DeepSeek Chat V3 vs Databricks Llama 3.1 405B

Performance benchmarks + pricing comparison — updated April 2026

DeepSeek Chat V3

DeepSeek

Very affordable general-purpose model from DeepSeek. Strong coding and reasoning at low cost.

Input	$0.270/M
Output	$1.10/M
Context	128K tokens
Best For	Cost-sensitive projects, coding, general tasks
Benchmark	62/100

Databricks

Meta's 405B model hosted on Databricks. Largest open-weight model available for enterprise use.

Input	$5.00/M
Output	$15.00/M
Context	128K tokens
Best For	Enterprise AI, complex reasoning, custom fine-tuning

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

Scenario	DeepSeek Chat V3	Databricks Llama 3.1 405B	Savings
Small Script (1K lines)	$0.04	$0.63	DeepSeek Chat V3 saves $0.58 (93%)
Medium Feature (10K lines)	$0.31	$4.75	DeepSeek Chat V3 saves $4.44 (93%)
Large Project (50K lines)	$1.57	$23.75	DeepSeek Chat V3 saves $22.18 (93%)
Code Review (5K lines)	$0.07	$1.25	DeepSeek Chat V3 saves $1.18 (94%)

DeepSeek Chat V3 wins on both price and performance — $0.270/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Anthropic's balanced model for coding and general tasks. Best price-performance ratio in the Claude family.

Anthropic's most powerful model. Best for complex reasoning and challenging coding tasks.

Previous generation Sonnet. Still excellent for coding tasks at the same price point.

Fast, cost-effective model for high-volume tasks. Great for code review and simple queries.

First generation Opus. Highest reasoning capability in the Claude 3 family.

First generation Sonnet. Balanced performance for general tasks.