Claude Opus 4.6 vs MiMo V2.6 Flash
Compare Claude Opus 4.6 and MiMo V2.6 Flash side-by-side. See how these vision models stack up in Open Prompt, OCR, Object Detection, Classification, and Image Captioning.
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Claude Opus 4.6 vs MiMo V2.6 Flash Comparison Table
Evals updated September 22, 2026Pricing updated September 23, 2026
| Property | Claude Opus 4.6 | MiMo V2.6 Flash |
|---|---|---|
| Organization | Anthropic | Xiaomi |
| Category | closed | open |
| Modality | multimodal | multimodal |
| Release Date | Feb 2026 | Sep 2026 |
| Context Window | 1.0M | 1.0M |
| Parameters | 309B total, 15B active | |
| License | Proprietary | MIT |
| Pricing per 1M tokens | ||
| Input $/1M | $5.00 | $0.140 |
| Output $/1M | $25.00 | $0.280 |
| 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 | 60.6% |
| Avg cost / sample | – | $0.0003 |
| Avg speed / sample | – | 9.20s |
| By task | ||
| Object Detection (low) | – | 37.8% ±1.1, Mean of 3 runs, range 36.4 to 38.7 |
| Object Detection (high) | – | 45.0% ±2.5, Mean of 3 runs, range 42.2 to 47.1 |
| Counting (low) | – | 49.5% ±8.1, Mean of 3 runs, range 41.9 to 58.1 |
| Counting (high) | – | 64.9% ±1.4, Mean of 3 runs, range 63.5 to 66.2 |
| Identification (low) | – | 76.0% ±3.1, Mean of 3 runs, range 71.9 to 78.1 |
| Identification (high) | – | 82.3% ±4.7, Mean of 3 runs, range 78.1 to 87.5 |
| OCR (low) | – | 87.0% ±0.5, Mean of 3 runs, range 86.6 to 87.7 |
| OCR (high) | – | 87.0% ±2.1, Mean of 3 runs, range 84.3 to 88.5 |
| Data Extraction (low) | – | 80.1% ±1.0, Mean of 3 runs, range 79.4 to 81.4 |
| Data Extraction (high) | – | 82.5% ±1.0, Mean of 3 runs, range 81.4 to 83.5 |
| Reasoning (low) | – | 33.1% ±2.0, Mean of 3 runs, range 31.1 to 35.1 |
| Reasoning (high) | – | 58.5% ±1.3, Mean of 3 runs, range 57.0 to 59.6 |
Claude Opus 4.6 vs MiMo V2.6 Flash: Overview
Claude Opus 4.6 is the flagship large language model from Anthropic, released on 2026-02-05 for advanced reasoning, complex coding, and enterprise agent workflows. It supports text and image inputs via API, offers a 200K-token standard context window with a 1M-token beta option, and enables outputs up to 128K tokens, with adaptive reasoning and context compaction for sustained tasks.
As of 2026-02-17, Anthropic also released Claude Sonnet 4.6, extending the 1M-token context window to a broader tier. Opus remains positioned for maximum depth and benchmark performance, while Sonnet 4.6 brings long-context capability to more cost- and latency-sensitive production use cases.
MiMo-V2.6-Flash is the efficiency-oriented checkpoint of Xiaomi's MiMo-V2.6 series, a natively omnimodal foundation model that accepts text, image, video, and audio in a single model and supports a one million token context window. The language backbone is a sparse mixture-of-experts transformer with roughly 309 billion total parameters and 15 billion activated per token, organized as 48 layers with 256 routed experts and top-8 routing. It uses a hybrid attention scheme that interleaves sliding window attention with global attention layers to cut key-value cache cost on long sequences, and pairs the backbone with a vision encoder, an audio encoder, and an audio tokenizer, plus a multi-token prediction module and a draft model for faster decoding.
Training emphasizes large scale reinforcement learning on verifiable, long-horizon tasks, with RL compute, environment diversity, and grader compute scaled together in a single mixed run. Xiaomi reports gains during RL on SWE-bench Verified, Terminal Bench, a cybersecurity benchmark, and an internal visual coding benchmark, reflecting a focus on agentic coding, computer use, and multimodal document and screen understanding rather than single turn chat.
Frequently Asked Questions
Claude Opus 4.6 has not yet been evaluated on Roboflow's current Vision Evals, so this comparison shows specs, licensing, and pricing rather than benchmark scores.
Claude Opus 4.6 is released under Proprietary, while MiMo V2.6 Flash 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 open prompts and OCR in the free Roboflow Playground. You can try it instantly, and a free account unlocks unlimited runs.