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Schematron V2 Small vs Mistral Nemo

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.

Schematron V2 SmallInference.net
Coding
No data
Overall
No data
Output $/M
$0.23
Mistral NemoMistral AI
Coding
No data
Overall
No data
Output $/M
$0.15
vs $0.23 vs $0.15 per 1M output tokens. Mistral Nemo is 1.5x cheaper.

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.

Shared results
0
Schematron V2 Small only
0
Mistral Nemo only
3
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
Schematron V2 Small not benchmarked, Mistral Nemo 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
Schematron V2 Small $0.23 against Mistral Nemo $0.15 per million output tokens, 1.5x apart.
Context window
Schematron V2 Small takes 128K tokens, Mistral Nemo 131K.

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 Schematron V2 Small and Mistral Nemo
BenchmarkSchematron V2 SmallMistral NemoLeader
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 Schematron V2 Small and Mistral Nemo
BenchmarkSchematron V2 SmallMistral NemoLeader
Epoch Capabilities IndexNot measured118.7Only 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 Schematron V2 Small and Mistral Nemo
BenchmarkSchematron V2 SmallMistral NemoLeader
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 Schematron V2 Small and Mistral Nemo
BenchmarkSchematron V2 SmallMistral NemoLeader
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 Schematron V2 Small and Mistral Nemo
BenchmarkSchematron V2 SmallMistral NemoLeader
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 Schematron V2 Small and Mistral Nemo
BenchmarkSchematron V2 SmallMistral NemoLeader
MMLUNot measured65.3%Only 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 Schematron V2 Small and Mistral Nemo
BenchmarkSchematron V2 SmallMistral NemoLeader
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 Schematron V2 Small and Mistral Nemo
BenchmarkSchematron V2 SmallMistral NemoLeader
DTBenchNot measured48.6%Only 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 Schematron V2 Small and Mistral Nemo
BenchmarkSchematron V2 SmallMistral NemoLeader
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

Schematron V2 Small$0.0002Fits in one request
Mistral Nemo$0.0002Fits in one request

Schematron V2 Small costs less

Repository review

50K input + 3K output tokens

Schematron V2 Small$0.0032Fits in one request
Mistral Nemo$0.0080Fits in one request

Schematron V2 Small costs less

Agent loop

200K input + 10K output tokens

Schematron V2 Small$0.012Exceeds the context window
Mistral Nemo$0.032Exceeds the context window

Schematron V2 Small 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 Schematron V2 Small and Mistral Nemo
SpecificationInference.net Schematron V2 SmallMistral Nemo
MakerInference.netMistral AI
WeightsOpen weightsOpen weights
ReleasedSeptember 12, 2026July 19, 2024
Context window128K131K
Input $/Mtok$0.05$0.15
Output $/Mtok$0.23$0.15
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Schematron V2 Small better than Mistral Nemo 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, Schematron V2 Small or Mistral Nemo?

Schematron V2 Small costs $0.05 per million input tokens and $0.23 per million output tokens; Mistral Nemo costs $0.15 and $0.15. Cost per solved task is known for neither of them.

Which has the bigger context window, Schematron V2 Small or Mistral Nemo?

Mistral Nemo, with 131K tokens against 128K.

How many benchmarks is the Schematron V2 Small vs Mistral Nemo comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Schematron V2 Small's coding index rests on 0 independent benchmarks and Mistral Nemo's on 0. Where only one model has a result, the page says so instead of naming a winner.

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