Mistral AI API
A developer service from a French AI lab for its Mistral models, which a company can also run on its own servers under a commercial license.
A GPU cloud service for running open-source AI models like Llama and DeepSeek, with fine-tuning and rentable GPU clusters.
Together AI is a cloud service for running open-source and openly licensed AI models rather than one proprietary model family. Developers call its serverless API to use models such as Meta's Llama, DeepSeek, Qwen, and Google's Gemma, with no servers to manage and payment only for tokens used. Teams that need more control can reserve dedicated GPU capacity, rent full GPU clusters by the hour, or fine-tune an open model on their own data using Together's training tools. Access is by API key, and the request format matches OpenAI's, so many existing tools work with only a small configuration change. Pricing is public and listed per model, with some small open models priced under $0.20 per million tokens.
This fits a team that wants to run open-source models rather than depend on a closed vendor's model, whether to control cost, keep the option to self-host later, or fine-tune on private data without sending it to a big-lab vendor. A reasonable pilot is swapping one existing OpenAI-based feature for a comparable open model on Together's serverless API, since the interface is compatible and the cost is usually lower. As a planning figure, budget from a few cents to a few dollars per million tokens depending on model size, with dedicated capacity and fine-tuning billed by the GPU hour. The tradeoff is more decisions about which open model fits the task, and open models can lag the largest closed models on complex reasoning, so confirm current versions before committing.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $60.7K | $96.5K | $156.5K |
| Three-year total | $127.9K | $194.5K | $302.9K |
| First-year cost per unit | $60.7K | $96.5K | $156.5K |
| Average annual cost per unit (over three years) | $42.6K | $64.8K | $101K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $18K | $24K | $32.4K |
| Implementation | $9K | $15K | $25.5K |
| Integration | $13.2K | $24K | $43.2K |
| Staff time and change management | $7K | $10K | $14K |
| Security | $5.3K | $7.5K | $11.3K |
| Administration | $3.8K | $5K | $6.8K |
| Support | $1.7K | $2.2K | $3K |
Estimate assumptions: Based on 1 production API workspace. This is a planning allowance, not verified product pricing. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of Together AI and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
A developer service from a French AI lab for its Mistral models, which a company can also run on its own servers under a commercial license.
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