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Jp Anthropic Claude Opus 4 7 vs O3 2025 04 16

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.

Anthropic

Model

Jp Anthropic Claude Opus 4 7

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page
Openai

Model

O3 2025 04 16

Image inputTool calling

Context window

200K

200,000 tokens · ~150K 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.

Jp Anthropic Claude Opus 4 71M
O3 2025 04 16200K

Jp Anthropic Claude Opus 4 7 has about 5× the context window of the other in this pair.

Jp Anthropic Claude Opus 4 7 has 400% more context capacity (1000K vs 200K tokens). O3 2025 04 16 is 63% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Jp Anthropic Claude Opus 4 7. Its 1000K context fits entire documents without chunking (vs 200K).

  • RAG / high-volume retrieval

    Use O3 2025 04 16. Input tokens are 63% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Jp Anthropic Claude Opus 4 7. Its 128K 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.

SpecJp Anthropic Claude Opus 4 7O3 2025 04 16
Context window1,000,000 tokens (1000K)200,000 tokens (200K)
Max output tokens128,000 tokens (128K)100,000 tokens (100K)
Speed tierDeepDeep
VisionYesYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APIYesYes
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.

ProviderJp Anthropic Claude Opus 4 7 inJp Anthropic Claude Opus 4 7 outO3 2025 04 16 inO3 2025 04 16 out
Aws Bedrock$5.50/M$27.50/M
Azure$2.00/M$8.00/M
Openai$2.00/M$8.00/M

Frequently asked questions

Jp Anthropic Claude Opus 4 7 has a larger context window: 1000K tokens vs 200K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

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

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