Compare
Claude 3 Haiku vs Claude Sonnet 4 6
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
Claude 3 Haiku
Context window
200K
200,000 tokens · ~150K words
Model
Claude Sonnet 4 6
Context window
1M
1,000,000 tokens · ~750K 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.
Claude Sonnet 4 6 has about 5× the context window of the other in this pair.
Claude Sonnet 4 6 has 400% more context capacity (1000K vs 200K tokens). Claude 3 Haiku is 91% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Claude Sonnet 4 6. Its 1000K context fits entire documents without chunking (vs 200K).
RAG / high-volume retrieval
Use Claude 3 Haiku. Input tokens are 91% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Claude Sonnet 4 6. Its 64K 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 | Claude 3 Haiku | Claude Sonnet 4 6 |
|---|---|---|
| Context window | 200,000 tokens (200K) | 1,000,000 tokens (1000K) |
| Max output tokens | 4,096 tokens (4K) | 64,000 tokens (64K) |
| Speed tier | Fast | Balanced |
| Vision | Yes | Yes |
| Function calling | Yes | Yes |
| Extended thinking | No | Yes |
| Prompt caching | Yes | Yes |
| Batch API | Yes | Yes |
| Release date | Mar 2024 | 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 | Claude 3 Haiku in | Claude 3 Haiku out | Claude Sonnet 4 6 in | Claude Sonnet 4 6 out |
|---|---|---|---|---|
| Anthropic | — | — | $3.00/M | $15.00/M |
| Aws Bedrock | — | — | $3.00/M | $15.00/M |
| Azure | — | — | $3.00/M | $15.00/M |
| Google Vertex | $0.250/M | $1.25/M | $3.00/M | $15.00/M |
| Openrouter | $0.250/M | $1.25/M | $3.00/M | $15.00/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