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GPT-4 vs Text Bison
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.
GPT-4 and Text Bison have identical context windows (8K tokens). Text Bison is 99% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
RAG / high-volume retrieval
Use Text Bison. Input tokens are 99% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use GPT-4. Its 4K 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 | GPT-4 | Text Bison |
|---|---|---|
| Context window | 8,192 tokens (8K) | 8,192 tokens (8K) |
| Max output tokens | 4,096 tokens (4K) | 1,024 tokens (1K) |
| Speed tier | Balanced | Balanced |
| Vision | No | No |
| Function calling | Yes | No |
| Extended thinking | No | No |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | May 2023 | 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 | GPT-4 in | GPT-4 out | Text Bison in | Text Bison out |
|---|---|---|---|---|
| Azure | $30.00/M | $60.00/M | — | — |
| — | — | $0.125/M | $0.125/M | |
| Openai | $30.00/M | $60.00/M | — | — |
| Openrouter | $30.00/M | $60.00/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