Entity trail

Devstral 2

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Sources

Corpus findings

2026-06-25 / thought-leaders-researcherMistral Ships Medium 3.5 (77.6% SWE-Bench Verified), Makes It the Default in Le Chat, and Adds Enterprise ConnectorsOn June 24 Mistral updated Le Chat with Medium 3.5, which it reports scores 77.6% on SWE-Bench Verified — ahead of Devstral 2 — and set it as the default model, alongside new enterprise Connectors featuring scoped API keys, enriched admin controls, and multi-account support. The combination signals Mistral pushing harder into agentic coding and secure enterprise integration. For builders, a European, open-leaning option clearing roughly 78% on SWE-Bench is a credible alternative to US frontier coding models.
2026-06-10 / rss-researcherCohere Open-Sources North Mini Code: A 30B MoE Coding Model That Runs on a Single H100Cohere launched North Mini Code, its first developer-focused model, on June 9 under Apache 2.0 — a 30B-parameter mixture-of-experts with only ~3B active params that runs on a single H100. It scores 33.4 on the Artificial Analysis Coding Index and competes on SWE-Bench Verified, SWE-Bench Pro, and Terminal-Bench 2.0, claiming up to 2.8x higher throughput and ~30% lower inter-token latency than Devstral Small 2, and reportedly beating open models up to 4x its size. A genuinely deployable local-coding option for builders who want agentic coding without frontier-scale infrastructure.
2026-06-06 / sources-researcherMistral Medium 3.5 Becomes Le Chat Default and Powers Unified 'Vibe' Agent for Work and CodeMistral's Medium 3.5 scores 77.6% on SWE-Bench Verified with strong agentic capability (91.4 on τ³-Telecom) and is now the default in Le Chat, replacing Devstral 2 in the Vibe CLI coding agent. Mistral also launched Vibe as a single AI agent spanning work and code under a new unified license that carries over every conversation, setting, and plan. Companion model Mistral Small 4 (reasoning) matches or beats GPT-OSS 120B on AA LCR and LiveCodeBench while generating ~20% less output — notable for cost-sensitive local/agentic deployments.
2026-06-02 / vibe-coding-researcherMistral Vibe CLI: Apache 2.0 Open-Source Terminal Coding Agent Powered by DevstralAlongside Devstral 2, Mistral shipped Vibe CLI — an open-source (Apache 2.0) command-line coding assistant that explores, modifies, and executes changes across codebases using natural language. It provides project-aware context scanning, multi-file orchestration, and version control integration. Available as a Zed IDE extension via Agent Communication Protocol, making it the first open-source terminal agent from a major model provider.
2026-06-02 / vibe-coding-researcherDevstral 2: Open-Source 123B Coding Model Hits 72.2% SWE-bench at 1/7th Sonnet's CostMistral released Devstral 2 (123B, modified MIT) scoring 72.2% on SWE-bench Verified and Devstral Small 2 (24B, Apache 2.0) scoring 68.0% — both with 256K context. Devstral 2 claims 7x cost efficiency over Claude Sonnet at $0.40/$2.00 per million tokens (currently free via API). Devstral Small 2 at $0.10/$0.30 runs on consumer hardware, making it the most capable locally-deployable coding model available.
2026-04-29 / vibe-coding-researcherPattern: Open-Weight Coding Models Converge on SWE-bench as Universal Legibility BenchmarkPoolside Laguna (68.2% / 72.5% SWE-bench Verified), NVIDIA Nemotron 3 Nano Omni (agent benchmarks), and the existing Devstral 2 / Qwen Coder families all lead with SWE-bench scores as their primary credibility signal. SWE-bench Verified has become the lingua franca — every new coding model launch now includes it, and secondary benchmarks (SWE-bench Pro, Multilingual, Terminal-Bench) are emerging as differentiation layers. For builders evaluating models, this standardization makes comparison tractable but also incentivizes teaching-to-the-test.
2026-04-29 / reddit-researcherMistral Teases 'Vibe' Announcement for April 30 — Model or Tool Upgrade UnknownMistral's @mistralvibe account posted a teaser on April 28 indicating something drops tomorrow (April 30). Community speculation on r/LocalLLaMA (445 upvotes, 87 comments) split between a new model release and a Vibe CLI tool upgrade. Mistral previously shipped Devstral 2 and Vibe 2.0 — their terminal-based coding agent competing with GitHub Copilot. Context: Mistral shipped 6 products in 15 days in March 2026.
2026-03-22 / news-researcherMistral Releases Small 4: 119B MoE That Unifies Instruct, Reasoning, Vision, and Coding in One ModelMistral AI released Mistral Small 4 on March 16 — a 119B-parameter Mixture-of-Experts model with only 6B active parameters per token and a 256k context window that consolidates Mistral Small, Magistral (reasoning), Pixtral (vision), and Devstral (agentic coding) into a single deployment target. Benchmarks show 40% faster end-to-end completion and 3x higher throughput than Small 3. Released under Apache 2.0, it runs on vLLM and is available on Hugging Face, making it the most capable open-weight model that requires no model switching across multimodal and agentic workflows.
2026-03-18 / hn-researcherShow HN: Duplicate 3 Layers in Devstral-24B — Logical Deduction .22→.76, No TrainingDeveloper replicated David Ng's RYS (Run Your Subgraph) method and found that duplicating layers 12-14 in Devstral-Small-2-24B routes hidden states through the reasoning circuit twice, boosting BBH Logical Deduction from 0.22 to 0.76 (+245%) and GSM8K from 0.48 to 0.64 — with zero training and no weight changes. The same approach applied to Qwen2.5-Coder-32B (layers 7-9) improved reasoning probes by 23%. Discovered on two AMD consumer GPUs in one evening; includes a toolkit for finding circuit boundaries in any transformer model.
2026-02-28 / vibe-coding-researcherMistral 3 Family Plus Devstral 2 and Vibe CLIMistral Large 3 675B MoE 41B active Apache 2.0. Devstral 2 123B coding-specific 256K context. Mistral Vibe CLI is an open-source terminal coding agent with Zed IDE integration.

Graph relationships

RELEASED
Mistral
Mistral released Devstral 2, a 123B coding-specific model.
Source finding
BENCHMARKED AGAINST
SWE-bench Verified
Devstral 2 scored 72.2% on SWE-bench Verified benchmark.
Source finding
RELEASED
Mistral
Mistral released Devstral 2 123B coding model scoring 72.2% on SWE-bench Verified.
Source finding
USES
Vibe CLI
Vibe CLI is powered by Devstral 2 model.
Source finding
BENCHMARKED AGAINST
Medium 3.5
Medium 3.5 scores ahead of Devstral 2 on SWE-Bench Verified.

Source trail

Mistral (via Releasebot)Hugging Face Blog GitHub Mistral AI Poolside AI r/LocalLLaMA Mistral AI GitHub

Graph sources

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