Same LLaMA 4 Models, 5 Providers—Very Different Results!

The speaker tests the new Lama for Scout on five different providers with the same prompt to compare the performance. Multiple API providers host the same Lama 4 models, and the question is whether they provide the same level of performance or if there are differences.

The speaker describes creating a complex animation with a ball bouncing within a hexagon in HTML. Specific instructions include the ball's radius, colors, rotation, and movement within the hexagon.

Testing the Grock provider with specific settings such as token output limits and generation speed. Issues with quality and limitations due to token constraints are highlighted.

Testing the Open Router provider with default hyperparameters and constraints. Observations on token output and limitations are discussed.

Testing the Maverick provider with auto temperature settings and analyzing the generated output. Comparison of token generation speed and code quality is made.

Testing the Together AI provider and analyzing the token generation speed and output quality. Comparison with other providers is highlighted.

Comparing different API providers hosting the same model based on output speeds, price points, and performance. The importance of selecting the right provider based on context window and output requirements is emphasized.