Observed Signal · May 29, 2026 · Earnings Report · Source: Hello China Tech · Impact: 4/5 · Sentiment: Neutral
Xiaomi Uses IoT Margins to Fund AI Push
Xiaomi cut prices for its MiMo large language model API after a technical optimization reduced caching costs: a hierarchical KV cache increased cached token capacity fivefold and lowered caching costs by about 80 percent, enabling headline reductions of up to 99% for cache‑hit input tokens and broader input/output cuts of 60–80%. MiMo distributed 100 trillion free tokens to developers and briefly topped OpenRouter’s Hermes agent rankings before falling to 16th. The pricing move aligns MiMo with DeepSeek’s floor. Xiaomi’s Q1 2026 results provide financial context: revenue declined 10.9% year‑on‑year to RMB 99.1 billion and adjusted net profit fell 43.1% to RMB 6.1 billion; the electric-vehicle and AI segment posted a RMB 3.1 billion operating loss in Q1. Smartphone shipments, IoT revenue and EV deliveries showed mixed dynamics as management prioritized margin structure over headline growth.
Xiaomi is a major hardware and platform company; its Q1 2026 earnings and strategic LLM pricing decisions (large MiMo price cuts enabled by caching optimizations) influence AI pricing dynamics, competitive positioning, and how hardware/IoT margins subsidize AI investment—relevant to industry strategy and economics.
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Key Takeaways & Evidence Grounding
- Xiaomi reduced MiMo API prices — up to 99% for cache‑hit input tokens and 60–80% for broader input/output pricing.
- Fuli Luo (head of Xiaomi’s MiMo LLM team) said a hierarchical KV cache increased cached token capacity fivefold and cut caching costs by ~80%.
- MiMo distributed 100 trillion free tokens to developers and briefly led OpenRouter’s Hermes agent model rankings before dropping to 16th.
- Xiaomi Q1 2026 revenue fell 10.9% year‑on‑year to RMB 99.1 billion; adjusted net profit dropped 43.1% to RMB 6.1 billion.
- IoT revenue fell 23.7% year‑on‑year to RMB 24.7 billion; smartphone shipments fell 19.2% to 33.8 million units; Q1 EV deliveries were 80,856 units.
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Xiaomi MiMo-V2.6-Pro tops open-weight AI models
Chinese electronics giant Xiaomi released its MiMo-V2.6 series of open-weight AI models under the MIT license on Hugging Face. The flagship MiMo-V2.6-Pro scored 46 points on the Artificial Analysis Intelligence Index, making it the highest-ranked open-weight model globally, surpassing GLM-5.3 and Kimi K3. It trails only proprietary models like Claude and GPT-6, ranking sixth overall. The model features a sparse mixture-of-experts architecture with 1.02 trillion total parameters (42 billion active), supports text, image, speech, and video input, and offers a one-million-token context window. Xiaomi trained the models using scaled reinforcement learning, live-streaming the production run and releasing weights, technical reports, and training code. The series also includes MiMo-V2.6-Flash and a faster UltraSpeed variant. API pricing remains unchanged from the previous generation.
Xiaomi Q2 2026: Up Quarter, Down Year-on-Year
Xiaomi reported an operational recovery in Q2 2026 versus the weak first quarter but remained below year-ago revenue and profit levels. Revenue was 108.9 billion yuan (~€12.9bn), up 9.9% quarter-on-quarter but down 6.1% year-on-year. Operating profit fell 19.1% year-on-year to 10.9 billion yuan and net profit declined 20.3% to 9.5 billion yuan; adjusted net profit of 6.2 billion yuan improved 2.4% versus the prior quarter. The company saw strong growth in its electric vehicle business (23.9 billion yuan revenue; 104,199 deliveries, +28.2% YoY) while smartphone and AIoT revenue remained under pressure. IoT connections, internet services MAUs and R&D spending increased, and operating cash flow turned positive. Xiaomi is investing in AI, robotics and its HyperOS platform as it seeks to diversify beyond smartphones.
Anthropic Blocks Third‑Party Routing, Exposes AI‑coding Economics
On April 4, 2026 Anthropic disabled routing of third‑party tools through Claude Pro/Max subscriptions, requiring non‑Anthropic harnesses to use standard API billing. The company said subscriptions were not designed for high‑token agent usage and it must prioritise customers using its products and API. The change broke several popular agent tools (Cline, Cursor, Windsurf, OpenClaw) while official Claude surfaces (Claude Code CLI/VS Code extension, Claude.ai, Cowork, Dispatch) continue to work. The newsletter author measured 440 Claude Code sessions (18,000 turns) that he estimated would cost $1,588 in API‑equivalent tokens versus $200/month for a Max subscription — a ~15–30x subscription price advantage for heavy interactive coding. The piece outlines API alternatives (OpenRouter, GLM‑5.1, GLM‑5, MiniMax), critiques microbenchmarks (Agentic Index vs SWE‑Bench), and publishes an open‑source local dashboard to expose per‑session token usage missing from Anthropic’s /usage reports.
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