Search
“Model inference”
Showing 1–18 of 18 for “Model inference”
- 0.592score
GLM 5.3 FlashX
Z.ai
GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s.
ModelAFreshness: A$0.37 / $1.251M ctx - 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 - 0.592score
GLM 5 Turbo
Z.ai
GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios.
ModelAFreshness: A$1.2 / $4203K ctx - 0.592score
MiniMax M1
MiniMax
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference.
ModelAFreshness: A$0.55 / $2.21M ctx - 0.681score
MiMo-V2.5
Xiaomi
MiMo-V2.5 is a native omnimodal model by Xiaomi.
ModelAFreshness: A$0.119 / $0.2381.1M ctxOpen weights - 0.587score
Qwen3.5-27B
Qwen (Alibaba)
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed…
ModelAFreshness: A$0.27 / $2.16262K ctxOpen weights - 0.592score
Qwen3.5 Plus 2026-02-15
Qwen (Alibaba)
The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse…
ModelAFreshness: A$0.26 / $1.561M ctx - 0.592score
Qwen3.5-Flash
Qwen (Alibaba)
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse…
ModelAFreshness: A$0.065 / $0.261M ctx - 0.587score
Qwen3.5 397B A17B
Qwen (Alibaba)
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse…
ModelAFreshness: A$0.5 / $3.6262K ctxOpen weights - 0.587score
Qwen3.5-122B-A10B
Qwen (Alibaba)
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse…
ModelAFreshness: A$0.26 / $2.08262K 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 - 0.681score
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 - 0.595score
Seed-2.0-Mini
ByteDance Seed
Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment.
ModelAFreshness: A$0.1 / $0.4262K ctx - 0.587score
MiniMax-01
MiniMax
MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding.
ModelAFreshness: A$0.2 / $1.11M ctxOpen weights - 0.582score
Ling 3.0 Flash
inclusionAI
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*.
ModelAFreshness: A$0.021 / $0.063262K ctxOpen weights - 0.592score
GLM 5.3 Prime
Z.ai
GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference…
ModelAFreshness: A$2.8 / $8.81M ctx - 0.584score
Gemma 4 26B A4B
Google
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind.
ModelAFreshness: A$0.09 / $0.3262K ctxOpen weights - 0.592score
Qwen3.6 Plus
Qwen (Alibaba)
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and…
ModelAFreshness: A$0.325 / $1.951M ctx