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Gemma 3 4b It Gguf vs GPT-4o (2024-11-20)
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.
Model
GPT-4o (2024-11-20)
Context window
128K
128,000 tokens · ~96K words
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.
Gemma 3 4b It Gguf and GPT-4o (2024-11-20) have identical context windows (128K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long output (reports, code files)
Use GPT-4o (2024-11-20). Its 16K 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 | Gemma 3 4b It Gguf | GPT-4o (2024-11-20) |
|---|---|---|
| Context window | 128,000 tokens (128K) | 128,000 tokens (128K) |
| Max output tokens | 8,192 tokens (8K) | 16,384 tokens (16K) |
| Speed tier | Balanced | Balanced |
| Vision | No | Yes |
| Function calling | Yes | Yes |
| Extended thinking | No | No |
| Prompt caching | No | Yes |
| Batch API | No | Yes |
| Release date | N/A | Nov 2024 |
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 | Gemma 3 4b It Gguf in | Gemma 3 4b It Gguf out | GPT-4o (2024-11-20) in | GPT-4o (2024-11-20) out |
|---|---|---|---|---|
| Azure | — | — | $2.75/M | $11.00/M |
| Lemonade | — | — | — | — |
| Openai | — | — | $2.50/M | $10.00/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