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Databricks Gpt 5 6 Luna vs R1

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 5 6 Luna

Image inputTool calling

Context window

922K

922,000 tokens · ~692K words

Model page
Deepseek

Model

R1

Tool 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.

Databricks Gpt 5 6 Luna922K
R1128K

Databricks Gpt 5 6 Luna has about 7.2× the context window of the other in this pair.

Databricks Gpt 5 6 Luna has 620% more context capacity (922K vs 128K tokens). R1 is 44% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Databricks Gpt 5 6 Luna. Its 922K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use R1. Input tokens are 44% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Databricks Gpt 5 6 Luna. 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 5 6 LunaR1
Context window922,000 tokens (922K)128,000 tokens (128K)
Max output tokens128,000 tokens (128K)8,192 tokens (8K)
Speed tierBalancedDeep
VisionYesNo
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesNo
Batch APINoNo
Release dateN/AJan 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.

ProviderDatabricks Gpt 5 6 Luna inDatabricks Gpt 5 6 Luna outR1 inR1 out
Aws Bedrock$1.35/M$5.40/M
Azure$1.35/M$5.40/M
Databricks$1.00/M$6.00/M
Deepinfra$0.700/M$2.40/M
Deepseek$0.550/M$2.19/M
Fireworks$3.00/M$8.00/M
Hyperbolic$0.400/M$0.400/M
Nebius$0.800/M$2.40/M
Novita$0.700/M$2.50/M
Openrouter$0.700/M$2.50/M
Replicate$3.75/M$10.00/M
Sambanova$5.00/M$7.00/M
Snowflake$1.35/M$5.40/M
Together Ai$3.00/M$7.00/M

Frequently asked questions

Databricks Gpt 5 6 Luna has a larger context window: 922K 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.

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