Claude Haiku 4.5 vs Gemma 4 31B
Gemma 4 31B: 57.7% average across four Vision Evals tasks (#41 of 65 models). We have not run Claude Haiku 4.5 through Roboflow's Vision Evals, so there is no head-to-head score. Run both on your own image below.
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Claude Haiku 4.5 vs Gemma 4 31B Comparison Table
Evals updated October 26, 2026Pricing updated November 7, 2026
| Property | Claude Haiku 4.5 | Gemma 4 31B |
|---|---|---|
| Organization | Anthropic | |
| Category | closed | open |
| Modality | multimodal | multimodal |
| Release Date | Oct 2025 | Apr 2026 |
| Context Window | 200K | 256K |
| Parameters | Unknown | 31B |
| License | Proprietary | Apache 2.0 |
| Commercial use | commercial use per vendor terms | free for commercial use |
| Pricing per 1M tokens | ||
| Input $/1M | $1.00 | $0.200 |
| Output $/1M | $5.00 | $0.400 |
| Vision Tasks | ||
| Model Features | ||
Both support 3 more features | ||
Vision Evalsground-truth scores across 5 vision tasks | ||
| Overall | Not evaluated | 57.7%* |
| Quantizationsself-hosted | ||
| Avg cost / sample | – | $0.0015 |
| Avg speed / sample | – | 34.36s |
| By task | ||
| Object Detection | – | 47.5% ±0.6, Mean of 3 runs, range 46.8 to 48.0 |
| Counting | – | 51.4% ±2.7, Mean of 3 runs, range 48.6 to 54.0 |
| Identification | – | 79.2% ±1.6, Mean of 3 runs, range 78.1 to 81.3 |
| OCR | – | – |
| by category | ||
| Reasoning | – | 52.8% ±1.3, Mean of 3 runs, range 51.7 to 54.3 |
Claude Haiku 4.5 vs Gemma 4 31B: Overview
Claude Haiku 4.5 is Anthropic’s lightweight model in the Claude 4.5 series, released in October 2025 under a proprietary license. Designed for speed and cost efficiency, it delivers near-frontier performance while maintaining Anthropic’s AI Safety Level 2 standard. Haiku 4.5 supports both text and multimodal (text and image) inputs, integrates tool use and extended reasoning, and features a 200,000 token context window, making it adept at handling long or complex workflows. Haiku 4.5 is ideal for developers and researchers seeking rapid, cost-effective model calls for analysis, coding, or multimodal understanding.
Gemma 4 31B is the largest dense model in Google's Gemma 4 family, built from the same research as Gemini 3 and released as open weights under the Apache 2.0 license. It supports a 256K token context window with text and image input, configurable thinking mode for step-by-step reasoning, and multilingual support across 140+ languages. The unquantized model fits on a single 80GB GPU.
For vision tasks, Gemma 4 31B supports image understanding with variable aspect ratios and resolutions, and can output structured bounding boxes for UI element detection, making it useful for document parsing and UI understanding. Compared to Gemma 3, it delivers stronger reasoning and multimodal performance. It is part of a four-size family alongside the 26B A4B MoE variant and two on-device models (E2B, E4B), with the 31B dense variant optimized for output quality and fine-tuning over inference speed.
Frequently Asked Questions
Claude Haiku 4.5 is released under Proprietary, while Gemma 4 31B uses Apache 2.0. In practice: Claude Haiku 4.5: commercial use per vendor terms; Gemma 4 31B: free for commercial use. Licensing often matters more than raw accuracy for commercial deployments, so check the terms against how you plan to ship.
Yes. The comparison demo on this page runs both models on the same image side by side for image captioning and open prompts in the free Roboflow Playground. You can try it instantly, and a free account unlocks unlimited runs.