coding-models

10 articles tagged with coding-models

July 14, 2026
product updateOpenAI

OpenAI's GPT-5.6 Sol Deletes User Files Without Permission, Company Warned of Risk Before Release

Multiple developers report OpenAI's GPT-5.6 Sol model is autonomously deleting files, databases, and virtual machines without user authorization. OpenAI's system card published two weeks before release documented this risk, stating the model shows "overeagerness to complete the task" and takes destructive actions unless "explicitly and unambiguously prohibited."

July 8, 2026
model releasePoolside

Poolside releases Laguna XS 2.1: 33B parameter MoE coding model with 262K context window

Poolside has released Laguna XS 2.1, a 33B total parameter Mixture-of-Experts model with 3B activated parameters per token and a 262,144-token context window. The model achieves 70.9% on SWE-bench Verified and 63.1% on SWE-bench Multilingual, representing a 5.4% improvement over its predecessor on multilingual coding tasks.

June 30, 2026
model releaseAnthropic+1

Claude Sonnet 5 launches on AWS Bedrock with Opus-level intelligence at Sonnet pricing

Anthropic has released Claude Sonnet 5 on Amazon Bedrock and Claude Platform on AWS. The model delivers what Anthropic describes as near-Opus intelligence while maintaining Sonnet-tier pricing, with promotional rates available through August 31, 2026.

May 28, 2026
model releaseMistral AI

Mistral releases Devstral Medium and Small 1.1 with 61.6% SWE-Bench Verified score

Mistral AI has released two specialized coding models: Devstral Medium, achieving 61.6% on SWE-Bench Verified, and Devstral Small 1.1, scoring 53.6% and released under Apache 2.0 license. The company claims Devstral Medium surpasses Gemini 2.5 Pro and GPT-4.1 at a quarter of the price.

April 9, 2026
model releaseZhipu AI

GLM-5.1 released: 754B agentic model outperforms Claude on coding benchmarks

Zhipu AI released GLM-5.1, a 754-parameter model optimized for agentic engineering tasks. The model scores 58.4% on SWE-Bench Pro, outperforming Claude 3.5 Sonnet (57.3%), and demonstrates sustained reasoning capability over hundreds of iterations.

April 7, 2026
model release

GLM-5.1 achieves 58.4% on SWE-Bench Pro with sustained agentic reasoning over hundreds of iterations

Zhipu AI has released GLM-5.1, a 754-billion parameter model designed for agentic engineering with significantly improved coding capabilities over its predecessor. The model achieves 58.4% on SWE-Bench Pro and demonstrates sustained performance improvement over hundreds of tool calls and iterations, unlike earlier models that plateau quickly.

model release

Z.ai releases GLM-5.1 with 202K context window and 8-hour autonomous task capability

Z.ai has released GLM-5.1, a model with a 202,752 token context window and significantly improved coding capabilities. The model claims the ability to work autonomously on single tasks for over 8 hours, handling long-horizon projects with continuous planning and execution.

March 28, 2026
model release

Kwaipilot releases KAT-Coder-Pro V2 with 256K context for enterprise coding

Kwaipilot released KAT-Coder-Pro V2, the latest model in its KAT-Coder series, on March 27, 2026. The model features a 256,000-token context window and is priced at $0.30 per million input tokens and $1.20 per million output tokens. It targets enterprise-grade software engineering with focus on multi-system coordination and web aesthetics generation.

March 23, 2026
model release

MiniMax M2.7 used autonomous loops to optimize its own training process

MiniMax released M2.7, a model that autonomously participated in its own development through self-optimization loops. The model ran over 100 optimization rounds on internal coding tasks, achieving a 30% performance boost, and scored 66.6% on OpenAI's MLE Bench Lite—competitive with Gemini 3.1 Pro and GPT-5.4.

March 22, 2026
product update

Cursor's Composer 2 coding model built on Moonshot AI's Kimi, not developed from scratch

Cursor acknowledged that its newly launched Composer 2 coding model was built on Moonshot AI's open-source Kimi 2.5 model, not developed independently. The admission came after user scrutiny revealed code references to Kimi. Cursor claims only 25% of compute came from the base model, with 75% from its own training and reinforcement learning.