Context Window

Compare

Apac Anthropic Claude 3 Haiku 20240307 vs Mistral Large 2411

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

Apac Anthropic Claude 3 Haiku 20240307

Image inputTool calling

Context window

200K

200,000 tokens · ~150K words

Model page
Mistral

Model

Mistral Large 2411

Tool calling

Context window

128K

128,000 tokens · ~96K 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.

Apac Anthropic Claude 3 Haiku 20240307200K
Mistral Large 2411128K

Apac Anthropic Claude 3 Haiku 20240307 has about 1.6× the context window of the other in this pair.

Token calculator →Memory savings →

Apac Anthropic Claude 3 Haiku 20240307 has 56% more context capacity (200K vs 128K tokens). Apac Anthropic Claude 3 Haiku 20240307 is 87% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Apac Anthropic Claude 3 Haiku 20240307. Its 200K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Apac Anthropic Claude 3 Haiku 20240307. Input tokens are 87% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Mistral Large 2411. 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.

SpecApac Anthropic Claude 3 Haiku 20240307Mistral Large 2411
Context window200,000 tokens (200K)128,000 tokens (128K)
Max output tokens4,096 tokens (4K)128,000 tokens (128K)
Speed tierFastDeep
VisionYesNo
Function callingYesYes
Extended thinkingNoNo
Prompt cachingYesYes
Batch APIYesNo
Release dateN/ANov 2024

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.

ProviderApac Anthropic Claude 3 Haiku 20240307 inApac Anthropic Claude 3 Haiku 20240307 outMistral Large 2411 inMistral Large 2411 out
Aws Bedrock$0.250/M$1.25/M——
Google Vertex——$2.00/M$6.00/M
Mistral——$2.00/M$6.00/M

Frequently asked questions

Apac Anthropic Claude 3 Haiku 20240307 has a larger context window: 200K tokens vs 128K. 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