Release55d ago
Mistral AI Upgrades Codestral 2501 & Large 3: 256K Context Window with Accelerated FIM Completion
Mistral AI rolls out major API runtime optimizations for Codestral 2501 and Mistral Large 3. Featuring 256K context and specialized Fill-in-the-Middle (FIM) kernels, developers get sub-40ms time-to-first-token in IDE plugins at $0.30/$0.90 per 1M tokens.
Release6d ago
Mistral releases Timestral, its first time-series foundation models: four open-weight sizes from 5M to 209M, with the 209M ranked first on GIFT-Eval, TIME and fev-bench among zero-shot models per Mistral, and CPU-only inference
On October 15 Mistral released Timestral, its first family of time-series foundation models, in 5M, 28M, 123M and 209M sizes. Weights are on Hugging Face under a Modified MIT license and the inference code is Apache 2.0. The models produce multivariate probabilistic forecasts with 21 quantiles per step, accept past-only and known-future covariates, and take up to 32,768 steps of context. Mistral says the 209M model ranks first among pretrained zero-shot models on GIFT-Eval, TIME and fev-bench with about two-thirds the parameters of the previous best; on an 8-thread CPU, forecasting one day from three weeks of 15-minute data takes 10 ms with the 5M model and 140 ms with the 209M. These are Mistral's own figures; the technical report is still to come.
Release2d ago
Inception launches Mercury 3 diffusion LLM: 1,068 tokens/s and 1M context, beating GPT-6 Luna and Haiku 5.5 on several benchmarks per the vendor
On October 19 Inception released Mercury 3, which it calls the most capable diffusion LLM (dLLM) to date. Per the vendor, it is more than 40x the size of Mercury 1, outputs 1,068 tokens/s, expands context from 260K (Mercury 2.5) to 1M tokens, and beats GPT-6 Luna and Claude Haiku 5.5 (both medium) on GPQA Diamond, IFBench, SWE-Bench Atlas and more. List price is $0.20/M input and $0.70/M output, 50% off at launch. It is live on the Inception API, OpenRouter, Baseten and Vercel AI Gateway with an OpenAI-compatible API. All scores are vendor-reported and not yet independently reproduced.
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