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Databricks Gpt 6 1 Terra vs Deepseek V4p1 Flash Spot

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 1 Terra

Image inputTool calling

Context window

922K

922,000 tokens · ~692K words

Model page
Deepseek

Model

Deepseek V4p1 Flash Spot

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.

Databricks Gpt 6 1 Terra922K
Deepseek V4p1 Flash Spot1.0M

Deepseek V4p1 Flash Spot has about 1.1× the context window of the other in this pair.

Deepseek V4p1 Flash Spot has 13% more context capacity (1048K vs 922K tokens). Deepseek V4p1 Flash Spot is 79% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Deepseek V4p1 Flash Spot. Its 1048K context fits entire documents without chunking (vs 922K).

  • RAG / high-volume retrieval

    Use Deepseek V4p1 Flash Spot. Input tokens are 79% cheaper — critical when sending large retrieved contexts.

Full specs

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

SpecDatabricks Gpt 6 1 TerraDeepseek V4p1 Flash Spot
Context window922,000 tokens (922K)1,048,576 tokens (1048K)
Max output tokens128,000 tokens (128K)N/A
Speed tierBalancedFast
VisionYesYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APINoNo
Release dateN/AN/A

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 1 Terra inDatabricks Gpt 6 1 Terra outDeepseek V4p1 Flash Spot inDeepseek V4p1 Flash Spot out
Databricks$1.00/M$5.00/M——
Fireworks——$0.210/M$0.840/M

Frequently asked questions

Deepseek V4p1 Flash Spot has a larger context window: 1048K tokens vs 922K. 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