Compare
Databricks Claude Opus 4 vs Gpt 5 2 Chat Latest
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
Databricks Claude Opus 4
Context window
200K
200,000 tokens · ~150K words
Model
Gpt 5 2 Chat Latest
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.
Databricks Claude Opus 4 has about 1.6× the context window of the other in this pair.
Databricks Claude Opus 4 has 56% more context capacity (200K vs 128K tokens). Gpt 5 2 Chat Latest is 88% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Databricks Claude Opus 4. Its 200K context fits entire documents without chunking (vs 128K).
RAG / high-volume retrieval
Use Gpt 5 2 Chat Latest. Input tokens are 88% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Databricks Claude Opus 4. Its 32K 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 | Databricks Claude Opus 4 | Gpt 5 2 Chat Latest |
|---|---|---|
| Context window | 200,000 tokens (200K) | 128,000 tokens (128K) |
| Max output tokens | 32,000 tokens (32K) | 16,384 tokens (16K) |
| Speed tier | Deep | Balanced |
| Vision | No | Yes |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | No | Yes |
| Batch API | Yes | 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 | Databricks Claude Opus 4 in | Databricks Claude Opus 4 out | Gpt 5 2 Chat Latest in | Gpt 5 2 Chat Latest out |
|---|---|---|---|---|
| Databricks | $15.00/M | $75.00/M | — | — |
| Openai | — | — | $1.75/M | $14.00/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