long context

MiniMax has released M3, a multimodal foundation model supporting text, image, and video inputs with a 1-million-token context window. The model costs $0.30 per million input tokens and $1.20 per million output tokens, available through OpenRouter.

Arcee AI has released Trinity Large Thinking, an open source reasoning model with a 262,144-token context window. The model is available free via OpenRouter and claims strong performance in PinchBench, agentic workloads, and reasoning tasks.

xAI has released Grok 4.3, a reasoning model with a 1 million token context window and no output token limit. The model accepts text and image inputs, has always-on reasoning that cannot be disabled, and uses tiered pricing starting at $1.25 per million input tokens and $2.50 per million output tokens.

OpenRouter has released Owl Alpha, a foundation model specifically designed for agentic workloads with native tool use support and a 1,048,756 token context window. The model is currently free for both input and output tokens and is compatible with Claude Code, OpenClaw, and other productivity tools.

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.

DeepSeek has released V4 Flash, a Mixture-of-Experts model with 284B total parameters and 13B activated parameters per request. The model supports a 1,048,576-token context window and is priced at $0.14 per million input tokens and $0.28 per million output tokens.

Tencent has released Hy3 Preview, a Mixture-of-Experts model offering 262,144 token context window and three configurable reasoning modes (disabled, low, high) for production agentic workflows. The model is available for free through OpenRouter.

Alibaba has released Qwen3.6-27B, a 27-billion parameter language model with a native 262,144 token context window (extensible to 1,010,000 tokens). The model achieves 53.5% on SWE-bench Pro and 77.2% on SWE-bench Verified, with FP8 quantization providing near-identical performance to the full-precision version.

Arcee AI has released Trinity Large Preview, a 400B-parameter sparse Mixture-of-Experts model with 13B active parameters per token using 4-of-256 expert routing. The model supports context windows up to 512K tokens and is available with open weights under permissive licensing.