Context Window

Compare

Ai21 Jamba 1 5 Mini vs Claude Opus 4.7 (Fast)

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.

Ai21

Model

Ai21 Jamba 1 5 Mini

Context window

256K

256,000 tokens · ~192K words

Model page
Anthropic

Model

Claude Opus 4.7 (Fast)

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K 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.

Ai21 Jamba 1 5 Mini256K
Claude Opus 4.7 (Fast)1M

Claude Opus 4.7 (Fast) has about 3.9× the context window of the other in this pair.

Token calculator →Memory savings →

Claude Opus 4.7 (Fast) has 290% more context capacity (1000K vs 256K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Claude Opus 4.7 (Fast). Its 1000K context fits entire documents without chunking (vs 256K).

  • Long output (reports, code files)

    Use Ai21 Jamba 1 5 Mini. 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.

SpecAi21 Jamba 1 5 MiniClaude Opus 4.7 (Fast)
Context window256,000 tokens (256K)1,000,000 tokens (1000K)
Max output tokens256,000 tokens (256K)128,000 tokens (128K)
Speed tierFastDeep
VisionNoYes
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoYes
Release dateN/AMay 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.

ProviderAi21 Jamba 1 5 Mini inAi21 Jamba 1 5 Mini outClaude Opus 4.7 (Fast) inClaude Opus 4.7 (Fast) out
Aws Bedrock$0.200/M$0.400/M——

Frequently asked questions

Claude Opus 4.7 (Fast) 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.

Powered by Mem0

Use a smaller model.
Get better results.

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.

Calculate your savingsLearn about Mem0

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