Context Window

Compare

Jamba 1 5 vs MiMo-V2.6-Pro-UltraSpeed

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

Jamba 1 5

Context window

256K

256,000 tokens · ~192K words

Model page
Xiaomi

Model

MiMo-V2.6-Pro-UltraSpeed

Image inputTool calling

Context window

1.0M

1,048,576 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.

Jamba 1 5256K
MiMo-V2.6-Pro-UltraSpeed1.0M

MiMo-V2.6-Pro-UltraSpeed has about 4.1× the context window of the other in this pair.

Token calculator →Memory savings →

MiMo-V2.6-Pro-UltraSpeed has 309% more context capacity (1048K vs 256K tokens). Jamba 1 5 is 95% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use MiMo-V2.6-Pro-UltraSpeed. Its 1048K context fits entire documents without chunking (vs 256K).

  • RAG / high-volume retrieval

    Use Jamba 1 5. Input tokens are 95% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Jamba 1 5. 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.

SpecJamba 1 5MiMo-V2.6-Pro-UltraSpeed
Context window256,000 tokens (256K)1,048,576 tokens (1048K)
Max output tokens256,000 tokens (256K)131,072 tokens (131K)
Speed tierBalancedBalanced
VisionNoYes
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoNo
Release dateN/ASep 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.

ProviderJamba 1 5 inJamba 1 5 outMiMo-V2.6-Pro-UltraSpeed inMiMo-V2.6-Pro-UltraSpeed out
Ai21$0.200/M$0.400/M——
Google Vertex$0.200/M$0.400/M——
Openrouter——$4.35/M$8.70/M

Frequently asked questions

MiMo-V2.6-Pro-UltraSpeed has a larger context window: 1048K 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

80% less to send — works with any model