Context Window

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Ft:gpt 4 1 Nano 2025 04 14 vs Trinity Large Thinking (free)

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.

Openai

Model

Ft:gpt 4 1 Nano 2025 04 14

Tool calling

Context window

1.0M

1,047,576 tokens · ~786K words

Model page
Arcee Ai

Model

Trinity Large Thinking (free)

Tool calling

Context window

262K

262,144 tokens · ~197K 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.

Ft:gpt 4 1 Nano 2025 04 141.0M
Trinity Large Thinking (free)262K

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

Token calculator →Memory savings →

Ft:gpt 4 1 Nano 2025 04 14 has 299% more context capacity (1047K vs 262K tokens).

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 262K).

  • Long output (reports, code files)

    Use Trinity Large Thinking (free). Its 80K 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.

SpecFt:gpt 4 1 Nano 2025 04 14Trinity Large Thinking (free)
Context window1,047,576 tokens (1047K)262,144 tokens (262K)
Max output tokens32,768 tokens (32K)80,000 tokens (80K)
Speed tierFastDeep
VisionNoNo
Function callingYesYes
Extended thinkingNoYes
Prompt cachingYesNo
Batch APINoNo
Release dateN/AApr 2026

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.

ProviderFt:gpt 4 1 Nano 2025 04 14 inFt:gpt 4 1 Nano 2025 04 14 outTrinity Large Thinking (free) inTrinity Large Thinking (free) out
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 262K. 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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Without Mem0~128K tokens sent
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