Clarifai
Data labeling software
Data science and machine learning platforms
Image recognition software
Generative AI infrastructure software
Machine learning software
Deep learning software
Emotion AI software
Generative AI software
Large language model operationalization (LLMOps) software
Low-code machine learning platforms software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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Pay-as-you-go
Free Trial
Free version unavailable
Small
Medium
Large
- Media and communications
- Retail and wholesale
- Accommodation and food services
What is Clarifai
Clarifai is an AI platform for building, deploying, and operating machine learning and generative AI models, with a historical focus on computer vision. It supports workflows such as dataset management and labeling, model training and evaluation, and serving models via APIs for applications like image/video understanding, content moderation, and enterprise search. The platform also provides tooling to run and manage large language models and other foundation models across environments, with options for no-code/low-code configuration alongside developer APIs.
End-to-end AI lifecycle coverage
Clarifai combines data management, labeling, model development, and deployment/serving in one platform. This reduces the need to stitch together separate tools for annotation, training, and inference operations. It is suited to teams that want a single system to move from raw media to production model endpoints with governance controls.
Strong computer vision capabilities
The product is built around image and video understanding use cases, including classification, detection, and moderation-style workflows. It supports media-centric pipelines that are common in retail, security, and digital content operations. This focus can be advantageous compared with platforms that primarily optimize for text-only or general-purpose ML workflows.
Multiple consumption options
Clarifai offers API-based integration for developers and UI-driven workflows for less technical users. It supports deploying models in different environments (e.g., cloud and controlled enterprise setups), which helps organizations with data residency or security constraints. This flexibility can reduce friction when moving from experimentation to operational use.
Less specialized labeling depth
While Clarifai includes labeling and dataset tools, organizations with large annotation workforces or highly specialized labeling workflows may find more depth in dedicated labeling-first products. Advanced features such as complex workforce management, highly customized QA pipelines, or niche annotation modalities may require additional configuration or complementary tooling. This can matter for teams where labeling operations are the primary bottleneck.
Platform complexity for small teams
Because it spans multiple stages of the ML lifecycle, the product can introduce setup and governance overhead for smaller teams that only need a narrow capability (e.g., simple annotation or basic model hosting). Users may need time to learn the platform’s concepts and configure projects, permissions, and pipelines. For lightweight use cases, a simpler point solution may be faster to adopt.
LLMOps breadth varies by use case
Clarifai supports running and operationalizing foundation models, but LLMOps requirements differ widely (prompt/version management, evaluation harnesses, safety testing, and retrieval pipelines). Some organizations may need to integrate additional tools for advanced experimentation tracking, offline evaluation, or complex RAG observability. Fit depends on how much of the LLM lifecycle a team expects the platform to cover natively.
Plan & Pricing
Pricing model: Pay-as-you-go (prepaid credits)
Free tier/trial:
- One-time promotional $5 welcome credit for new verified users (expires 30 days after claim).
- 14-day free trial/benchmark for Clarifai’s inference engine (requires contacting Clarifai / "Talk to us about a 14-day Free Trial").
Example costs (official site examples):
-
Large language models (per 1M tokens):
- Kimi-K2-Thinking — Input $1.50 / Output $1.50 per 1M tokens.
- Qwen3-Next-80B-A3B-Thinking — Input $1.09 / Output $1.08 per 1M tokens.
- GPT OSS 120B — Input $0.09 / Output $0.36 per 1M tokens.
- Llama-3_2-3B-Instruct — Input $0.13 / Output $0.63 per 1M tokens.
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Vision-language models (per 1M tokens):
- GPT-5_1 — Input $1.5625 / Output $12.50 per 1M tokens.
- Claude-Opus-4_5 — Input $6.25 / Output $31.25 per 1M tokens.
- Grok-4-1-Fast — Input $0.25 / Output $0.625 per 1M tokens.
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Small image models (per request):
- Pre-trained classification — $0.0012 / request.
- Pre-trained detection — $0.002 / request.
- Pre-trained segmentation — $0.0032 / request.
- Custom classification — $0.0032 / request.
- Custom detection — $0.005 / request.
- Custom segmentation — $0.008 / request.
-
Small language models (per request):
- Pre-trained classification — $0.0012 / request.
- Pre-trained NER — $0.002 / request.
- Custom classification — $0.0032 / request.
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Inputs & vectors:
- Input/vector ingest (general embeddings) — $0.0012 / request.
- Input/vector ingest (detection embeddings) — $0.002 / request.
- Active inputs index (monthly) — $0.001 / input (monthly).
- Input & vector search — $0.0012 / request.
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Model training & compute:
- Model training job (single GPU) — $4 / hr.
- Model training containers (multi-GPU) — Contact Clarifai (official site).
-
Dedicated node (examples shown on pricing page):
- Per-minute examples: NVIDIA L4 24GB 16XL g6.16xlarge — $0.0708 / minute; NVIDIA H100 80GB 48XL p5.48xlarge — $1.1467 / minute (listed on site).
- Per-hour examples (Clarifai-managed nodes): 8x NVIDIA B200 192GB (Clarifai) — $47.92 / hr; NVIDIA H100 80GB XL (Clarifai) — $2.49 / hr (representative entries shown on the official pricing page).
Enterprise / higher-scale:
- Hybrid-Cloud AI Enterprise and Private AI Enterprise: custom pricing; contact sales for quotes, multi-region/VPC/air-gapped deployments, and committed-instance options.
Discounts / notes:
- The vendor emphasizes prepaid credits (PAYG) and no fixed monthly minimums for self-serve accounts; you pay only for the credits you use.
- Some dedicated instances require a one-year commitment (noted on the pricing page for select node types).
- Volume/commitment discounts and multi-GPU pricing are available via sales/enterprise conversations ("Contact us").
Source & scope constraints:
- All pricing above was extracted directly from Clarifai's official site (Pricing page and official blog post describing the PAYG credits rollout). No third-party sources were used.
Seller details
Clarifai, Inc.
New York, NY, USA
2013
Private
https://www.clarifai.com/
https://x.com/clarifai
https://www.linkedin.com/company/clarifai/
