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DeepSeek vs GMI Cloud
GMI Cloud offers 100+ text, image, video and audio models on owned hardware with APAC data residency. DeepSeek offers two cheap open text models from a China-hosted API.
By The Subconscious Team · Updated
DeepSeek vs GMI Cloud: key differences
DeepSeek is a model lab with a narrow API: V4 Pro and V4.1 Flash, both at 1M context, both priced to undercut most of the market, and both open under MIT. GMI Cloud is an infrastructure company. It owns NVIDIA hardware in Tier-4 data centers in Silicon Valley, Colorado, Taiwan, Thailand and Malaysia, and its Inference Engine exposes 100+ models, including 45+ LLMs and 50+ video models, with entry pricing like GLM-4.7-Flash at $0.07 in and $0.40 out. The two only overlap on cheap text inference.
Region is often the tiebreaker. DeepSeek stores hosted data in China, while GMI offers in-country APAC residency in Taiwan, Thailand and Malaysia. GMI also lets customers move from shared endpoints to reserved H100 or H200 capacity on the same API, which DeepSeek does not sell. On the other hand, GMI's LLM catalog is smaller and less current than the big open-model hosts, and its claims have less third-party benchmarking. DeepSeek is the better pick for cheap frontier-class open text models. GMI fits multimodal APAC products.
What DeepSeek and GMI Cloud do
DeepSeek
DeepSeek is the Chinese lab whose open-weight models reset price expectations for the whole market. Its API now serves two models, both with 1M context and 384K max output. V4.1 Flash shipped September 10, 2026 with built-in image understanding at $0.30 in and $1.20 out at peak. V4 Pro, generally available since August 13, costs $1.32 in and $3.96 out at peak. Cache hits cost a few cents per million or less, and the weights ship on Hugging Face under an MIT license.
Example models: DeepSeek V4.1 Flash, DeepSeek V4 Pro
Full DeepSeek profileGMI Cloud
GMI Cloud is a vertically integrated GPU cloud and inference platform that owns its NVIDIA hardware. It runs Tier-4 data centers in Silicon Valley, Colorado, Taiwan, Thailand and Malaysia, and as an NVIDIA Cloud Partner it gets priority access to H100, H200 and B200 supply. The company pivoted from crypto mining into AI, which gave it experience standing up high-density power and cooling fast. An $82M Series A came from Headline, Wistron and Thai energy group Banpu.
Example models: GLM-4.7-Flash, Google Veo
Full GMI Cloud profileShould you choose DeepSeek or GMI Cloud?
DeepSeek vs GMI Cloud at a glance
| Attribute | DeepSeek | GMI Cloud |
|---|---|---|
| Model access | Open weights (MIT) | Open and third-party models |
| Flagship models | DeepSeek V4.1 Flash, V4 Pro | GLM-4.7-Flash, Google Veo |
| Speed | ~35 tok/s on V4 Pro | Near bare-metal performance |
| Price | Off-peak hours at half price | $0.07 in, $0.40 out (GLM-4.7-Flash) |
| Customization | Open weights to fine-tune | Unknown |
| Deployment | First-party API, Hugging Face weights | Shared, autoscaling, reserved GPUs |
| Long context | 1M, 384K max output | Varies by model |
Frequently asked questions
What is the difference between DeepSeek and GMI Cloud?
GMI Cloud offers 100+ text, image, video and audio models on owned hardware with APAC data residency. DeepSeek offers two cheap open text models from a China-hosted API.
When should I choose DeepSeek over GMI Cloud?
Cheap, current open text models with 1M context; Off-peak batch jobs at half price; Self-hosting MIT weights.
When should I choose GMI Cloud over DeepSeek?
APAC products that need in-country residency; Text and video generation on one bill; Reserved H100 or H200 capacity on the same API.
Is DeepSeek or GMI Cloud cheaper?
DeepSeek: Off-peak hours at half price. GMI Cloud: $0.07 in, $0.40 out (GLM-4.7-Flash). The cheaper choice depends on the model and workload.
Which has more context, DeepSeek or GMI Cloud?
DeepSeek: 1M, 384K max output. GMI Cloud: Varies by model.
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