Context Window

Compare

Databricks Meta Llama 3 1 8b vs DeepSeek V3.1

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.

Meta

Model

Databricks Meta Llama 3 1 8b

Context window

200K

200,000 tokens · ~150K words

Model page
Deepseek

Model

DeepSeek V3.1

Tool calling

Context window

164K

163,840 tokens · ~123K 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 Meta Llama 3 1 8b200K
DeepSeek V3.1164K

Databricks Meta Llama 3 1 8b has about 1.2× the context window of the other in this pair.

Token calculator →Memory savings →

Databricks Meta Llama 3 1 8b has 22% more context capacity (200K vs 163K tokens). Databricks Meta Llama 3 1 8b is 25% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Databricks Meta Llama 3 1 8b. Its 200K context fits entire documents without chunking (vs 163K).

  • RAG / high-volume retrieval

    Use Databricks Meta Llama 3 1 8b. Input tokens are 25% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use DeepSeek V3.1. Its 163K 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 Meta Llama 3 1 8bDeepSeek V3.1
Context window200,000 tokens (200K)163,840 tokens (163K)
Max output tokens128,000 tokens (128K)163,840 tokens (163K)
Speed tierFastBalanced
VisionNoNo
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoNo
Release dateN/AAug 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 Meta Llama 3 1 8b inDatabricks Meta Llama 3 1 8b outDeepSeek V3.1 inDeepSeek V3.1 out
Databricks$0.150/M$0.450/M——
Openrouter——$0.200/M$0.800/M

Frequently asked questions

Databricks Meta Llama 3 1 8b has a larger context window: 200K tokens vs 163K. 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