| DeepSeek V3.1 | deepseek-ai/DeepSeek-V3.1 | Text | 161k | 37B-671B (Active-Total) | A large hybrid model that supports both thinking and non-thinking modes via prompt templates. |
| Google Gemma 4 31B | google/gemma-4-31B-it | Text, Vision | 262k | 31B (Total) | Gemma 4 31B Dense is designed for advanced reasoning, agentic workflows, and longer context and is natively trained on 140+ languages. |
| Meta Llama 3.3 70B | meta-llama/Llama-3.3-70B-Instruct | Text | 128k | 70B (Total) | Multilingual model excelling in conversational tasks, detailed instruction-following, and coding. |
| Meta Llama 3.1 70B | meta-llama/Llama-3.1-70B-Instruct | Text | 128k | 70B (Total) | Efficient conversational model optimized for responsive multilingual chatbot interactions. |
| Meta Llama 3.1 8B | meta-llama/Llama-3.1-8B-Instruct | Text | 128k | 8B (Total) | Efficient conversational model optimized for responsive multilingual chatbot interactions. |
| Microsoft Phi 4 Mini 3.8B | microsoft/Phi-4-mini-instruct | Text | 128k | 3.8B (Total) | Compact, efficient model ideal for fast responses in resource-constrained environments. |
| MiniMax M2.5 | MiniMaxAI/MiniMax-M2.5 | Text | 197k | 10B-230B (Active-Total) | MoE model with a highly sparse architecture designed for high-throughput and low latency with strong coding capabilities. |
| Moonshot AI Kimi K2.5 | moonshotai/Kimi-K2.5 | Text, Vision | 262k | 32B-1T (Active-Total) | Kimi K2.5 is a multimodal Mixture-of-Experts language model featuring 32 billion activated parameters and a total of 1 trillion parameters. |
| NVIDIA Nemotron 3 Super 120B | nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8 | Text | 262k | 12B-120B (Active-Total) | Nemotron 3 is a LatentMoE model designed to deliver strong agentic, reasoning, and conversational capabilities. |
| OpenAI GPT OSS 120B | openai/gpt-oss-120b | Text | 131k | 5.1B-117B (Active-Total) | Efficient Mixture-of-Experts model designed for high-reasoning, agentic and general-purpose use cases. |
| OpenAI GPT OSS 20B | openai/gpt-oss-20b | Text | 131k | 3.6B-20B (Active-Total) | Lower latency Mixture-of-Experts model trained on OpenAI’s Harmony response format with reasoning capabilities. |
| OpenPipe Qwen3 14B Instruct | OpenPipe/Qwen3-14B-Instruct | Text | 32.8k | 14.8B (Total) | An efficient multilingual, dense, instruction-tuned model, optimized by OpenPipe for building agents with finetuning. |
| Qwen3 235B A22B Thinking-2507 | Qwen/Qwen3-235B-A22B-Thinking-2507 | Text | 262k | 22B-235B (Active-Total) | High-performance Mixture-of-Experts model optimized for structured reasoning, math, and long-form generation. |
| Qwen3 235B A22B-2507 | Qwen/Qwen3-235B-A22B-Instruct-2507 | Text | 262k | 22B-235B (Active-Total) | Efficient multilingual, Mixture-of-Experts, instruction-tuned model, optimized for logical reasoning. |
| Qwen3 30B A3B | Qwen/Qwen3-30B-A3B-Instruct-2507 | Text | 262k | 3.3B-30.5B (Active-Total) | Qwen3-30B-A3B-Instruct-2507 is a 30.5B MoE instruction-tuned model with enhanced reasoning, coding, and long-context understanding. |
| Qwen3 Coder 480B A35B | Qwen/Qwen3-Coder-480B-A35B-Instruct | Text | 262k | 35B-480B (Active-Total) | Mixture-of-Experts model optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning. |
| Qwen3.5 35B A3B | Qwen/Qwen3.5-35B-A3B | Text, Vision | 262k | 3B-35B (Active-Total) | Qwen3.5-35B-A3B is an open-weights multimodal MoE model built for efficient, high-throughput inference across chat, reasoning, and agentic tasks. |
| Z.AI GLM 5 | zai-org/GLM-5-FP8 | Text | 200k | 40B-744B (Active-Total) | Mixture-of-Experts model for long-horizon agentic tasks with strong performance on reasoning and coding. |
| Meta Llama 4 Scout (deprecated) | meta-llama/Llama-4-Scout-17B-16E-Instruct | Text, Vision | 64k | 17B-109B (Active-Total) | Multimodal model integrating text and image understanding, ideal for visual tasks and combined analysis. |
