IBM: Granite 4.0 Micro

Public pricingIntelligence 79/100Medium memoryगहरी सोचटूल उपयोग

IBM: Granite 4.0 Micro एक टेक्स्ट मॉडल है, जिसे सामान्य चैट, विश्लेषण और production use के लिए बनाया गया है। यह स्थिर general-purpose प्रदर्शन, 131K tokens का context और कम लागत profile जोड़कर general chat, analysis, and production workloads में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.02/1M

Output

$0.11/1M

Cached

$0.00/1M

Batch

$0.01/1M

Calculate your Granite 4.0 Micro bill.

Set your workload — see cost at your exact volume.

What would Granite 4.0 Micro cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Granite 4.0 Micro at a glance.

Memory

131,000

tokens

Max reply

8,192

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Oct 2025

Training cutoff

Dec 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    16

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Granite 4.0 Micro

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Granite 4.0 Micro — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Granite 4.0 Micro costs roughly $6 per month. Input is $0.02 /1M tokens and output is $0.11 /1M tokens.
Granite 4.0 Micro has a 131,000-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,563 words of input and history in a single call.
Beyond text generation, Granite 4.0 Micro supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Granite 4.0 Micro was released in October 2025, with training data cut off around December 2024.
Models in a similar class include gpt-oss-20b, Qwen-Turbo, MiniMax M2.5. The "Similar models" section below this FAQ links into each.

Still unsure?

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