MiniMax M1 (stylised MiniMax-M1) is an open-weight large language reasoning model released on 16 June 2025 by the Shanghai-based artificial-intelligence company MiniMax
GPT Image 2.6 is OpenAI's image-generation and editing model family, announced on November 4, 2026. The release appears in ChatGPT as ChatGPT Images 2.6 and in the OpenAI API as GPT-Image-2.6 Flare and GPT-Image-2.6 Sunburst.
Xiaomi AI is the artificial intelligence research, products, and strategy of Xiaomi Corporation, the Beijing-based consumer-electronics and electric-vehicle maker, spanning open-source large language models (the MiMo and MiLM families), the XiaoAI voice…
Robocurve (Robocurve, Inc., which styles itself Robocurve PBC) is a San Francisco public benefit corporation that evaluates how well frontier AI models and robot-control models perform on real robots, and publishes the results.
Ricursive Intelligence is an American artificial intelligence company based in Palo Alto, California, that develops AI systems for designing semiconductors.
A distillation attack (also called illicit distillation or adversarial distillation) is the use of a commercially deployed large language model's outputs, usually obtained at scale through its API and in breach of the provider's terms
NVIDIA Vera Rubin is NVIDIA's data center AI computing platform that succeeds the NVIDIA Blackwell architecture, pairing the custom Arm-based Vera CPU with the dual-die Rubin GPU into a single superchip built for agentic AI, large-scale inference, and…
AI Compute Tracker reviewed standard (non-batch) provider list prices in USD per 1M tokens, at the short-context or peak-hour tier. Cached input is shown only when recorded in that row; it is not inferred from a discount. Long-context, cache writes, batch, tools, media and other charges are not included.
Higher is better, not an IQ or percentage. Catalogue metadata does not disclose the index version, reasoning configuration, or evaluation date; checked time is retrieval time. Treat comparisons as indicative.
Benchmark version: not supplied. Test configuration: not supplied.
AI Compute Tracker reviewed standard (non-batch) provider list prices in USD per 1M tokens, at the short-context or peak-hour tier. Cached input is shown only when recorded in that row; it is not inferred from a discount. Long-context, cache writes, batch, tools, media and other charges are not included. Tracker row notes: ≤272K prompt tokens; above 272K $4/$15
Higher is better, not an IQ or percentage. Catalogue metadata does not disclose the index version, reasoning configuration, or evaluation date; checked time is retrieval time. Treat comparisons as indicative.
Benchmark version: not supplied. Test configuration: not supplied.
AI Compute Tracker reviewed standard (non-batch) provider list prices in USD per 1M tokens, at the short-context or peak-hour tier. Cached input is shown only when recorded in that row; it is not inferred from a discount. Long-context, cache writes, batch, tools, media and other charges are not included. Tracker row notes: Current price through Nov 30, 2026; $4/$20 from Dec 1, 2026; batch $2/$10 from Dec 1, 2026
Higher is better, not an IQ or percentage. Catalogue metadata does not disclose the index version, reasoning configuration, or evaluation date; checked time is retrieval time. Treat comparisons as indicative.
Benchmark version: not supplied. Test configuration: not supplied.
AI Compute Tracker reviewed standard (non-batch) provider list prices in USD per 1M tokens, at the short-context or peak-hour tier. Cached input is shown only when recorded in that row; it is not inferred from a discount. Long-context, cache writes, batch, tools, media and other charges are not included. Tracker row notes: Peak-hour cache-miss input; off-peak $0.15/$0.60; deepseek-flash alias
Example cost: 1,000 requests, each with 2,000 input and 500 output tokens, at the listed standard text rates. No caching, batch discount, long-context surcharge, tools, media or tax; not a capability or availability check. Adjust this workload in the cost planner (choose a model there).
