Kimi K2.5 vs Muse Spark Open
Muse Spark Open: 69.4% average across five Vision Evals tasks (#25 of 65 models). We have not run Kimi K2.5 through Roboflow's Vision Evals, so there is no head-to-head score. Run both on your own image below.
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Kimi K2.5 vs Muse Spark Open Comparison Table
Evals updated October 26, 2026Pricing updated November 4, 2026
| Property | Kimi K2.5 | Muse Spark Open |
|---|---|---|
| Organization | Moonshot AI | Meta |
| Category | open | open |
| Modality | multimodal | multimodal |
| Release Date | Jan 2026 | Oct 2026 |
| Context Window | 256K | 1.0M |
| Parameters | 1T | 816B total / 42B active |
| License | Modified MIT | Custom |
| Commercial use | See license terms | See license terms |
| Pricing per 1M tokens | ||
| Input $/1M | $0.500 | $1.25 |
| Output $/1M | $2.50 | $4.25 |
| Vision Tasks | ||
| Classification | Supported | Demo |
| Object Detection | Not listed | Demo |
| Model Features | ||
Both support 3 more features | ||
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort | ||
| Overall | Not evaluated | 69.4% |
| Avg cost / sample | – | $0.0059 |
| Avg speed / sample | – | 7.37s |
| By task | ||
| Object Detection (low) | – | 57.8% ±0.6, Mean of 3 runs, range 57.0 to 58.2 |
| Object Detection (high) | – | 60.9% ±0.8, Mean of 3 runs, range 60.3 to 61.9 |
| Counting (low) | – | 75.7% ±2.7, Mean of 3 runs, range 73.0 to 78.4 |
| Counting (high) | – | 75.2% ±4.1, Mean of 3 runs, range 71.6 to 79.7 |
| Identification (low) | – | 82.3% ±1.6, Mean of 3 runs, range 81.3 to 84.4 |
| Identification (high) | – | 80.2% ±3.1, Mean of 3 runs, range 78.1 to 84.4 |
| OCR (low) | – | 67.6% |
| by category |
| |
| OCR (high) | – | 68.6% |
| by category |
| |
| Reasoning (low) | – | 63.8% ±1.0, Mean of 3 runs, range 62.9 to 64.9 |
| Reasoning (high) | – | 65.1% ±3.0, Mean of 3 runs, range 62.3 to 68.2 |
Kimi K2.5 vs Muse Spark Open: Overview
Kimi K2.5 is a frontier-scale multimodal AI model developed by Moonshot AI and released on January 27, 2026. As a significant advancement within the Kimi K2 family, it utilizes a sparse Mixture-of-Experts (MoE) architecture with 1 trillion total parameters (32 billion active per inference) and a massive 256K-token context window. The model features native multimodal integration via a 400M-parameter MoonViT encoder, allowing it to process text, images, and video frames simultaneously. Built for both speed and depth, it offers "Instant" and "Thinking" modes, the latter of which excels at expert-level reasoning, scoring 50.2% on the Humanity’s Last Exam (HLE) benchmark when equipped with tools.
The model is released under a Modified MIT License, which remains open-weight but requires attribution for high-revenue commercial entities. It introduces an "Agent Swarm" paradigm capable of coordinating up to 100 specialized sub-agents for parallel workflows, significantly reducing latency in complex research tasks. For vision tasks, Kimi K2.5 demonstrates strong autonomous visual debugging capabilities, where it can inspect its own generated UI outputs against visual specifications to iteratively refine frontend code. This makes it a powerful choice for developers testing automated UI reconstruction, high-fidelity OCR document processing, and multi-step agentic research grounded in complex visual data.
Muse Spark Open is an open-weight multimodal model released by Meta on October 15, 2026. Its sparse mixture-of-experts architecture has 816 billion total parameters and activates 42 billion per token. It accepts text, images, audio and video, produces text, and supports a context window of 1,048,576 tokens. Meta provides BF16 and NVFP4 checkpoints for self-hosting, alongside access through hosted inference partners.
The model is designed for coding, tool use and multi-step reasoning over long tasks. Its visual inputs support workflows involving screenshots, documents and other image content. Vision Evals measures its text understanding, counting, identification, reasoning and object detection at Low and High effort. The published weights use the custom Muse Model License, with commercial use subject to its terms and the accompanying usage policy.