Context Window

Compare

Claude Instant vs Granite Ttm 1024 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.

Anthropic

Model

Claude Instant

Context window

100K

100,000 tokens · ~75K words

Model page
Ibm

Model

Granite Ttm 1024 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.

Claude Instant100K
Granite Ttm 1024 96 R21K

Claude Instant has about 195.3× the context window of the other in this pair.

Token calculator →Memory savings →

Claude Instant has 19431% more context capacity (100K vs 0K tokens). Granite Ttm 1024 96 R2 is 52% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Claude Instant. Its 100K context fits entire documents without chunking (vs 0K).

  • RAG / high-volume retrieval

    Use Granite Ttm 1024 96 R2. Input tokens are 52% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Claude Instant. Its 8K max output lets you generate complete artifacts in one request.

Full specs

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

SpecClaude InstantGranite Ttm 1024 96 R2
Context window100,000 tokens (100K)512 tokens (0K)
Max output tokens8,191 tokens (8K)512 tokens (0K)
Speed tierBalancedBalanced
VisionNoNo
Function callingNoNo
Extended thinkingNoNo
Prompt cachingNoNo
Batch APIYesNo
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.

ProviderClaude Instant inClaude Instant outGranite Ttm 1024 96 R2 inGranite Ttm 1024 96 R2 out
Aws Bedrock$0.800/M$2.40/M——
Ibm Watsonx——$0.380/M$0.380/M

Frequently asked questions

Claude Instant has a larger context window: 100K 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.

Calculate your savingsLearn about Mem0

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