DeepSeek Reasoner (R1) vs Databricks Llama 3.1 405B

Performance benchmarks + pricing comparison — updated April 2026

DeepSeek Reasoner (R1)

DeepSeek

DeepSeek's reasoning model. Comparable to OpenAI's o1 but at much lower cost.

Input	$0.550/M
Output	$2.19/M
Context	128K tokens
Best For	Complex reasoning, math, advanced coding
Benchmark	72/100

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 Reasoner (R1)	Databricks Llama 3.1 405B	Savings
Small Script (1K lines)	$0.08	$0.63	DeepSeek Reasoner (R1) saves $0.54 (86%)
Medium Feature (10K lines)	$0.63	$4.75	DeepSeek Reasoner (R1) saves $4.12 (87%)
Large Project (50K lines)	$3.15	$23.75	DeepSeek Reasoner (R1) saves $20.60 (87%)
Code Review (5K lines)	$0.15	$1.25	DeepSeek Reasoner (R1) saves $1.10 (88%)

DeepSeek Reasoner (R1) wins on both price and performance — $0.550/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.