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Claude 3 5 Sonnet vs o3
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.
Claude 3 5 Sonnet and o3 have identical context windows (200K tokens). o3 is 33% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
RAG / high-volume retrieval
Use o3. Input tokens are 33% cheaper — critical when sending large retrieved contexts.
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Claude 3 5 Sonnet | o3 |
|---|---|---|
| Context window | 200,000 tokens (200K) | 200,000 tokens (200K) |
| Max output tokens | N/A | 100,000 tokens (100K) |
| Speed tier | Balanced | Deep |
| Vision | No | Yes |
| Function calling | No | Yes |
| Extended thinking | No | Yes |
| Prompt caching | No | Yes |
| Batch API | Yes | Yes |
| Release date | N/A | Apr 2025 |
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 | Claude 3 5 Sonnet in | Claude 3 5 Sonnet out | o3 in | o3 out |
|---|---|---|---|---|
| Azure | — | — | $2.00/M | $8.00/M |
| Google Vertex | $3.00/M | $15.00/M | — | — |
| Gradient | $3.00/M | $15.00/M | — | — |
| Openai | — | — | $2.00/M | $8.00/M |
| Openrouter | $3.00/M | $15.00/M | — | — |
| Replicate | $3.75/M | $18.75/M | — | — |
| Snowflake | — | — | — | — |
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