Context Window

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GLM 5.3 Flash 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.

Z Ai

Model

GLM 5.3 Flash

Image inputTool calling

Context window

1.0M

1,048,576 tokens · ~786K 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.

GLM 5.3 Flash1.0M
MiMo-V2.6-Pro-UltraSpeed1.0M

Same context window size for both models.

Token calculator →Memory savings →

GLM 5.3 Flash and MiMo-V2.6-Pro-UltraSpeed have identical context windows (1048K tokens). GLM 5.3 Flash is 96% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • RAG / high-volume retrieval

    Use GLM 5.3 Flash. Input tokens are 96% cheaper — critical when sending large retrieved contexts.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecGLM 5.3 FlashMiMo-V2.6-Pro-UltraSpeed
Context window1,048,576 tokens (1048K)1,048,576 tokens (1048K)
Max output tokens131,072 tokens (131K)131,072 tokens (131K)
Speed tierFastBalanced
VisionYesYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APINoNo
Release dateAug 2026Sep 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.

ProviderGLM 5.3 Flash inGLM 5.3 Flash outMiMo-V2.6-Pro-UltraSpeed inMiMo-V2.6-Pro-UltraSpeed out
Friendliai$0.150/M$0.500/M——
Nebius$0.150/M$0.500/M——
Openrouter$0.150/M$0.500/M$4.35/M$8.70/M
Together Ai$0.150/M$0.500/M——
Z Ai$0.150/M$0.500/M——

Frequently asked questions

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