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Granite 4.0 Micro vs Hy4 preview

Granite 4.0 Micro costs 22.3x less per output token than Hy4 preview ($0.112 vs $2.501 per million). 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
Hy4 previewTencent
Coding
44.3
Overall
No data
Output $/M
$2.501
vs $0.112 vs $2.501 per 1M output tokens. Granite 4.0 Micro is 22.3x cheaper.

Granite 4.0 Micro or Hy4 preview: which to pick

Only Hy4 preview has a coding score, 44.3 on the Vibe Coding Index; Granite 4.0 Micro has none, so the two cannot be ranked on coding.

Pick Granite 4.0 Micro for output tokens 22.3x cheaper ($0.112 vs $2.501 per million).

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; Hy4 preview on LMArena WebDev, Terminal-Bench 4 (Vals AI) and Vibe Code Bench (Vals AI). 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, Hy4 preview 44.3 from 3 benchmarks.
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 Hy4 preview $2.501 per million output tokens, 22.3x apart.
Context window
Granite 4.0 Micro takes 131K tokens, Hy4 preview 1.05M.

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 Index12 boards measured
Coding benchmarks for Granite 4.0 Micro and Hy4 preview
BenchmarkGranite 4.0 MicroHy4 previewLeader
LMArena WebDevNot measured1631Only Hy4 preview measured
Terminal-Bench 4 (Vals AI)Not measured8.1%Only Hy4 preview measured
Vibe Code Bench (Vals AI)Not measured77.5%Only Hy4 preview measured
Code migration (Vals AI)Not measured47.4%Only Hy4 preview measured
ProgramBench (Vals AI)Not measured0.0%Only Hy4 preview measured
IOI (Vals AI)Not measured59.3%Only Hy4 preview measured
Terminal-Bench 2.1 (Vals AI)Not measured55.1%Only Hy4 preview measured
CyberBench (Vals AI)Not measured65.4%Only Hy4 preview measured
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
LMArena WebDev: ReactNot measured1653Only Hy4 preview measured
LMArena WebDev: HTMLNot measured1620Only Hy4 preview measured
Neither model has a result on the other 31 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Granite 4.0 Micro and Hy4 preview
BenchmarkGranite 4.0 MicroHy4 previewLeader
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 index9 boards measured
Agentic work benchmarks for Granite 4.0 Micro and Hy4 preview
BenchmarkGranite 4.0 MicroHy4 previewLeader
SREBench (Vals AI)Not measured2.3%Only Hy4 preview measured
Finance Agent (Vals AI)Not measured55.1%Only Hy4 preview measured
Tax Agent Bench (Vals AI)Not measured32.6%Only Hy4 preview measured
Legal Research Bench (Vals AI)Not measured45.2%Only Hy4 preview measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured8.8%Only Hy4 preview measured
Excel Modeling Benchmark (Vals AI)Not measured58.1%Only Hy4 preview measured
BioMysteryBench (Vals AI)Not measured69.3%Only Hy4 preview measured
Terminal-Bench-Science (Vals AI)Not measured1.4%Only Hy4 preview measured
τ²-Bench Telecom12.6%Not measuredOnly Granite 4.0 Micro measured
Neither model has a result on the other 33 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Reasoning benchmarks for Granite 4.0 Micro and Hy4 preview
BenchmarkGranite 4.0 MicroHy4 previewLeader
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 index4 boards measured
Math benchmarks for Granite 4.0 Micro and Hy4 preview
BenchmarkGranite 4.0 MicroHy4 previewLeader
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
ProofBenchNot measured75.0%Only Hy4 preview measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Knowledge benchmarks for Granite 4.0 Micro and Hy4 preview
BenchmarkGranite 4.0 MicroHy4 previewLeader
LegalBench (Vals AI)Not measured83.8%Only Hy4 preview measured
MedCode (Vals AI)Not measured43.3%Only Hy4 preview measured
MMLU Pro (Artificial Analysis run)44.7%Not measuredOnly Granite 4.0 Micro measured
Neither model has a result on the other 17 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
General benchmarks for Granite 4.0 Micro and Hy4 preview
BenchmarkGranite 4.0 MicroHy4 previewLeader
Vals IndexNot measured53.2%Only Hy4 preview measured
Public Benefits Bench (Vals AI)Not measured68.6%Only Hy4 preview measured
MedScribe (Vals AI)Not measured83.6%Only Hy4 preview measured
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 43 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
Hy4 preview$0.0021Fits 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
Hy4 preview$0.049Fits 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
Hy4 preview$0.192Fits 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 Hy4 preview
SpecificationIBM Granite 4.0 MicroTencent Hy4 preview
MakerIBM GraniteTencent
WeightsOpen weightsOpen weights
ReleasedOctober 20, 2025August 28, 2026
Context window131K1.05M
Input $/Mtok$0.017$0.834
Output $/Mtok$0.112$2.501
Coding indexNot benchmarked44.3
Independent measurements behind it03
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Granite 4.0 Micro better than Hy4 preview for coding?

Only Hy4 preview has a coding score, 44.3 on the Vibe Coding Index; Granite 4.0 Micro has none, so the two cannot be ranked on coding. Pick Granite 4.0 Micro for output tokens 22.3x cheaper ($0.112 vs $2.501 per million).

Which is cheaper, Granite 4.0 Micro or Hy4 preview?

Granite 4.0 Micro costs $0.017 per million input tokens and $0.112 per million output tokens; Hy4 preview costs $0.834 and $2.501. Cost per solved task is known for neither of them.

Which has the bigger context window, Granite 4.0 Micro or Hy4 preview?

Hy4 preview, with 1.05M tokens against 131K.

Has any benchmark tested both Granite 4.0 Micro and Hy4 preview?

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; Hy4 preview on LMArena WebDev, Terminal-Bench 4 (Vals AI) and Vibe Code Bench (Vals AI). Compare them on price and context instead. Data as of October 22, 2026.

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