Deep Infra
Generative AI infrastructure software
Generative AI software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Deep Infra and its alternatives fit your requirements.
Pay-as-you-go
Free Trial unavailableFree version unavailable
Small
Medium
Large
- Information technology and software
- Healthcare and life sciences
- Transportation and logistics
What is Deep Infra
Deep Infra is a hosted inference platform that provides API access to open-source and third-party generative AI models for text, embeddings, image generation, and related tasks. It targets developers and product teams that want to integrate model inference into applications without operating their own GPU infrastructure. The service focuses on managed endpoints, model catalog access, and usage-based billing for production inference workloads. It is typically used for building AI features, running batch inference, and prototyping with multiple models through a unified API.
Managed model inference APIs
Deep Infra provides hosted endpoints that abstract GPU provisioning, scaling, and model serving operations. This reduces the operational work required to deploy and maintain inference services compared with self-managed stacks. It fits teams that want to call models via API rather than run their own serving layer. The approach aligns with production use cases where reliability and predictable integration matter.
Broad model catalog access
The platform offers access to multiple model families and modalities through a single service, which supports experimentation and model switching. This can shorten evaluation cycles when comparing models for quality, latency, and cost. It also helps teams avoid building separate integrations for each model provider or self-hosted deployment. A unified catalog is useful for applications that need both embeddings and generative outputs.
Developer-oriented integration
Deep Infra is designed around API consumption, which fits common application development workflows. It supports typical patterns such as synchronous inference calls and embedding generation for retrieval pipelines. This makes it straightforward to integrate into web services, background jobs, and data processing pipelines. Teams can focus on application logic rather than infrastructure orchestration.
Less end-to-end AI tooling
Deep Infra primarily addresses inference and model access rather than full lifecycle capabilities such as data preparation, feature engineering, experiment tracking, and governed deployment workflows. Organizations that need an integrated environment for building, managing, and auditing AI projects may require additional tools. This can increase overall platform complexity. It is a stronger fit for teams that already have MLOps and data tooling in place.
Vendor dependency for serving
Using a hosted inference provider introduces dependency on the vendor’s availability, pricing changes, and supported model versions. If an application requires strict control over runtime environments, patching cadence, or custom model modifications, a managed service can be limiting. Migration to another serving approach may require integration changes and revalidation. This is a common trade-off versus self-hosted inference.
Governance and compliance fit varies
Regulated industries may require specific certifications, data residency controls, private networking, or detailed audit capabilities that are not always available in general-purpose inference platforms. Teams may need to validate how prompts, outputs, and logs are handled and retained. Enterprise procurement may also require contractual assurances and security documentation. These requirements can affect suitability for sensitive workloads.
Plan & Pricing
Pricing model: Pay-as-you-go (per-token, per-execution-time, and per-GPU-hour billing)
Billing & minimums: Requires adding a card or pre-paying to use services. Invoicing thresholds / usage tiers (automatic tiering as spend increases): Tier 1 = $20; Tier 2 = $100; Tier 3 = $500; Tier 4 = $2,000; Tier 5 = $10,000. Invoices generated monthly and when tier thresholds are reached.
Free tier / trial: No permanent free plan stated on pricing/docs. (See Free plan / trial fields below.)
Example costs (official site examples / representative SKUs):
-
Token-priced LLM examples (prices shown are per 1M input tokens / per 1M output tokens):
- DeepSeek-V3.2 — $0.26 (in) / $0.38 (out)
- DeepSeek-R1-0528 — $0.50 (in) / $2.15 (out)
- MiniMax-M2.5 — $0.27 (in) / $0.95 (out)
- zai-org GLM-5 — $0.80 (in) / $2.56 (out)
- Llama-4-Scout-17B-16E — $0.08 (in) / $0.30 (out)
- gemini-2.5-pro — $1.25 (in) / $10.00 (out)
-
Execution-time / per-second examples (models billed by inference execution time):
- Bria text-to-video models (e.g., video_eraser, video_foreground_mask, etc.) — $0.14 per second.
- Some image models — $0.00–$0.01 per image examples shown on site (e.g., fibo_edit listed as $0.00 / image; p-image $0.005 / image).
- FLUX image pricing formulas shown (example: FLUX-1-dev $0.009 x (w/1024) x (h/1024) x (iters/25); FLUX-1-schnell $0.0005 x ... ).
-
Embeddings (per 1M input tokens):
- bge-base-en-v1.5 — $0.005 / 1M
- e5-large-v2 — $0.01 / 1M
- other embedding models listed at $0.005–$0.01 per 1M
-
Dedicated GPU (custom LLMs / uptime billed in minute granularity; invoiced weekly):
- A100 80GB — $0.89 per GPU-hour
- H100 80GB — $1.69 per GPU-hour
- H200 141GB — $1.99 per GPU-hour
- B200 180GB / DGX B200 — $2.49 per instance-hour (DGX/B200 cluster pricing noted)
Discounts / enterprise / custom: No public standard discounts listed. Dedicated instances, DGX clusters, and enterprise or volume pricing handled via sales / contact (contact sales / dedicated@deepinfra.com referenced).
Notes / billing behavior:
- Models are priced either per-token (input + output billed separately) or per-execution-time depending on model type.
- Accounts limited to 200 concurrent requests by default; request increases via sales.
- Invoicing generated at start of month and also intra-month when tier thresholds are reached.
- Official site states "You have to add a card or pre-pay or you won't be able to use our services."
Seller details
Deep Infra, Inc.
Private
https://deepinfra.com/
https://x.com/deepinfra
https://www.linkedin.com/company/deepinfra/
