Fast and efficient with near-frontier intelligence.
Google's open multimodal model with 128K context and 140+ language support.
No shared demos for these models yet.
No captured outputs for these models yet.
Based on the Capability Index, Claude Haiku 4.5 scores higher (75.3 vs 64.6). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Gemma 3 27B has a lower blended cost. Claude Haiku 4.5: $1.00 input / $5.00 output. Gemma 3 27B: $0.10 input / $0.30 output.
Claude Haiku 4.5 has a larger context window: Claude Haiku 4.5 supports 200K tokens vs Gemma 3 27B at 110K tokens.
Yes, both Claude Haiku 4.5 and Gemma 3 27B support vision/image input.
Key differences: Claude Haiku 4.5 has a notably higher capability index (10.7 point gap); Gemma 3 27B is significantly cheaper; only Claude Haiku 4.5 offers extended reasoning mode. Compare full specs on this page.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Claude Haiku 4.5 and Gemma 3 27B for free on idapt.app to see which performs better for your specific needs.