Context Window

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Hermes3 8b vs Jp Anthropic 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.

Nous Research

Model

Hermes3 8b

Tool calling

Context window

131K

131,072 tokens · ~98K words

Model page
Anthropic

Model

Jp Anthropic Claude Sonnet 4 6

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page

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.

Hermes3 8b131K
Jp Anthropic Claude Sonnet 4 61M

Jp Anthropic Claude Sonnet 4 6 has about 7.6× the context window of the other in this pair.

Token calculator →Memory savings →

Jp Anthropic Claude Sonnet 4 6 has 662% more context capacity (1000K vs 131K tokens). Hermes3 8b is 99% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Jp Anthropic Claude Sonnet 4 6. Its 1000K context fits entire documents without chunking (vs 131K).

  • RAG / high-volume retrieval

    Use Hermes3 8b. Input tokens are 99% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Hermes3 8b. Its 131K 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.

SpecHermes3 8bJp Anthropic Claude Sonnet 4 6
Context window131,072 tokens (131K)1,000,000 tokens (1000K)
Max output tokens131,072 tokens (131K)64,000 tokens (64K)
Speed tierFastBalanced
VisionNoYes
Function callingYesYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoYes
Release dateN/AN/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.

ProviderHermes3 8b inHermes3 8b outJp Anthropic Claude Sonnet 4 6 inJp Anthropic Claude Sonnet 4 6 out
Aws Bedrock——$3.30/M$16.50/M
Lambda$0.025/M$0.040/M——

Frequently asked questions

Jp Anthropic Claude Sonnet 4 6 has a larger context window: 1000K tokens vs 131K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

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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.

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Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model