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COMPANY · ENTITY #2632

Mistral Small 4

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EVENT TIMELINE

3

MODELS · 1 SOURCE · Cohere

Cohere argues smaller, task‑optimized language models can outperform at lower cost

Cohere published a post promoting small language models (SLMs) for enterprise use, arguing they cut compute, data and energy needs while enabling local deployment and lower costs. The post highlights Cohere models — Command R7B, the Tiny Aya family (3.35B) and North Mini Code (30B MoE with 3B active) — and cites benchmark claims that North Mini Code and Tiny Aya outperform several larger competitors on coding and multilingual translation benchmarks respectively.

6.0

MODELS · 1 SOURCE · Mistral AI

Mistral releases Small 4: 119B MoE multimodal model with 256k context (Apache 2.0)

Mistral announced Mistral Small 4, a 119B-parameter hybrid Mixture-of-Experts model (128 experts, 4 active) that accepts text and image inputs, offers a 256k context window, and includes a configurable reasoning_effort parameter; it is released under the Apache 2.0 license. The company says Small 4 unifies capabilities from its Magistral, Pixtral, and Devstral lines, targets chat, coding/agentic, and complex-reasoning use cases, claims substantial latency and throughput gains versus Mistral Small 3, and is available across vLLM, llama.cpp, SGLang, Transformers and other runtimes.

9.0

MODELS · 1 SOURCE · Mistral AI

Mistral AI joins NVIDIA Nemotron Coalition to co-develop open Nemotron 4 models and releases Mistral Small 4

Mistral AI announced it is a founding member of the NVIDIA Nemotron Coalition and will co-develop open, frontier-level foundation models with NVIDIA—leveraging NVIDIA DGX Cloud, compute tools, and synthetic-data pipelines—while contributing Mistral’s training techniques and multimodal capabilities. The company also publicly released Mistral Small 4 to enable developers and researchers to build and specialize models locally.

8.0