Context Window

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Claude Fable 5 Default vs Devstral 2 2512

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 Fable 5 Default

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page
Mistral

Model

Devstral 2 2512

Tool calling

Context window

256K

256,000 tokens · ~192K 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 Fable 5 Default1M
Devstral 2 2512256K

Claude Fable 5 Default has about 3.9× the context window of the other in this pair.

Token calculator →Memory savings →

Claude Fable 5 Default has 290% more context capacity (1000K vs 256K tokens). Devstral 2 2512 is 96% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Claude Fable 5 Default. Its 1000K context fits entire documents without chunking (vs 256K).

  • RAG / high-volume retrieval

    Use Devstral 2 2512. Input tokens are 96% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Devstral 2 2512. Its 256K 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 Fable 5 DefaultDevstral 2 2512
Context window1,000,000 tokens (1000K)256,000 tokens (256K)
Max output tokens128,000 tokens (128K)256,000 tokens (256K)
Speed tierBalancedBalanced
VisionYesNo
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesYes
Batch APIYesNo
Release dateN/ADec 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 Fable 5 Default inClaude Fable 5 Default outDevstral 2 2512 inDevstral 2 2512 out
Google Vertex$10.00/M$50.00/M——
Mistral——$0.400/M$2.00/M
Openrouter——$0.150/M$0.600/M

Frequently asked questions

Claude Fable 5 Default has a larger context window: 1000K tokens vs 256K. 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

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