Context Window

Compare

Claude Instant vs Ft:gpt 4 1 Nano 2025 04 14

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

Claude Instant

Context window

100K

100,000 tokens · ~75K words

Model page
Openai

Model

Ft:gpt 4 1 Nano 2025 04 14

Tool calling

Context window

1.0M

1,047,576 tokens · ~786K 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.

Claude Instant100K
Ft:gpt 4 1 Nano 2025 04 141.0M

Ft:gpt 4 1 Nano 2025 04 14 has about 10.5× the context window of the other in this pair.

Token calculator →Memory savings →

Ft:gpt 4 1 Nano 2025 04 14 has 947% more context capacity (1047K vs 100K tokens). Ft:gpt 4 1 Nano 2025 04 14 is 75% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Ft:gpt 4 1 Nano 2025 04 14. Its 1047K context fits entire documents without chunking (vs 100K).

  • RAG / high-volume retrieval

    Use Ft:gpt 4 1 Nano 2025 04 14. Input tokens are 75% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Ft:gpt 4 1 Nano 2025 04 14. Its 32K 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.

SpecClaude InstantFt:gpt 4 1 Nano 2025 04 14
Context window100,000 tokens (100K)1,047,576 tokens (1047K)
Max output tokens8,191 tokens (8K)32,768 tokens (32K)
Speed tierBalancedFast
VisionNoNo
Function callingNoYes
Extended thinkingNoNo
Prompt cachingNoYes
Batch APIYesNo
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.

ProviderClaude Instant inClaude Instant outFt:gpt 4 1 Nano 2025 04 14 inFt:gpt 4 1 Nano 2025 04 14 out
Aws Bedrock$0.800/M$2.40/M——
Openai——$0.200/M$0.800/M

Frequently asked questions

Ft:gpt 4 1 Nano 2025 04 14 has a larger context window: 1047K tokens vs 100K. 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
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Key memories
Current turn

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