open-weight

Qwen has released Qwen3.8 27B, a 27-billion-parameter dense vision-language model with a 262K token context window, available now via OpenRouter at $0.45 per million input tokens and $3.20 per million output tokens.

NVIDIA released the full-precision BF16 reference weights for Nemotron 3.5 Lightning, a 30B-parameter Mixture-of-Experts model with only 3B active parameters and support for up to 1 million tokens of context. The model uses a hybrid Mamba-2, MoE, and Attention architecture and is licensed under OpenMDW-1.1 for commercial use.

Qwen has released Qwen3.8 2.4T A95B, an open-weight sparse mixture-of-experts model with 2.4 trillion total parameters and 95 billion active parameters per forward pass. The model is the open-weight variant of Qwen3.8 Max, targeting coding, research, complex reasoning, and agentic workflows with a 262K token context window.

Unsloth has released GGUF quantizations of Kimi K3, a 2.8-trillion-parameter open-weight Mixture-of-Experts model from Moonshot AI with a 1-million-token context window and native vision support. The largest lossless quantization (Q8) weighs in at 1.56TB.

Alibaba has released Qwen 3.8, a 2.4 trillion parameter open-weight model that the company claims trails only Fable 5. The multimodal model processes images, videos, and documents, with a preview available through Alibaba's platforms at 10 percent of standard pricing.

Moonshot AI released Kimi K3 on July 16, 2025, an open-weight model with 2.8 trillion parameters. The model represents the largest openly available model by parameter count, entering what the industry categorizes as the 3T class.

Black Forest Labs reports its FLUX.2 image generation models demonstrate more than 10 times fewer vulnerabilities for synthetic non-consensual intimate imagery (NCII) and child sexual abuse material (CSAM) compared to other leading open-weight models. The company claims targeted post-training mitigations reduced vulnerabilities by 77-98% before release, according to third-party red-teaming conducted by Cinder.

Chinese AI models from Tencent, Xiaomi, DeepSeek, MiniMax and Z.ai now occupy the top five positions by weekly token usage on OpenRouter, a major AI marketplace. The shift threatens to commoditize premium models from OpenAI and Anthropic as businesses reserve expensive frontier systems for only their hardest problems.

Moonshot AI's Kimi K3 model has matched or exceeded performance of Anthropic's Opus 4.8 and OpenAI's GPT-5.6 Sol in independent benchmarks while costing 40% less than comparable US models. The Beijing-based company plans to release Kimi K3 as an open-weight model on July 27.

Moonshot AI has released Kimi K3, an open-weight multimodal reasoning model with a 1-million token context window. The model is priced at $3 per 1M input tokens and $15 per 1M output tokens, available through OpenRouter.

Thinking Machines Lab released Inkling, a 975-billion-parameter mixture-of-experts model that uses 41 billion active parameters per task. The open-weight model was trained on 45 trillion tokens across text, image, audio, and video, marking the first public release from Mira Murati's AI startup.

Zhipu AI released its open-weight GLM-5.2 model, with researchers claiming it matches Anthropic's Mythos on certain bug-finding and cybersecurity tasks. The model lags behind Anthropic and OpenAI models on general benchmarks but represents a significant narrowing of capabilities between Chinese and US AI systems.

Ideogram has released Ideogram 4, its first open-weight text-to-image model with 9.3 billion parameters. The model supports native 2K resolution, structured JSON prompting with bounding-box layout controls, and is available in nf4 and fp8 quantizations under a non-commercial license.

Ideogram has released Ideogram 4, a 9.3B parameter open-weight text-to-image model trained from scratch. The model features structured JSON prompting, native 2K resolution output, and ranks as the top open-weight model on Design Arena. Available in fp8 and nf4 quantizations under a non-commercial license.

Chinese AI lab DeepSeek has released preview versions of DeepSeek V4 Flash and V4 Pro, mixture-of-experts models with 1 million token context windows. The V4 Pro has 1.6 trillion total parameters (49 billion active), making it the largest open-weight model available, while both models significantly undercut frontier model pricing.

Alibaba has released Qwen3.6-35B-A3B, the first open-weight model in the Qwen3.6 series. The model features 35B total parameters with 3B activated, a native 262K context window extensible to 1.01M tokens, and achieves 73.4% on SWE-bench Verified using 256 experts with 8 activated per token.

Zhipu AI has released GLM-5.1, a freely available open-weight model designed for long-running programming tasks that achieves 58.4% on SWE-Bench Pro, edging out GPT-5.4 (57.7%) and Claude Opus 4.6 (57.3%). The model's core capability is iterative strategy refinement—it rethinks its approach across hundreds of iterations and thousands of tool calls, recognizing dead ends and shifting tactics without human intervention. However, GLM-5.1 trails on reasoning and knowledge benchmarks, scoring 31% on Humanity's Last Exam compared to Gemini 3.1 Pro's 45%.

ByteDance has released Helios, a 14-billion-parameter open-weight video generation model that achieves 19.5 frames per second on a single GPU while generating minute-long video clips. The researchers claim this is the first model of its scale to reach near-real-time performance at this duration. Code and model weights are publicly available.

Alibaba has released Qwen3.5-35B-A3B, a 35-billion parameter multimodal model capable of processing images and text. The model is published under an Apache 2.0 license and available on Hugging Face with Transformers and SafeTensors format support.