Mistral: Mistral Medium 3 vs Meta: Llama 4 Maverick
Head-to-head API cost, context, and performance comparison. Synced at 2:32:24 PM.
Executive Summary
When evaluating Mistral: Mistral Medium 3 against Meta: Llama 4 Maverick, the pricing structure is a key differentiator. Meta: Llama 4 Maverick is approximately 69% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, Meta: Llama 4 Maverick leads with a statistical ELO score of 1423. For tasks involving complex logic, coding, or instruction-following, developers might prefer Meta: Llama 4 Maverick, provided their budget allows for the API burn rate.
You are losing 69%
per million tokens by hardcoding Mistral: Mistral Medium 3.
Stop guessing exactly which model to route to. Deploy the 0ms Intelligence Engine to automatically arbitrage this 69% gap in your production environment instantly.
Raw Technical comparison
Verdict
If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Meta: Llama 4 Maverick wins out aggressively in pricing.
People Also Ask
Is Mistral: Mistral Medium 3 cheaper than Meta: Llama 4 Maverick?
No. Meta: Llama 4 Maverick is the more cost-effective model, operating at a lower price point per 1 million tokens.
Which model has the larger context window?
The Meta: Llama 4 Maverick model has the advantage in memory, offering a massive 1,048,576 token limit for document ingestion.