Copy.ai vs Together AI Pricing (2026)
How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.
| Copy.ai | Together AI | |
|---|---|---|
| Starts at | $29/mo | Custom |
| Number of plans | 5 | 7 |
| Free plan | — | — |
| Free trial | — | — |
| Pricing model | per-seat | usage-based |
Chat
- 5 Seat
- Unlimited Words in Chat
- Unlimited Chat Projects
- Access to OpenAI, Anthropic, and Gemini models
Growth
- 75 Seats
- Unlimited Words in Chat
- 20K Workflow Credits/Mo
Expansion
- 150 Seats
- Unlimited Words in Chat
- 45K Workflow Credits/Mo
Scale
- 200 Seats
- Unlimited Words in Chat
- 75K Workflow Credits/Mo
Enterprise
- Guided Jumpstart Implementation
- API Access & Bulk Workflow Runs
- 20+ Tech Integrations & API Access
- Unlimited Customizable Workflows
- Designated Account & Support Team
- Enterprise Grade Security Protocols
Serverless Inference
- Chat models (price per 1M tokens)
- Vision models (price per 1M tokens)
- Image generation models (price per image or per mp)
- Audio / TTS models (price per 1M characters)
- Video generation models (price per video)
- Transcription models (price per audio minute)
- Embeddings models (price per 1M tokens)
- Moderation models (price per 1M tokens)
- Batch API pricing available
Provisioned Throughput
- Reserved dedicated capacity in throughput units (PTUs)
- Fixed capacity per PTU with model-dependent tokens-per-minute
- MiniMax M3 support
- GLM-5.2 support
Dedicated Inference
- Guaranteed performance (no sharing)
- Support for custom models
- Autoscaling & traffic spike handling
- NVIDIA HGX H100 on-demand ($5.49/GPU/hr)
- NVIDIA HGX B200 on-demand ($8.99/GPU/hr)
- NVIDIA HGX H200 (contact us)
- NVIDIA HGX B300 (contact us)
- NVIDIA GB200 NVL72 (contact us)
- NVIDIA GB300 NVL72 (contact us)
- Reserved capacity available
GPU Clusters
- On-demand pay-as-you-go GPU capacity (hourly)
- Reserved capacity (7-30 days, 31-90 days, 91-180 days, 181+ days)
- NVIDIA HGX H100 on-demand ($3.99/GPU/hr)
- NVIDIA HGX H200 on-demand ($5.99/GPU/hr)
- NVIDIA HGX B200 on-demand ($8.19/GPU/hr)
- NVIDIA GB200 NVL72 (contact us)
- NVIDIA GB300 NVL72 (contact us)
Sandbox
- Code Sandbox: VM sandboxes for large development environments ($0.0446/vCPU/hr, $0.0149/GiB RAM/hr)
- Code Interpreter: Execute LLM-generated code securely via API ($0.03/session)
Storage
- Shared Filesystem ($0.16/GiB/month)
- High-bandwidth, parallel filesystem colocated with compute
Fine-Tuning
- Supervised Fine-Tuning (LoRA)
- Supervised Fine-Tuning (Full Fine-Tuning)
- Direct Preference Optimization (LoRA)
- Direct Preference Optimization (Full Fine-Tuning)
- Standard pricing for models up to 100B parameters
- Specialized pricing for DeepSeek, GLM, Kimi, Llama 4, Qwen3, and other large models
- Minimum charge per job: $4.00 (standard)
Copy.ai vs Together AI FAQ
- Which one is cheaper?
- One or both use custom pricing, so it depends on your specific needs.
- Can I use either one for free?
- Neither has a free plan.
- How do they charge?
- Different approach here. Copy.ai uses per-seat pricing, while Together AI goes with usage-based. That changes the math depending on your team size and usage.
- Which one is a better deal?
- Depends on what you need. Copy.ai: They're not competing on price — $12K/yr to start on team plans puts them squarely in the mid-market SaaS budget conversation, closer to Jasper Business or Writer than to cheap AI writing tools. They're clearly targeting revenue teams at growth-stage and enterprise companies, not freelancers or SMBs. Together AI: Together AI is pitching itself as the serious infrastructure layer for AI builders — not the cheapest (Replicate or self-hosting can undercut on specific models), but more flexible and enterprise-ready than most managed inference APIs. At $5.49/GPU/hr for H100 dedicated, they're competitive with CoreWeave and Lambda Labs while bundling more managed services around it.
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