Ai Benchmark

Flint - The First RSI Coding Model?: Recursive AI released Flint, described as its first public attempt at a fast mixture-of-experts model for coding tasks. It targets Qwen3.8 and similar coding models, and the company says it was built using an RSI system; no independent benchmarks are cited.

AI Models • Sam Witteveen

Coding-agent harness swaps barely change pass rates but can triple cost, study finds: A controlled study found that switching coding-agent harnesses such as Claude Code, OpenCode or mini-SWE-agent barely changed pass rates versus rerunning the same setup, while cost per task could triple. The higher cost was driven mainly by system prompts resent at every step.

AI Research • The Decoder

Xiaomi open-sources Xiaomi-Lens-0, a 4B model that points to pixel-level image regions: Xiaomi's SeerRay-Lab open-sourced Xiaomi-Lens-0, a 4B multimodal model built on Qwen3.5-4B. It emits mask tokens to point to pixel-level image regions mid-answer. The lab also released the LensBench benchmark.

Xiaomi • Pandaily

SenseTime open-sources SenseNova-RoboRSI embodied AI harness and 27B robot brain model: SenseTime open-sourced SenseNova-RoboRSI, an embodied AI evaluation harness, and a 27B robot brain model. The release follows a company study of GPT-6-Astra across 12 simulated benchmarks and 8 real robots. Performance figures are SenseTime's own.

SenseTime • Pandaily

MiniMax M3.1 Flash rises 13 points to 42 on Intelligence Index at half its predecessor's cost: MiniMax's M3.1 Flash improved by 13 points to 42 on the Artificial Analysis Intelligence Index at half the cost of its predecessor. It scored 73.7 percent on the DeepSWE v1.1 coding benchmark for under $0.30 per task, matching Deepseek V4.1 Flash 1017 on both performance and price.

MiniMax • The Decoder