Context Window

Compare

Claude 3 5 Haiku vs GPT-4.1 Mini (batch)

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 3 5 Haiku

Context window

200K

200,000 tokens · ~150K words

Model page
Openai

Model

GPT-4.1 Mini (batch)

Image inputTool 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 3 5 Haiku200K
GPT-4.1 Mini (batch)1.0M

GPT-4.1 Mini (batch) has about 5.2× the context window of the other in this pair.

Token calculator →Memory savings →

GPT-4.1 Mini (batch) has 423% more context capacity (1047K vs 200K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use GPT-4.1 Mini (batch). Its 1047K context fits entire documents without chunking (vs 200K).

  • Long output (reports, code files)

    Use GPT-4.1 Mini (batch). 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 3 5 HaikuGPT-4.1 Mini (batch)
Context window200,000 tokens (200K)1,047,576 tokens (1047K)
Max output tokens8,192 tokens (8K)32,768 tokens (32K)
Speed tierFastFast
VisionNoYes
Function callingNoYes
Extended thinkingNoNo
Prompt cachingYesYes
Batch APIYesNo
Release dateN/AApr 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.

ProviderClaude 3 5 Haiku inClaude 3 5 Haiku outGPT-4.1 Mini (batch) inGPT-4.1 Mini (batch) out
Google Vertex$1.00/M$5.00/M——
Gradient$0.800/M$4.00/M——
Replicate$1.00/M$5.00/M——

Frequently asked questions

GPT-4.1 Mini (batch) has a larger context window: 1047K 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.

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