScaledown
Coding
No data
Overall
No data
Output $/M
No data
vs 164K vs 1M context window. Extract fits 6.1x more.

Decision reading

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

Compare them on price, context and the boards below.

Model ADeepSeek V3DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BExtractScaledownNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
0
DeepSeek V3 only
13
Extract only
0
Like-for-like categories
0 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 not benchmarked, Extract not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
DeepSeek V3 $0.9594 against Extract Free per million output tokens.
Context window
DeepSeek V3 takes 164K tokens, Extract 1M.

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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards, none shared
Coding benchmarks for DeepSeek V3 and Extract
BenchmarkDeepSeek V3ExtractLeader
Aider polyglot70.2%Not measuredOnly DeepSeek V3 measured
SWE-bench Lite30.7%Not measuredOnly DeepSeek V3 measured
Neither model has a result on the other 36 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for DeepSeek V3 and Extract
BenchmarkDeepSeek V3ExtractLeader
Neither model has a result on 2 boards here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for DeepSeek V3 and Extract
BenchmarkDeepSeek V3ExtractLeader
Neither model has a result on 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Reasoning benchmarks for DeepSeek V3 and Extract
BenchmarkDeepSeek V3ExtractLeader
GPQA Diamond (Epoch AI run)71.2%Not measuredOnly DeepSeek V3 measured
Neither model has a result on the other 20 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Math benchmarks for DeepSeek V3 and Extract
BenchmarkDeepSeek V3ExtractLeader
OTIS Mock AIME48.9%Not measuredOnly DeepSeek V3 measured
Neither model has a result on the other 12 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for DeepSeek V3 and Extract
BenchmarkDeepSeek V3ExtractLeader
Neither model has a result on 17 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for DeepSeek V3 and Extract
BenchmarkDeepSeek V3ExtractLeader
Design Arena: websites1120Not measuredOnly DeepSeek V3 measured
Design Arena: UI components1093Not measuredOnly DeepSeek V3 measured
Design Arena: game dev1053Not measuredOnly DeepSeek V3 measured
Design Arena: data viz1089Not measuredOnly DeepSeek V3 measured
Design Arena: 3D1087Not measuredOnly DeepSeek V3 measured
Design Arena: all code categories1108Not measuredOnly DeepSeek V3 measured
Design Arena: SVG977Not measuredOnly DeepSeek V3 measured
Neither model has a result on the other 2 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
General benchmarks for DeepSeek V3 and Extract
BenchmarkDeepSeek V3ExtractLeader
DTBench62.7%Not measuredOnly DeepSeek V3 measured
LMCA15.2%Not measuredOnly DeepSeek V3 measured
Neither model has a result on the other 44 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3 and Extract
BenchmarkDeepSeek V3ExtractLeader
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$0.0008Fits in one request
Extract$0.0000Fits in one request

Extract costs less

Repository review

50K input + 3K output tokens

DeepSeek V3$0.017Fits in one request
Extract$0.0020Fits in one request

Extract costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3$0.067Exceeds the context window
Extract$0.0080Fits in one request

Extract 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 and Extract
SpecificationDeepSeek V3ScaleDown Extract
MakerDeepSeekScaledown
WeightsOpen weightsNo public weights listed
ReleasedDecember 26, 2024October 13, 2026
Context window164K1M
Input $/Mtok$0.2887$0.04
Output $/Mtok$0.9594Free
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3 better than Extract for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, DeepSeek V3 or Extract?

DeepSeek V3 costs $0.2887 per million input tokens and $0.9594 per million output tokens; Extract costs $0.04 and Free. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3 or Extract?

Extract, with 1M tokens against 164K.

How many benchmarks is the DeepSeek V3 vs Extract comparison based on?

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

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