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Mistral Nemo 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 Mistral Nemo Replace Extract
Mistral NemoMistral AI
Coding
No data
Overall
No data
Output $/M
$0.15
S ExtractScaledown
Coding
No data
Overall
No data
Output $/M
No data
vs 131K vs 1M context window. Extract fits 7.6x 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 AMistral NemoMistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel BExtractScaledownNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
0
Mistral Nemo only
3
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
Mistral Nemo 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
Mistral Nemo $0.15 against Extract Free per million output tokens.
Context window
Mistral Nemo takes 131K 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.

CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
Coding benchmarks for Mistral Nemo and Extract
BenchmarkMistral NemoExtractLeader
Neither model has a result on 38 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Mistral Nemo and Extract
BenchmarkMistral NemoExtractLeader
Epoch Capabilities Index118.7Not measuredOnly Mistral Nemo measured
Neither model has a result on the other 1 board here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for Mistral Nemo and Extract
BenchmarkMistral NemoExtractLeader
Neither model has a result on 39 boards here
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Reasoning benchmarks for Mistral Nemo and Extract
BenchmarkMistral NemoExtractLeader
Neither model has a result on 21 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Mistral Nemo and Extract
BenchmarkMistral NemoExtractLeader
Neither model has a result on 13 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for Mistral Nemo and Extract
BenchmarkMistral NemoExtractLeader
MMLU65.3%Not measuredOnly Mistral Nemo measured
Neither model has a result on the other 16 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Mistral Nemo and Extract
BenchmarkMistral NemoExtractLeader
Neither model has a result on 9 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
General benchmarks for Mistral Nemo and Extract
BenchmarkMistral NemoExtractLeader
DTBench48.6%Not measuredOnly Mistral Nemo measured
Neither model has a result on the other 45 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mistral Nemo and Extract
BenchmarkMistral NemoExtractLeader
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

Mistral Nemo$0.0002Fits in one request
Extract$0.0000Fits in one request

Extract costs less

Repository review

50K input + 3K output tokens

Mistral Nemo$0.0080Fits in one request
Extract$0.0020Fits in one request

Extract costs less

Agent loop

200K input + 10K output tokens

Mistral Nemo$0.032Exceeds 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 Mistral Nemo and Extract
SpecificationMistral NemoScaleDown Extract
MakerMistral AIScaledown
WeightsOpen weightsNo public weights listed
ReleasedJuly 19, 2024October 13, 2026
Context window131K1M
Input $/Mtok$0.15$0.04
Output $/Mtok$0.15Free
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Nemo 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, Mistral Nemo or Extract?

Mistral Nemo costs $0.15 per million input tokens and $0.15 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, Mistral Nemo or Extract?

Extract, with 1M tokens against 131K.

How many benchmarks is the Mistral Nemo vs Extract comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Mistral Nemo'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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