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Anthropic vs GMI Cloud
GMI Cloud owns its GPUs and offers APAC data residency across 100+ text, image, video and audio models. Anthropic offers closed Claude. Region and modality against coding depth.
By The Subconscious Team · Updated
Anthropic vs GMI Cloud: key differences
GMI Cloud is a vertically integrated GPU cloud with Tier-4 data centers in Silicon Valley, Colorado, Taiwan, Thailand and Malaysia. Its Inference Engine exposes 100+ models, including 45+ LLMs, 50+ video models, 25+ image models and 15+ audio models from providers like Google Veo, Kling, MiniMax and ElevenLabs. Customers can move from shared endpoints to reserved H100 or H200 capacity on the same API. Anthropic offers none of that breadth. It sells Claude models by the token, with 1M context on its top tiers.
The decision usually turns on geography and media. An Asia-Pacific company that needs inference kept in-country, or an app that wants LLMs and video generation on one bill, fits GMI. A team whose product depends on strong coding and long-running agents fits Claude. GMI has less developer mindshare and third-party benchmarking than US peers, and its LLM catalog is smaller than larger open-model hosts, so its claims need your own testing. Claude's coding benchmark results are more widely reported.
What Anthropic and GMI Cloud do
Anthropic
Anthropic sells the Claude family of closed models through its own API, Amazon Bedrock, Google Vertex AI and Microsoft Foundry. The public lineup today runs from Claude Fable 5.1 at the top, released September 1, 2026, through Opus 5.5 ($4 in, $20 out) and Sonnet 5.5 ($2 in, $10 out) down to Haiku 5.5. List prices span a hundredfold range, from $10 in and $50 out on Fable to $0.10 in and $0.50 out on Haiku. All four tiers have a 1M token context window. The top three bill it at standard pricing, while Haiku 5.5 charges more past 100K.
Example models: Claude Fable 5.1, Claude Opus 5.5, Claude Haiku 5.5
Full Anthropic 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, B200 and GB200 supply, with GB300 on pre-order. In March 2026 it announced a 1GW sovereign AI factory in Kagoshima, Japan. The company pivoted from crypto mining into AI, which gave it experience standing up high-density power and cooling fast. In September 2026 it raised $668M: a $223M Series B led by ARCHIV with NVIDIA participating, plus a $445M credit facility led by CTBC. It reports over $600M in contracted ARR and about 4T tokens a week on its inference platform.
Example models: DeepSeek V4 Flash, GLM-5.2, Google Veo
Full GMI Cloud profileShould you choose Anthropic or GMI Cloud?
Anthropic
Choose Anthropic for
- Coding and long-horizon agents on a frontier model
- Teams that want widely benchmarked models
- Procurement through major US clouds
GMI Cloud
Choose GMI Cloud for
- APAC companies needing in-country data residency
- Apps combining LLMs with video and image generation
- Growing from shared endpoints to reserved GPUs
Anthropic vs GMI Cloud at a glance
| Attribute | Anthropic | GMI Cloud |
|---|---|---|
| Model access | Closed | Open and third-party models |
| Flagship models | Claude Fable 5.1, Opus 5.5, Sonnet 5.5, Haiku 5.5 | DeepSeek V4 Flash, GLM-5.2, Google Veo |
| Speed | Fable is the slowest tier | Near bare-metal performance |
| Price | $0.10–$10 in, $0.50–$50 out per 1M | H100 from $2.60/GPU-hr |
| Customization | N/A | Unknown |
| Deployment | API, Bedrock, Vertex AI, Microsoft Foundry | Shared, autoscaling, reserved GPUs |
| Long context | 1M; Haiku 5.5 costs more past 100K | Varies by model |
Frequently asked questions
What is the difference between Anthropic and GMI Cloud?
GMI Cloud owns its GPUs and offers APAC data residency across 100+ text, image, video and audio models. Anthropic offers closed Claude. Region and modality against coding depth.
When should I choose Anthropic over GMI Cloud?
Coding and long-horizon agents on a frontier model; Teams that want widely benchmarked models; Procurement through major US clouds.
When should I choose GMI Cloud over Anthropic?
APAC companies needing in-country data residency; Apps combining LLMs with video and image generation; Growing from shared endpoints to reserved GPUs.
Is Anthropic or GMI Cloud cheaper?
Anthropic: $0.10–$10 in, $0.50–$50 out per 1M. GMI Cloud: H100 from $2.60/GPU-hr. The cheaper choice depends on the model and workload.
Which has more context, Anthropic or GMI Cloud?
Anthropic: 1M; Haiku 5.5 costs more past 100K. GMI Cloud: Varies by model.
Related comparisons
Running long-horizon agents?
If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.