Compare

Granite Ttm 1024 96 R2 vs Granite Ttm 1536 96 R2

This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.

Ibm

Model

Granite Ttm 1024 96 R2

Context window

1K

512 tokens · ~384 words

Model page
Ibm

Model

Granite Ttm 1536 96 R2

Context window

1K

512 tokens · ~384 words

Model page

Context window · side by side

Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.

Granite Ttm 1024 96 R21K
Granite Ttm 1536 96 R21K

Same context window size for both models.

Granite Ttm 1024 96 R2 and Granite Ttm 1536 96 R2 have identical context windows (0K tokens). Granite Ttm 1536 96 R2 is 0% cheaper on input.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecGranite Ttm 1024 96 R2Granite Ttm 1536 96 R2
Context window512 tokens (0K)512 tokens (0K)
Max output tokens512 tokens (0K)512 tokens (0K)
Speed tierBalancedBalanced
VisionNoNo
Function callingNoNo
Extended thinkingNoNo
Prompt cachingNoNo
Batch APINoNo
Release dateN/AN/A

Pricing matrix

Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.

ProviderGranite Ttm 1024 96 R2 inGranite Ttm 1024 96 R2 outGranite Ttm 1536 96 R2 inGranite Ttm 1536 96 R2 out
Ibm Watsonx$0.380/M$0.380/M$0.380/M$0.380/M

Frequently asked questions

Granite Ttm 1536 96 R2 has a larger context window: 0K tokens vs 0K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model