Compare

Databricks Gpt 6 Astra vs KAT-Coder-Pro V2

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.

Openai

Model

Databricks Gpt 6 Astra

Image inputTool calling

Context window

922K

922,000 tokens · ~692K words

Model page
Kwaipilot

Model

KAT-Coder-Pro V2

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.

Databricks Gpt 6 Astra922K
KAT-Coder-Pro V2256K

Databricks Gpt 6 Astra has about 3.6× the context window of the other in this pair.

Databricks Gpt 6 Astra has 260% more context capacity (922K vs 256K tokens). KAT-Coder-Pro V2 is 97% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Databricks Gpt 6 Astra. Its 922K context fits entire documents without chunking (vs 256K).

  • RAG / high-volume retrieval

    Use KAT-Coder-Pro V2. Input tokens are 97% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Databricks Gpt 6 Astra. Its 128K 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.

SpecDatabricks Gpt 6 AstraKAT-Coder-Pro V2
Context window922,000 tokens (922K)256,000 tokens (256K)
Max output tokens128,000 tokens (128K)80,000 tokens (80K)
Speed tierBalancedBalanced
VisionYesNo
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesYes
Batch APINoNo
Release dateN/AMar 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.

ProviderDatabricks Gpt 6 Astra inDatabricks Gpt 6 Astra outKAT-Coder-Pro V2 inKAT-Coder-Pro V2 out
Databricks$10.00/M$50.00/M——
Novita——$0.300/M$1.20/M
Openrouter——$0.300/M$1.20/M

Frequently asked questions

Databricks Gpt 6 Astra has a larger context window: 922K 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.

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