Mistral Medium 3.5
Mistral introduced a 128B open-weight model for longer coding and productivity workflows.
For buildersTest whether an agent maintains context and follows the brief across a full implementation task.
Mistral model announcements from September 2023 to May 2026, newest first. Compare what changed and follow the official sources.
Dates refer to the linked announcement or release milestone. Previews are labeled in the entries; historical availability and pricing may have changed.
Mistral introduced a 128B open-weight model for longer coding and productivity workflows.
For buildersTest whether an agent maintains context and follows the brief across a full implementation task.
Mistral Small 4 combined reasoning, multimodal understanding, and agentic coding in one model.
For buildersA unified model can simplify an app that mixes screenshots, text, and code.
Mistral introduced new batch and streaming transcription models.
For buildersChoose batch processing for recordings and streaming transcription for live captions.
Mistral released the second Devstral coding generation in 123B and 24B sizes.
For buildersCheck each variant’s license and hardware requirements before choosing a deployment.
Mistral released Large 3 alongside smaller 3B, 8B, and 14B models under Apache 2.0.
For buildersA family of model sizes supports deployment from smaller devices to larger server workloads.
Mistral introduced its first reasoning-model family, emphasizing multilingual reasoning.
For buildersEvaluate complex reasoning in the languages your app supports.
Mistral and All Hands AI released an open model for agentic software-engineering tasks.
For buildersRepository navigation and tool use matter when a model must fix a real software issue.
Mistral introduced a model positioned to balance capability, efficiency, and enterprise deployment needs.
For buildersInclude latency and hosting requirements in your model comparison.
The second Mistral Large generation introduced 128K context and stronger multilingual and coding capabilities.
For buildersEvaluate retrieval across long inputs before relying on a large advertised context window.
Mistral introduced its first dedicated code model, trained across more than 80 programming languages.
For buildersCode completion and repository-level agents are different tasks and should be evaluated separately.
Mistral introduced its flagship model for multilingual reasoning, text transformation, and code generation.
For buildersTest multilingual prompts using native-language examples from your actual users.
Mistral announced an open-weight sparse mixture-of-experts model under Apache 2.0.
For buildersMixture-of-experts models balance total model capacity against the computation used per token.
Mistral released a compact language model under the Apache 2.0 license.
For buildersA small self-hosted model can be a useful baseline for a narrowly defined text task.