Claude Haiku 4.5 vs Gemma 4 26B A4B
Gemma 4 26B A4B: 54.1% average across four Vision Evals tasks (#52 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 26B A4B Comparison Table
Evals updated October 26, 2026Pricing updated November 7, 2026
| Property | Claude Haiku 4.5 | Gemma 4 26B A4B |
|---|---|---|
| Organization | Anthropic | |
| Category | closed | open |
| Modality | multimodal | multimodal |
| Release Date | Oct 2025 | Apr 2026 |
| Context Window | 200K | 256K |
| Parameters | Unknown | 25.2B |
| License | Proprietary | Apache 2.0 |
| Commercial use | commercial use per vendor terms | free for commercial use |
| Pricing per 1M tokens | ||
| Input $/1M | $1.00 | $0.068 |
| Output $/1M | $5.00 | $0.225 |
| Vision Tasks | ||
| Model Features | ||
Both support 3 more features | ||
Vision Evalsground-truth scores across 5 vision tasks | ||
| Overall | Not evaluated | 54.1%* |
| Quantizationsself-hosted | ||
| Avg cost / sample | – | $0.0019 |
| Avg speed / sample | – | 27.84s |
| By task | ||
| Object Detection | – | 44.2% ±0.7, Mean of 3 runs, range 43.5 to 44.8 |
| Counting | – | 43.2% ±2.0, Mean of 3 runs, range 41.9 to 46.0 |
| Identification | – | 81.3% ±3.1, Mean of 3 runs, range 78.1 to 84.4 |
| OCR | – | – |
| by category | ||
| Reasoning | – | 47.7% ±2.0, Mean of 3 runs, range 45.0 to 49.0 |
Claude Haiku 4.5 vs Gemma 4 26B A4B: 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 26B A4B is the Mixture-of-Experts variant in Google's Gemma 4 family, with 25.2B total parameters but only 3.8B active per token. Built from the same Gemini 3 research as the 31B dense sibling and released as open weights under the Apache 2.0 license, it supports a 256K token context window with text and image input and configurable thinking mode. The "A4B" in the name refers to its approximately 4B active parameters. The MoE design makes it significantly faster at inference than the dense 31B, running nearly as fast as a 4B-parameter model while delivering roughly 97% of the dense model's quality.
For vision tasks, the 26B A4B shares the same multimodal capabilities as the 31B image understanding with variable aspect ratios and resolutions, and structured bounding box output for UI element detection. The tradeoff versus the 31B dense model is a small quality reduction in exchange for much faster inference and lower hardware requirements, fitting in 18GB of VRAM at 4-bit quantization. It ranked #6 among open models on the Arena AI text leaderboard at launch.
Frequently Asked Questions
Claude Haiku 4.5 is released under Proprietary, while Gemma 4 26B A4B uses Apache 2.0. In practice: Claude Haiku 4.5: commercial use per vendor terms; Gemma 4 26B A4B: 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.