Context Window

Compare

Ai21 Jamba 1 5 Large vs GPT-4o Search Preview

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 Large

Context window

256K

256,000 tokens · ~192K words

Model page
Openai

Model

GPT-4o Search Preview

Image inputTool 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.

Ai21 Jamba 1 5 Large256K
GPT-4o Search Preview128K

Ai21 Jamba 1 5 Large has about 2× the context window of the other in this pair.

Token calculator →Memory savings →

Ai21 Jamba 1 5 Large has 100% more context capacity (256K vs 128K tokens). Ai21 Jamba 1 5 Large is 20% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Ai21 Jamba 1 5 Large. Its 256K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Ai21 Jamba 1 5 Large. Input tokens are 20% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Ai21 Jamba 1 5 Large. 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 LargeGPT-4o Search Preview
Context window256,000 tokens (256K)128,000 tokens (128K)
Max output tokens256,000 tokens (256K)16,384 tokens (16K)
Speed tierDeepBalanced
VisionNoYes
Function callingNoYes
Extended thinkingNoNo
Prompt cachingNoYes
Batch APINoYes
Release dateN/AMar 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.

ProviderAi21 Jamba 1 5 Large inAi21 Jamba 1 5 Large outGPT-4o Search Preview inGPT-4o Search Preview out
Aws Bedrock$2.00/M$8.00/M——
Openai——$2.50/M$10.00/M

Frequently asked questions

Ai21 Jamba 1 5 Large has a larger context window: 256K 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.

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