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Apac Anthropic Claude 3 Haiku 20240307 vs Hermes 4 405B
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 3 Haiku 20240307
Context window
200K
200,000 tokens · ~150K 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.
Apac Anthropic Claude 3 Haiku 20240307 has about 1.5× the context window of the other in this pair.
Apac Anthropic Claude 3 Haiku 20240307 has 52% more context capacity (200K vs 131K tokens). Apac Anthropic Claude 3 Haiku 20240307 is 75% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Apac Anthropic Claude 3 Haiku 20240307. Its 200K context fits entire documents without chunking (vs 131K).
RAG / high-volume retrieval
Use Apac Anthropic Claude 3 Haiku 20240307. Input tokens are 75% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Hermes 4 405B. Its 117K 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 | Apac Anthropic Claude 3 Haiku 20240307 | Hermes 4 405B |
|---|---|---|
| Context window | 200,000 tokens (200K) | 131,072 tokens (131K) |
| Max output tokens | 4,096 tokens (4K) | 117,964 tokens (117K) |
| Speed tier | Fast | Deep |
| Vision | Yes | No |
| Function calling | Yes | No |
| Extended thinking | No | Yes |
| Prompt caching | Yes | No |
| Batch API | Yes | No |
| Release date | N/A | Aug 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 | Apac Anthropic Claude 3 Haiku 20240307 in | Apac Anthropic Claude 3 Haiku 20240307 out | Hermes 4 405B in | Hermes 4 405B out |
|---|---|---|---|---|
| Aws Bedrock | $0.250/M | $1.25/M | — | — |
| Nebius | — | — | $1.00/M | $3.00/M |
| Openrouter | — | — | $1.00/M | $3.00/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