AtlasCloud
Inference host · 18 models · 18 priced routes
Models on AtlasCloud
| Model | In / out per 1M | Vs headline | |
|---|---|---|---|
| DeepSeek V4 Flash 0423 | $0.14 / $0.28+56% vs headline | +56% | fp4 · DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. |
| DeepSeek V4.1 Flash | $0.135 / $0.54+117% vs headline | +117% | fp8 · DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. |
| GLM 5.3 Flash | $0.15 / $0.5+389% vs headline | +389% | fp8 · GLM-5.3-Flash is a native multimodal model from Z.ai. |
| DeepSeek V3.2 | $0.26 / $0.38Same vs headline | Same | fp8 · DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. |
| DeepSeek V4.1 Flash 1017 | $0.195 / $0.78+30% vs headline | +30% | fp8 · DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the deepseek-flash API model name. |
| Qwen3.6 35B A3B | $0.25 / $1.25+942% vs headline | +942% | fp8 · Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. |
| Qwen3.5-35B-A3B | $0.225 / $1.8+38% vs headline | +38% | fp8 · 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 mixture-of-experts model, achieving higher inference efficiency. |
| DeepSeek V4 Flash 0731 | $0.44 / $1.32+639% vs headline | +639% | fp4 · DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. |
| Qwen3.5-27B | $0.27 / $2.16+38% vs headline | +38% | fp8 · The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. |
| Qwen3.5-122B-A10B | $0.3 / $2.4+15% vs headline | +15% | fp8 · The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. |
| Kimi K2.5 | $0.49 / $2.5Same vs headline | Same | int4 · Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. |
| Qwen3.5 397B A17B | $0.55 / $3.5+47% vs headline | +47% | fp8 · 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 mixture-of-experts model, achieving higher inference efficiency. |
| Kimi K2.6 | $0.95 / $4Same vs headline | Same | int4 · 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. |
| GLM 5.1 | $1.26 / $3.96+38% vs headline | +38% | fp8 · GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. |
| DeepSeek V4 Pro 0813 | $1.32 / $3.96+100% vs headline | +100% | fp8 · DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. |
| DeepSeek V4 Pro 0423 | $1.68 / $3.38+100% vs headline | +100% | fp4 · 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 window. |
| GLM 5.3 | $1.4 / $4.4+344% vs headline | +344% | fp8 · GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. |
| GLM 5.2 | $1.4 / $4.4+131% vs headline | +131% | fp8 · GLM 5.2 is a large-scale reasoning model from Z.ai. |