Compare
Granite Guardian 3 2 2b vs Text Bison Safety Recitation Off
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.
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.
Same context window size for both models.
Granite Guardian 3 2 2b and Text Bison Safety Recitation Off have identical context windows (8K tokens). Granite Guardian 3 2 2b is 19% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
RAG / high-volume retrieval
Use Granite Guardian 3 2 2b. Input tokens are 19% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Granite Guardian 3 2 2b. 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.
| Spec | Granite Guardian 3 2 2b | Text Bison Safety Recitation Off |
|---|---|---|
| Context window | 8,192 tokens (8K) | 8,192 tokens (8K) |
| Max output tokens | 8,192 tokens (8K) | 1,024 tokens (1K) |
| Speed tier | Balanced | Balanced |
| Vision | No | No |
| Function calling | No | No |
| Extended thinking | No | No |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | N/A | N/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.
| Provider | Granite Guardian 3 2 2b in | Granite Guardian 3 2 2b out | Text Bison Safety Recitation Off in | Text Bison Safety Recitation Off out |
|---|---|---|---|---|
| — | — | $0.125/M | $0.125/M | |
| Ibm Watsonx | $0.100/M | $0.100/M | — | — |
Frequently asked questions
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
80% less to send — works with any model