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“Model inference”
Showing 1–9 of 9 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 - 0.592score
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 - 0.592score
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 - 0.681score
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 - 0.587score
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 - 0.592score
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 - 0.592score
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