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Granite 4.0 Micro vs Extract

Updated October 22, 2026; no benchmark has tested both models yet.

Granite 4.0 MicroIBM Granite
Coding
No data
Overall
No data
Output $/M
$0.112
S ExtractScaledown
Coding
No data
Overall
No data
Output $/M
No data
vs 131K vs 1M context window. Extract fits 7.6x more.

Granite 4.0 Micro or Extract: which to pick

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

Compare them on price, context and the boards below.

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; Extract 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.

At a glance

Coding index
Granite 4.0 Micro not benchmarked, Extract 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 Extract Free per million output tokens.
Context window
Granite 4.0 Micro takes 131K tokens, Extract 1M.

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 Extract
BenchmarkGranite 4.0 MicroExtractLeader
LiveCodeBench (Artificial Analysis run)18.0%Not measuredOnly Granite 4.0 Micro measured
Terminal-Bench Hard (Artificial Analysis run)1.5%Not measuredOnly 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 Extract
BenchmarkGranite 4.0 MicroExtractLeader
AA Intelligence Index5.1Not measuredOnly 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 Extract
BenchmarkGranite 4.0 MicroExtractLeader
τ²-Bench Telecom12.6%Not measuredOnly 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 Extract
BenchmarkGranite 4.0 MicroExtractLeader
GPQA Diamond (Artificial Analysis run)33.6%Not measuredOnly Granite 4.0 Micro measured
Humanity's Last Exam (Artificial Analysis run)5.0%Not measuredOnly Granite 4.0 Micro measured
GPQA Diamond (Epoch AI run)28.3%Not measuredOnly 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 Extract
BenchmarkGranite 4.0 MicroExtractLeader
AA Math Index6.0Not measuredOnly Granite 4.0 Micro measured
AIME 2025 (Artificial Analysis run)6.0%Not measuredOnly Granite 4.0 Micro measured
OTIS Mock AIME2.8%Not measuredOnly 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 Extract
BenchmarkGranite 4.0 MicroExtractLeader
MMLU Pro (Artificial Analysis run)44.7%Not measuredOnly 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 Extract
BenchmarkGranite 4.0 MicroExtractLeader
IFBench24.8%Not measuredOnly Granite 4.0 Micro measured
Long context reasoning (AA-LCR)7.0%Not measuredOnly 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
Extract$0.0000Fits in one request

Extract costs less

Repository review

50K input + 3K output tokens

Granite 4.0 Micro$0.0012Fits in one request
Extract$0.0020Fits 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
Extract$0.0080Fits in one request

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 Extract
SpecificationIBM Granite 4.0 MicroScaleDown Extract
MakerIBM GraniteScaledown
WeightsOpen weightsNo public weights listed
ReleasedOctober 20, 2025October 13, 2026
Context window131K1M
Input $/Mtok$0.017$0.04
Output $/Mtok$0.112Free
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Granite 4.0 Micro 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, Granite 4.0 Micro or Extract?

Granite 4.0 Micro costs $0.017 per million input tokens and $0.112 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, Granite 4.0 Micro or Extract?

Extract, with 1M tokens against 131K.

Has any benchmark tested both Granite 4.0 Micro and Extract?

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; Extract has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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