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Databricks Gemini 3 Pro Image vs Deepseek V4p1 Flash 1017 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.

Google

Model

Databricks Gemini 3 Pro Image

Image input

Context window

66K

65,536 tokens · ~49K words

Model page
Deepseek

Model

Deepseek V4p1 Flash 1017 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 Gemini 3 Pro Image66K
Deepseek V4p1 Flash 1017 Spot1.0M

Deepseek V4p1 Flash 1017 Spot has about 16× the context window of the other in this pair.

Deepseek V4p1 Flash 1017 Spot has 1500% more context capacity (1048K vs 65K tokens). Deepseek V4p1 Flash 1017 Spot is 91% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Deepseek V4p1 Flash 1017 Spot. Its 1048K context fits entire documents without chunking (vs 65K).

  • RAG / high-volume retrieval

    Use Deepseek V4p1 Flash 1017 Spot. Input tokens are 91% 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 Gemini 3 Pro ImageDeepseek V4p1 Flash 1017 Spot
Context window65,536 tokens (65K)1,048,576 tokens (1048K)
Max output tokens32,768 tokens (32K)N/A
Speed tierFastFast
VisionYesYes
Function callingNoYes
Extended thinkingNoYes
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 Gemini 3 Pro Image inDatabricks Gemini 3 Pro Image outDeepseek V4p1 Flash 1017 Spot inDeepseek V4p1 Flash 1017 Spot out
Databricks$2.50/M$15.00/M——
Fireworks——$0.210/M$0.840/M

Frequently asked questions

Deepseek V4p1 Flash 1017 Spot has a larger context window: 1048K tokens vs 65K. 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