Google: Gemma 3 27B

Google: Gemma 3 27B is a text-and-image model with a 131,072-token context window and support for tool use. It does not include a built-in reasoning mode, and structured output support is unconfirmed. The 16,384-token output cap is adequate for most generation tasks but may constrain very long-form work. At $0.08 per million input tokens and $0.16 per million output tokens, this sits at the budget end of the multimodal market. That pricing is its clearest argument for consideration, but the benchmark picture is thin: a blended score of 19.9 drawn from only three benchmarks leaves capability claims largely unproven relative to more thoroughly evaluated competitors. Teams running high-volume, cost-sensitive workloads that include image inputs may find it worth piloting, but those prioritizing demonstrated performance across a broad task range should treat the benchmarks here as preliminary rather than conclusive.