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“design”
Showing 1–24 of 29 for “design”
- 0.681score
DeepSeek V3.2
DeepSeek
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance.
ModelAFreshness: A$0.28 / $0.42164K ctxOpen weights - 0.587score
Qwen3.5-9B
Qwen (Alibaba)
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient…
ModelAFreshness: A$0.17 / $0.25262K ctxOpen weights - 0.681score
GLM 5
Z.ai
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows.
ModelAFreshness: A$1 / $3.2205K ctxOpen weights - 0.681score
MiniMax M2.5
MiniMax
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity.
ModelAFreshness: A$0.3 / $1.2205K ctxOpen weights - 0.681score
MiniMax M2.7
MiniMax
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.
ModelAFreshness: A$0.3 / $1.2205K ctxOpen weights - 0.681score
Qwen3 14B
Qwen (Alibaba)
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue.
ModelAFreshness: A$0.12 / $0.2441K ctxOpen weights - 0.681score
Qwen3 Coder 30B A3B Instruct
Qwen (Alibaba)
Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code…
ModelAFreshness: A$0.07 / $0.28262K ctxOpen weights - 0.629score
gpt-oss-120b
OpenAI
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose…
ModelAFreshness: A$0.15 / $0.6131K ctxOpen weights - 0.592score
Hy3 preview
Tencent
Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use.
ModelAFreshness: A$0.18 / $0.6262K ctxOpen weights - 0.587score
GLM 4.6V
Z.ai
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media.
ModelAFreshness: A$0.3 / $0.9131K ctxOpen weights - 0.587score
Kimi K2.6
Moonshot AI
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration.
ModelAFreshness: A$0.65 / $3.41262K ctxOpen weights - 0.587score
Qwen3.5-35B-A3B
Qwen (Alibaba)
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse…
ModelAFreshness: A$0.14 / $1262K ctxOpen weights - 0.580score
Magnum v4 72B
Magnum v4 72B
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically…
ModelAFreshness: A$2.5 / $533K ctxOpen weights - 0.577score
UnslopNemo 12B
TheDrummer
UnslopNemo v4.1 is the latest addition from the creator of Rocinante, designed for adventure writing and role-play scenarios.
ModelAFreshness: A$0.4 / $0.41M ctxOpen weights - 0.519score
Phi 4
Microsoft
[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or…
ModelAFreshness: A$0.07 / $0.1416K ctxOpen weights - 0.517score
Nemotron 3 Nano Omni
NVIDIA
NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems.
ModelAFreshness: AFree / Free256K ctxOpen weights - 0.681score
DeepSeek V4 Pro 0423
DeepSeek
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context…
ModelAFreshness: A$0.955 / $1.911M ctxOpen weights - 0.681score
DeepSeek V4 Flash 0423
DeepSeek
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a…
ModelAFreshness: A$0.091 / $0.1821M ctxOpen weights - 0.681score
Llama 3.2 3B Instruct
Meta
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation…
ModelAFreshness: A$0.05 / $0.33131K ctxOpen weights - 0.681score
Qwen3 30B A3B Instruct 2507
Qwen (Alibaba)
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference.
ModelAFreshness: A$0.1 / $0.3262K ctxOpen weights - 0.681score
Qwen3 Coder Next
Qwen (Alibaba)
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows.
ModelAFreshness: A$0.12 / $0.8262K ctxOpen weights - 0.592score
Hy4 preview
Tencent
Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total.
ModelAFreshness: A$0.834 / $2.51M ctxOpen weights - 0.592score
MiMo-V2.6-Pro
Xiaomi
MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi.
ModelAFreshness: A$0.435 / $0.871.1M ctxOpen weights - 0.592score
Qwen3 Next 80B A3B Thinking
Qwen (Alibaba)
Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default.
ModelAFreshness: A$0.15 / $1.2262K ctxOpen weights