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Gemma 3 4b It Gguf vs Gpt 5 1 Chat 2025 11 13
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 5 1 Chat 2025 11 13
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 5 1 Chat 2025 11 13 have identical context windows (128K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long output (reports, code files)
Use Gpt 5 1 Chat 2025 11 13. 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 5 1 Chat 2025 11 13 |
|---|---|---|
| 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 | No |
| Extended thinking | No | Yes |
| Prompt caching | No | Yes |
| 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 | Gemma 3 4b It Gguf in | Gemma 3 4b It Gguf out | Gpt 5 1 Chat 2025 11 13 in | Gpt 5 1 Chat 2025 11 13 out |
|---|---|---|---|---|
| Azure | — | — | $1.25/M | $10.00/M |
| Lemonade | — | — | — | — |
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