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Ollama Cloud Free costs $0 and provides a monthly starter allowance for a smaller set of models; Pro costs $20 per month or $200 per year and includes $60 in monthly usage credits plus access to larger Pro models. The Free allowance is not quantified on Ollama’s published pages, and neither plan’s credits translate into a fixed number of prompts: Cloud usage is charged at model-specific token rates.
Ollama Cloud Free vs Pro at a glance
| Plan detail | Free | Pro |
|---|---|---|
| Listed price | $0 | $20 per month or $200 per year when billed annually |
| Included monthly usage | A starter amount; Ollama’s published pages do not state its dollar value | $60 in usage credits |
| Model access | Starter models; purchasing usage credits unlocks all models | Includes access to larger Pro models |
| Concurrent requests | 1 | 3 |
| Included-usage reset | Monthly, based on signup date | Monthly, based on subscription start day, including annual plans |
| Unused included usage | Does not roll over | Does not roll over |
These are Ollama’s listed terms on its pricing page, checked in 2026. Prices, model access, and token rates can change, so check the page before subscribing.
How Cloud usage and credits work
Ollama measures hosted Cloud usage in tokens and charges different rates for each model. The pricing table separates input tokens, cached input tokens, and output tokens, so the same request can incur different rates across its prompt and response. Included plan credits are a spending allowance—not a guaranteed token total or number of requests.
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#1 Best Overall
- NVIDIA Volta GV100 Architecture — 4,608 CUDA Cores, 640 1st-Gen Tensor Cores delivering 14 TFLOPS FP32 and 112 TFLOPS deep learning performance for AI training, inference, HPC, and scientific computing workloads
- 32GB HBM2 ECC Memory — 900 GB/s Bandwidth — High-bandwidth memory on a 4096-bit bus with ECC error correction provides the memory capacity and throughput required for the largest AI models, simulations, and datasets
- PCIe 3.0 x16 Interface — 250W TDP — Standard PCIe Gen3 connectivity with passive cooling designed for enterprise rack server deployment in HPE ProLiant, Dell PowerEdge, and Supermicro platforms with adequate chassis airflow
- NVLink — Scale to 96GB Unified Memory — Connect two V100 GPUs via NVLink at 300 GB/s bi-directional bandwidth to scale GPU memory from 32GB to 96GB for larger AI training and HPC workloads
- Multi-Precision Computing — Supports FP64 (7 TFLOPS), FP32 (14 TFLOPS), FP16 (112 TFLOPS) and INT8 precision modes for flexible deployment across training, inference, and scientific simulation workloads
After included credits are used, usage can continue at the published per-token rates. If you purchase additional usage credits, Ollama uses included plan credits first and purchased credits afterward. The August 31, 2026 pricing announcement describes the new plans as having no five-hour or weekly usage limits. That does not remove the separate concurrency and queue limits.
When does monthly usage reset, and do credits roll over?
Free usage resets monthly based on the date you signed up. Paid-plan included usage resets on the same day of the month your subscription began, even if you pay annually. Unused included credits do not roll into the next month.
Rank #2
- High-Performance AI Processing: The MX3 is designed to handle the most demanding AI computer vision workloads, delivering exceptional performance and efficiency.
- Flexible Integration: The MX3 can be easily integrated into your existing systems via its M.2 M-key form factor and support for Linux operating systems.
- Energy Efficient: The MX3 is designed to provide high performance while minimizing power consumption.
- Comprehensive Software Development Kit (SDK): The MX3 is supported by a comprehensive SDK that simplifies development and deployment.
- Hardware compatability: The MX3 is compatible with the PCI-SIG M.2 M-key 2280 Specification. It can be used with the Raspberry Pi 5 with a M-key 2280 HAT.
Paid plans can send an email reminder when usage reaches 90% of the included monthly allowance. Ollama’s pricing FAQ says this reminder can be turned off.
How many requests can you run at once?
Concurrency is independent of the monthly credit balance: Free allows one concurrent request, while Pro allows three. Requests beyond that limit queue for an open slot. Ollama sets a maximum queue size, so a request may be rejected if the queue is full.
Rank #3
- ✅Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor. 2.5W typical power consumption
- ✅Scalable, enabling simultaneous processing of multi-streams & multi-models
- ✅Enabling real-time, low latency and high-efficiency AI inferencing on the edge devices
- ✅Supports TensorFlow, TensorFlow Lite, ONNX, Keras, Pytorch frameworks
- ✅Supports Linux and Windows. Supports the temperature range of -40°C to 85°C
Which plan fits your usage?
Choose Free to try hosted models
Free is the no-cost option for trying the starter model selection with a monthly allowance. Because Ollama does not publish that allowance as a dollar amount on the pages checked, you cannot reliably calculate a monthly prompt or token budget from the plan description alone.
Choose Pro for larger models and a stated credit pool
Pro is the clearer choice if you need access to larger Pro models, three concurrent requests, or a known monthly credit amount. Its $60 of included usage is a spending pool, not a guarantee of a particular number of interactions. Whether the $20 monthly or $200 annual plan is worthwhile depends on the models and token volumes you use; the listed terms alone do not establish that Pro is cheaper.
Rank #4
- 48GB AI graphics accelerator
Consider local inference separately
Cloud plans cover hosted inference. Ollama’s FAQ says, “Running models on your own hardware is always unlimited.” That statement concerns local inference, not Cloud allowances or hosted request limits. Ollama describes its Cloud models as working with its local tools and API, and its Cloud documentation says signing in to ollama.com is required.
What existing subscribers should check
The new Free and Pro comparison may not apply to an existing subscriber on legacy terms. In its August 31, 2026 announcement, Ollama says legacy subscribers can keep those terms by continuing to auto-renew. Changing a plan tier or billing cycle, or cancelling and later subscribing again, moves the account to the new pricing model. Check your account’s current plan and billing details before making a change.
Quick Recap
Best Value
- Professional AI & Creator Workstation: AMD Radeon AI PRO R9700 GPU with 32GB GDDR6 is engineered for AI development, professional content creation, and compute-intensive workloads.
- Massive 32GB Memory Capacity: 32GB of GDDR6 memory on a 256-bit bus provides ample bandwidth for large AI models, 8K video editing, and complex 3D rendering.
- Advanced RDNA 4 with AI Accelerators: 64 Compute Units with 3rd Gen Ray Tracing and dedicated 2nd Gen AI Accelerators for groundbreaking AI performance and visual computing.
- Professional Blower Cooling: Efficient single blower design exhausts heat directly out of the chassis, ideal for multi-GPU workstation and server configurations.
- Enterprise-Grade Thermal Solution: Vapor chamber heatsink with industrial Honeywell PTM7950 thermal interface material ensures reliable cooling under sustained professional loads.
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
