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Last scan 2026-08-01 Models tracked 181 Providers 27 Cheapest paid Granite 4.0 Micro $0.017/Mtok in Every price links to its source

Granite 4.0 Micro

by IBM

Current budget open weights cheap tier

Today's price · per 1M tokens

Input

$0.017

per 1M tokens

Output

$0.112

per 1M tokens

Blended

$0.065

avg of input & output $/1M

Source: official IBM pricing · read Jun 25, 2026 MODELPRICEWATCH.COM · 2026-08-01

Overview

Smallest Granite 4 model. $0.017/$0.112 per 1M tokens.

Run it yourself

Deploy this open model on rented GPUs

Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.

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Capabilities

struck through = not supported
Input 1/5
Text ✓ Image Audio Video PDF
Output 1/5
Text ✓ Image Audio Video Embedding
Features 3/9
Prompt caching Reasoning Coding Fast inference ✓ Long context ✓ Open weights ✓ Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 0.7th1 independent measurement
Percentile per $/Mtok 11.7
MMMLU vendor
55.14%
BFCL vendor
59.98%
HumanEval vendor
80%

Every per-benchmark score we hold for this model is reported by its own vendor, so none is counted toward an accuracy average or any ranking. The percentile above is its standing across the independent composites below.

Independent composite scores
  • AA Intelligence Index: 2 (Artificial Analysis composite across reasoning, knowledge and coding evals)
How it stacks up
  • Ranks #133 of 133 comparably-measured models by percentile score, across 1 independent measurement
  • Ranks #95 of 133 comparably-tested models by normalized performance per dollar

Source: Artificial Analysis, IBM model card, IBM model card (5-shot) · updated Jul 18, 2026 · See full rankings →

Specifications

Provider
IBM
Context window
128K tokens
Modality
text
Parameters
Proprietary
Open source
Yes — open weights available
Released
Oct 19, 2025
Status
Current
Last updated
Jun 25, 2026
Tags
open-weightsbudgetfast

Availability verified: Not re-verified. We have no recent evidence that IBM still lists this model — treat availability as unconfirmed.