coding models

Moonshot AI's Kimi K3 model has claimed first place in the Code Arena frontend benchmark with a score of 1,679, surpassing Claude Fable 5 (1,631) and GPT-5.6 Sol (1,618). However, the model achieves only 39% accuracy on FrontierMath Tier 4, while top Western models from OpenAI and Anthropic reach near 90% on the same expert-level math tasks.

Beijing-based Moonshot AI released its Kimi K3 model Friday, which topped Arena's front-end coding capability rankings. The model is priced at half the cost of OpenAI's GPT-5.6 Sol, according to Bank of America research analysts, marking what Arena CEO calls "the single biggest release of the year."

OpenAI released GPT-5.6 in three variants: Sol ($5 input/$30 output per 1M tokens), Terra ($2.50/$15), and Luna ($1/$6). According to OpenAI, Sol achieves an 80-point score on the Artificial Analysis Coding Agent Index, 2.8 points above Anthropic's Fable 5, while using less than half the output tokens and costing one-third less.

Meta publicly released Muse Spark 1.1, a multimodal AI model designed for agentic coding workflows. The model is priced at $1.25 per million input tokens and $4.25 per million output tokens, positioning it slightly above Anthropic's Claude Haiku 4.5 and OpenAI's GPT-5.6 Luna.

Elon Musk's SpaceXAI has released Grok 4.5, priced at $2 per million input tokens and $6 per million output tokens. The model, trained alongside recently-acquired Cursor, is positioned as a coding and enterprise tool that claims to outperform Claude Opus 4.8 on several benchmarks while undercutting it on price by 60-76%.

xAI has released Grok Build 0.1, a coding-specialized model with a 256K context window and unlimited text output. The model is designed for agentic software engineering workflows and powers xAI's Grok Build CLI tool.

DeepSeek has released V4 Pro, a Mixture-of-Experts model with 1.6 trillion total parameters and 49 billion activated parameters. The model supports a 1-million-token context window and costs $1.74 per million input tokens and $3.48 per million output tokens.

Moonshot AI has released Kimi K2.6, an open-source multimodal model with 1 trillion total parameters (32B activated) and 256K context window. The model achieves 80.2% on SWE-Bench Verified, 58.6% on SWE-Bench Pro, and supports horizontal scaling to 300 sub-agents executing 4,000 coordinated steps.