GMICloud
Inference host · 17 models · 17 priced routes
Models on GMICloud
| Model | In / out per 1M | Vs headline | |
|---|---|---|---|
| DeepSeek V4 Flash 0423 | $0.14 / $0.28+56% vs headline | +56% | fp8 · 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. |
| 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 | $0.29 / $0.43+12% vs headline | +12% | fp8 · DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. |
| DeepSeek V3 0324 | $0.29 / $1.14+15% vs headline | +15% | fp8 · DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. |
| DeepSeek V4.1 Flash | $0.3 / $1.2+383% vs headline | +383% | 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. |
| DeepSeek V4.1 Flash 1017 | $0.3 / $1.2+100% vs headline | +100% | 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 235B A22B Instruct 2507 | $0.35 / $1.4+199% vs headline | +199% | fp8 · Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. |
| DeepSeek V4 Flash Vision Exp | $0.44 / $1.32Same vs headline | Same | fp8 · DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of DeepSeek V4 Flash 0731 from DeepSeek, adding image understanding while matching the base model on text capabi |
| DeepSeek V4 Flash 0731 | $0.44 / $1.32+639% vs headline | +639% | fp8 · DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. |
| Qwen3.5 397B A17B | $0.6 / $3.6+54% vs headline | +54% | 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. |
| GLM 5 | $1 / $3.2+43% vs headline | +43% | fp8 · GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. |
| Kimi K2.7 Code | $0.95 / $4Same vs headline | Same | fp8 · MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. |
| 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. |
| 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. |
| GLM 5.1 | $1.4 / $4.4+54% vs headline | +54% | fp8 · GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. |
| DeepSeek V4 Pro 0423 | $1.74 / $3.48+107% vs headline | +107% | fp8 · 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. |