Granite 4.0 Micro vs Schematron V2 Small

Granite 4.0 Micro costs 2.1x less per output token than Schematron V2 Small ($0.112 vs $0.23 per million). Updated October 23, 2026; no benchmark has tested both models yet.

Replace Granite 4.0 Micro Replace Schematron V2 Small

Granite 4.0 MicroIBM Granite

Coding: No data
Overall: No data
Output $/M: $0.112

Schematron V2 SmallInference.net

Coding: No data
Overall: No data
Output $/M: $0.23

vs $0.112 vs $0.23 per 1M output tokens. Granite 4.0 Micro is 2.1x cheaper.

Granite 4.0 Micro or Schematron V2 Small: which to pick

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

Pick Granite 4.0 Micro for output tokens 2.1x cheaper ($0.112 vs $0.23 per million) and a larger context window (131K against 128K tokens).

Model AGranite 4.0 MicroIBM GraniteNot benchmarkedNo coding benchmarkNo cost per solved task Model BSchematron V2 SmallInference.netNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Granite 4.0 Micro has results on LiveCodeBench (Artificial Analysis run), Terminal-Bench Hard (Artificial Analysis run) and AA Intelligence Index; Schematron V2 Small has none yet. 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 Granite 4.0 Micro has a AA Intelligence Index result, 5.1.
Directional only
Long documents
Listed context window
Granite 4.0 Micro
Granite 4.0 Micro takes 131K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Granite 4.0 Micro
Granite 4.0 Micro $0.0001, Schematron V2 Small $0.0002 per turn.
List prices

At a glance

Coding index: Granite 4.0 Micro not benchmarked, Schematron V2 Small 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: Granite 4.0 Micro $0.112 against Schematron V2 Small $0.23 per million output tokens, 2.1x apart.
Context window: Granite 4.0 Micro takes 131K tokens, Schematron V2 Small 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 Index2 boards measured

Coding benchmarks for Granite 4.0 Micro and Schematron V2 Small
Benchmark	Granite 4.0 Micro	Schematron V2 Small	Leader
LiveCodeBench (Artificial Analysis run)	18.0%	Not measured	Only Granite 4.0 Micro measured
Terminal-Bench Hard (Artificial Analysis run)	1.5%	Not measured	Only Granite 4.0 Micro measured
Neither model has a result on the other 41 boards here

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

Intelligence benchmarks for Granite 4.0 Micro and Schematron V2 Small
Benchmark	Granite 4.0 Micro	Schematron V2 Small	Leader
AA Intelligence Index	5.1	Not measured	Only Granite 4.0 Micro 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 Granite 4.0 Micro and Schematron V2 Small
Benchmark	Granite 4.0 Micro	Schematron V2 Small	Leader
τ²-Bench Telecom	12.6%	Not measured	Only Granite 4.0 Micro measured
Neither model has a result on the other 41 boards here

ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured

Reasoning benchmarks for Granite 4.0 Micro and Schematron V2 Small
Benchmark	Granite 4.0 Micro	Schematron V2 Small	Leader
GPQA Diamond (Artificial Analysis run)	33.6%	Not measured	Only Granite 4.0 Micro measured
Humanity's Last Exam (Artificial Analysis run)	5.0%	Not measured	Only Granite 4.0 Micro measured
GPQA Diamond (Epoch AI run)	28.3%	Not measured	Only Granite 4.0 Micro measured
Neither model has a result on the other 20 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured

Math benchmarks for Granite 4.0 Micro and Schematron V2 Small
Benchmark	Granite 4.0 Micro	Schematron V2 Small	Leader
AA Math Index	6.0	Not measured	Only Granite 4.0 Micro measured
AIME 2025 (Artificial Analysis run)	6.0%	Not measured	Only Granite 4.0 Micro measured
OTIS Mock AIME	2.8%	Not measured	Only Granite 4.0 Micro measured
Neither model has a result on the other 11 boards here

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

Knowledge benchmarks for Granite 4.0 Micro and Schematron V2 Small
Benchmark	Granite 4.0 Micro	Schematron V2 Small	Leader
MMLU Pro (Artificial Analysis run)	44.7%	Not measured	Only Granite 4.0 Micro measured
Neither model has a result on the other 19 boards here

GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured

General benchmarks for Granite 4.0 Micro and Schematron V2 Small
Benchmark	Granite 4.0 Micro	Schematron V2 Small	Leader
IFBench	24.8%	Not measured	Only Granite 4.0 Micro measured
Long context reasoning (AA-LCR)	7.0%	Not measured	Only Granite 4.0 Micro measured
Neither model has a result on the other 46 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

Granite 4.0 Micro$0.0001Fits in one request

Schematron V2 Small$0.0002Fits in one request

Granite 4.0 Micro costs less

Repository review

50K input + 3K output tokens

Granite 4.0 Micro$0.0012Fits in one request

Schematron V2 Small$0.0032Fits in one request

Granite 4.0 Micro costs less

Agent loop

200K input + 10K output tokens

Granite 4.0 Micro$0.0045Exceeds the context window

Schematron V2 Small$0.012Exceeds the context window

Granite 4.0 Micro 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 Granite 4.0 Micro and Schematron V2 Small
Specification	IBM Granite 4.0 Micro	Inference.net Schematron V2 Small
Maker	IBM Granite	Inference.net
Weights	Open weights	Open weights
Released	October 20, 2025	September 12, 2026
Context window	131K	128K
Input $/Mtok	$0.017	$0.05
Output $/Mtok	$0.112	$0.23
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 Granite 4.0 Micro better than Schematron V2 Small for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Granite 4.0 Micro for output tokens 2.1x cheaper ($0.112 vs $0.23 per million) and a larger context window (131K against 128K tokens).

Which is cheaper, Granite 4.0 Micro or Schematron V2 Small?

Granite 4.0 Micro costs $0.017 per million input tokens and $0.112 per million output tokens; Schematron V2 Small costs $0.05 and $0.23. Cost per solved task is known for neither of them.

Which has the bigger context window, Granite 4.0 Micro or Schematron V2 Small?

Granite 4.0 Micro, with 131K tokens against 128K.

Has any benchmark tested both Granite 4.0 Micro and Schematron V2 Small?

Granite 4.0 Micro or Schematron V2 Small: which to pick

Which one for your work

Coding

Intelligence

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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