Compare
Apac Anthropic Claude Haiku 4 5 20251001 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
Apac Anthropic Claude Haiku 4 5 20251001
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). Apac Anthropic Claude Haiku 4 5 20251001 is 63% 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 Apac Anthropic Claude Haiku 4 5 20251001. Input tokens are 63% 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 | Apac Anthropic Claude Haiku 4 5 20251001 | Claude Sonnet 4 6 |
|---|---|---|
| Context window | 200,000 tokens (200K) | 1,000,000 tokens (1000K) |
| Max output tokens | 64,000 tokens (64K) | 64,000 tokens (64K) |
| Speed tier | Fast | Balanced |
| Vision | Yes | Yes |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | Yes | Yes |
| Batch API | Yes | Yes |
| 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 | Apac Anthropic Claude Haiku 4 5 20251001 in | Apac Anthropic Claude Haiku 4 5 20251001 out | Claude Sonnet 4 6 in | Claude Sonnet 4 6 out |
|---|---|---|---|---|
| Anthropic | — | — | $3.00/M | $15.00/M |
| Aws Bedrock | $1.10/M | $5.50/M | $3.00/M | $15.00/M |
| Azure | — | — | $3.00/M | $15.00/M |
| Google Vertex | — | — | $3.00/M | $15.00/M |
| Openrouter | — | — | $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