Qwen

DeepSeek's cost-efficient V4.1 tier and the first model built on the Causal Encoder-Decoder (CED) architecture: a 552B MoE activating 8B parameters on input and 16B on output.

Alibaba's updated Qwen3.8 Max flagship snapshot, post-trained for coding and agentic work.

Alibaba's fast multimodal Qwen3.8 model for high-volume agentic work.

Z.ai's large-scale reasoning flagship for complex software engineering and long-horizon agent tasks.

Open-weight dense 27B vision-language model from Qwen for long-running agent tasks.

The open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total.

The GA release of DeepSeek's open 1.6T-parameter MoE flagship for advanced reasoning and long-horizon agents.

The GA release of DeepSeek's efficiency-optimized V4 Flash, re-post-trained for coding, reasoning, and agent workflows.

Alibaba's ultra-affordable vision-language model for multimodal agents and visual coding.

MoonshotAI's 2.8T-parameter flagship for complex coding, knowledge work, and long-horizon agent runs.

Z.ai's frontier reasoning model for long-context agents and software engineering.

MoonshotAI's coding-focused Kimi model for end-to-end software engineering.

Alibaba's cost-efficient Qwen3.7 model for long-context multimodal work.

Alibaba's flagship Qwen3.7 model, built for agent-centric workloads.

Open-source 1.6T-parameter MoE with 49B active, built for advanced reasoning and long-horizon agents.

Efficiency-optimized DeepSeek V4 at 284B total / 13B active for fast, high-throughput inference.

Zhipu AI's most capable model with a major leap in coding and long-horizon task performance.

Qwen's latest hybrid model combining linear attention with sparse MoE routing.

Compact 9B vision-language model from the Qwen3.5 family.

Efficient vision-language MoE with linear attention and 3B active parameters.

Dense 27B vision-language model with linear attention for fast response times.

Qwen's second-strongest model — text capabilities exceeding Qwen3 235B, vision surpassing Qwen3 VL 235B.

Ultra-fast Qwen3.5 variant with 1M-token context at rock-bottom pricing.

Qwen3.5 Plus variant from February 2025 — optimized for balanced performance.

Qwen's largest MoE model with 397B total parameters, 17B active.

Efficient coding agent with 80B parameters, only 3B active per token.

Open-source model with GPT-5 class reasoning performance.

Efficient 30B MoE vision-language model with 3B active parameters.

Qwen's largest vision-language model with 235B MoE architecture.

Fast variant of Qwen3 Coder for speed-prioritized coding tasks.

Next-generation 80B MoE model with always-on reasoning mode.

Efficient 30B MoE coding model with only 3B active parameters.

Qwen's primary code generation model for software development workflows.

July 2025 update to Qwen3 235B A22B with improved capabilities.

Efficient 30B MoE language model with 3B active parameters per token.

Mid-size dense Qwen3 model balancing capability and efficiency.

Dense 32.8B parameter model optimized for reasoning and dialogue.

Large 72B vision-language model from Qwen 2.5 generation.

Qwen's mid-tier commercial model for balanced performance.

Second-generation Qwen coding model at 32B scale.

Compact 7B model from Qwen 2.5 for efficient deployment.

Large 72B model from the Qwen 2.5 generation.

Flagship reasoning model for complex multi-step tasks.

Enhanced coding model with superior performance on complex engineering tasks.

Qwen's flagship 235B MoE model with 22B active parameters.

32B dense vision-language model for high-quality multimodal tasks.

Compact vision-language model with always-on reasoning for visual tasks.

July 2025 Qwen3 30B MoE model with always-on extended thinking.

Compact Qwen3 model for fast, efficient inference.

Qwen's dedicated reasoning model at 32B scale.

Qwen Plus with always-on extended thinking for July 2025.

Qwen's top commercial model for the most demanding tasks.

Fast and cost-efficient Qwen model for high-throughput applications.

32B vision-language model from Qwen 2.5 with strong visual understanding.

Compact 7B code generation model from Qwen 2.5.

Earlier Qwen vision-language model with multimodal capabilities.

Top-tier earlier Qwen vision-language model.

Compact 7B vision-language model from Qwen 2.5.