Groq Mixtral 8x7B vs O3 Mini

Performance benchmarks + pricing comparison — updated April 2026

Groq Mixtral 8x7B

Groq

Mixtral MoE on Groq's LPU. Fast, cost-effective inference for general tasks.

Input	$0.240/M
Output	$0.240/M
Context	32K tokens
Best For	High-throughput text generation, chat, fast responses

OpenAI

OpenAI's reasoning model at lower cost. Strong at math, coding, and science tasks.

Input	$1.10/M
Output	$4.40/M
Context	200K tokens
Best For	Math, science, coding tasks requiring deep reasoning
Benchmark	80/100

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

Scenario	Groq Mixtral 8x7B	O3 Mini	Savings
Small Script (1K lines)	$0.02	$0.17	Groq Mixtral 8x7B saves $0.15 (91%)
Medium Feature (10K lines)	$0.13	$1.27	Groq Mixtral 8x7B saves $1.13 (90%)
Large Project (50K lines)	$0.66	$6.33	Groq Mixtral 8x7B saves $5.67 (90%)
Code Review (5K lines)	$0.05	$0.30	Groq Mixtral 8x7B saves $0.25 (84%)

Groq Mixtral 8x7B wins on both price and performance — $0.240/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.