coding-model

Meituan has released LongCat 2.0, a sparse mixture-of-experts language model with 48 billion active parameters out of 1.6 trillion total. The model features a 1,049,000 token context window and costs $0.30 per 1M input tokens and $1.20 per 1M output tokens.

Kwaipilot has released KAT-Coder-Air V2.5, a coding-specialized model with a 256K token context window. The model is priced at $0.15 per million input tokens and $0.60 per million output tokens, positioning it as a mid-tier coding assistant option.

Kwaipilot has released KAT-Coder-Pro V2.5, a coding-focused language model with a 256,000-token context window. The model is priced at $0.74 per million input tokens and $2.96 per million output tokens, available through OpenRouter.

Poolside has released Laguna M.1, a 225B total parameter Mixture-of-Experts model with 23B activated parameters per token, designed for agentic coding tasks. The model scores 74.6% on SWE-bench Verified and 63.1% on SWE-bench Multilingual, released under Apache 2.0 license.

Microsoft released seven AI models at Build 2026, headlined by MAI-Thinking-1, its first reasoning model with 35 billion parameters. The company claims the model matches Anthropic's Claude Opus 4.6 on SWE Bench Pro coding benchmarks and beats Sonnet 4.61 in blind tests.

Microsoft announced MAI-Thinking-1, its first advanced reasoning AI model, at Build 2026. The company claims it's a medium-sized model matching leading models on key software engineering benchmarks, trained from scratch without distillation from third-party models.

Poolside has released Laguna XS.2, a 33B total parameter Mixture-of-Experts model with 3B activated parameters per token, designed for agentic coding. The model features a 131,072-token context window, scores 68.2% on SWE-bench Verified, and is available under Apache 2.0 license with free API access.

Cursor released Composer 2, a code-specialized model priced at $0.50 per million input tokens and $2.50 per million output tokens—roughly 90% cheaper than Claude Opus 4.6 ($5.00/$25.00) and 60% cheaper than GPT-5.4 ($2.50/$15.00). The model scores 61.3 on Cursor's internal CursorBench, competitive with Claude Opus 4.6 (58.2) but below GPT-5.4 Thinking (63.9).