Claude Haiku 4.5 vs MiMo V2.6 Pro
Compare Claude Haiku 4.5 and MiMo V2.6 Pro side-by-side. See how these vision models stack up in Image Captioning, Open Prompt, OCR, Classification, and Object Detection.
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Claude Haiku 4.5 vs MiMo V2.6 Pro Comparison Table
Evals updated September 22, 2026Pricing updated September 23, 2026
| Property | Claude Haiku 4.5 | MiMo V2.6 Pro |
|---|---|---|
| Organization | Anthropic | Xiaomi |
| Category | closed | open |
| Modality | multimodal | multimodal |
| Release Date | Oct 2025 | Sep 2026 |
| Context Window | 200K | 1.0M |
| Parameters | 1.02T total, 42B active | |
| License | Proprietary | MIT |
| Pricing per 1M tokens | ||
| Input $/1M | $1.00 | $0.435 |
| Output $/1M | $5.00 | $0.870 |
| Vision Tasks | ||
| Captioning | Demo | Demo |
| Chart Question Answering | ||
| Classification | Demo | Demo |
| Document Question Answering | ||
| Image Tagging | ||
| Multi-Label Classification | ||
| Object Detection | Demo | Demo |
| OCR | Demo | Demo |
| Vision Language | ||
| Visual Question Answering | Demo | Demo |
| Model Features | ||
| Foundation Vision | ||
| LLMs with Vision Capabilities | ||
| Multimodal Vision | ||
Vision Evalsground-truth scores across 6 vision tasks, pooled at low effort | ||
| Overall | Not evaluated | 62.5% |
| Avg cost / sample | – | $0.0008 |
| Avg speed / sample | – | 8.47s |
| By task | ||
| Object Detection (low) | – | 42.0% ±1.1, Mean of 3 runs, range 40.9 to 43.1 |
| Object Detection (high) | – | 46.7% ±0.8, Mean of 3 runs, range 45.7 to 47.3 |
| Counting (low) | – | 50.0% ±2.0, Mean of 3 runs, range 48.6 to 52.7 |
| Counting (high) | – | 59.0% ±5.4, Mean of 3 runs, range 52.7 to 63.5 |
| Identification (low) | – | 76.0% ±1.6, Mean of 3 runs, range 75.0 to 78.1 |
| Identification (high) | – | 78.1% ±4.7, Mean of 3 runs, range 71.9 to 81.3 |
| OCR (low) | – | 90.7% ±1.7, Mean of 3 runs, range 88.5 to 91.9 |
| OCR (high) | – | 87.5% ±2.7, Mean of 3 runs, range 85.3 to 90.6 |
| Data Extraction (low) | – | 81.1% ±0.5, Mean of 3 runs, range 80.4 to 81.4 |
| Data Extraction (high) | – | 80.4% ±1.5, Mean of 3 runs, range 79.4 to 82.5 |
| Reasoning (low) | – | 35.1% ±2.6, Mean of 3 runs, range 32.5 to 37.8 |
| Reasoning (high) | – | 55.9% ±2.3, Mean of 3 runs, range 54.3 to 58.9 |
Claude Haiku 4.5 vs MiMo V2.6 Pro: 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. Though the parameter count remains undisclosed, it achieves about 73.3% on SWE-bench Verified, reflecting strong coding and reasoning ability. Haiku 4.5 is ideal for developers and researchers seeking rapid, cost-effective model calls for analysis, coding, or multimodal understanding.
MiMo V2.6 Pro is the flagship omni-modal foundation model in Xiaomi's MiMo V2.6 series, released as open weights alongside a Flash variant and a 9B distillation of Qwen3.5. It uses a sparse mixture-of-experts transformer with 1.02 trillion total parameters and roughly 42 billion activated per token, paired with a hybrid attention design that interleaves sliding-window and global attention layers to support a context window of about one million tokens. Dedicated encoders handle non-text inputs, including a vision encoder of roughly 681 million parameters and an audio tokenizer stack, so the model accepts text, images, video, and audio and returns text.
Post-training centers on large-scale reinforcement learning across thousands of interactive environments, combined with agentic grading, self-correction cold start, and a multi-prefix multi-teacher on-policy distillation stage that extends behavior to tasks that are hard to verify automatically. The resulting model targets long-horizon agentic work such as software engineering, terminal and computer-use operation, tool calling, cybersecurity analysis, and visual coding, and it reports gains over the prior MiMo generation on SWE-bench Verified, Terminal Bench, and internal visual coding and cyber benchmarks.
Frequently Asked Questions
Claude Haiku 4.5 has not yet been evaluated on Roboflow's current Vision Evals, so this comparison shows specs, licensing, and pricing rather than benchmark scores.
Claude Haiku 4.5 is released under Proprietary, while MiMo V2.6 Pro uses MIT. 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.