Copy.ai vs Lambda 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 Lambda
Starts at $29/mo Custom
Number of plans 5 22
Free plan
Free trial
Pricing model per-seat usage-based

Chat

$29/mo
  • 5 Seat
  • Unlimited Words in Chat
  • Unlimited Chat Projects
  • Access to OpenAI, Anthropic, and Gemini models

Growth

$1000/mo
  • 75 Seats
  • Unlimited Words in Chat
  • 20K Workflow Credits/Mo

Expansion

$2000/mo
  • 150 Seats
  • Unlimited Words in Chat
  • 45K Workflow Credits/Mo

Scale

$3000/mo
  • 200 Seats
  • Unlimited Words in Chat
  • 75K Workflow Credits/Mo

Enterprise

Custom
  • Guided Jumpstart Implementation
  • API Access & Bulk Workflow Runs
  • 20+ Tech Integrations & API Access
  • Unlimited Customizable Workflows
  • Designated Account & Support Team
  • Enterprise Grade Security Protocols

NVIDIA B200 SXM6 (8x)

Custom
  • VRAM/GPU: 180 GB
  • vCPUs: 208
  • RAM: 2900 GiB
  • Storage: 22 TiB SSD

NVIDIA H100 SXM (8x)

Custom
  • VRAM/GPU: 80 GB
  • vCPUs: 208
  • RAM: 1800 GiB
  • Storage: 22 TiB SSD

NVIDIA A100 SXM 80GB (8x)

Custom
  • VRAM/GPU: 80 GB
  • vCPUs: 240
  • RAM: 1800 GiB
  • Storage: 19.5 TiB SSD

NVIDIA A100 SXM 40GB (8x)

Custom
  • VRAM/GPU: 40 GB
  • vCPUs: 124
  • RAM: 1800 GiB
  • Storage: 5.8 TiB SSD

NVIDIA Tesla V100 (8x)

Custom
  • VRAM/GPU: 16 GB
  • vCPUs: 88
  • RAM: 448 GiB
  • Storage: 5.8 TiB SSD

NVIDIA B200 SXM6 (4x)

Custom
  • VRAM/GPU: 180 GB
  • vCPUs: 104
  • RAM: 1440 GiB
  • Storage: 11 TiB SSD

NVIDIA H100 SXM (4x)

Custom
  • VRAM/GPU: 80 GB
  • vCPUs: 104
  • RAM: 900 GiB
  • Storage: 11 TiB SSD

NVIDIA A100 PCIe (4x)

Custom
  • VRAM/GPU: 40 GB
  • vCPUs: 120
  • RAM: 900 GiB
  • Storage: 1 TiB SSD

NVIDIA A6000 (4x)

Custom
  • VRAM/GPU: 48 GB
  • vCPUs: 56
  • RAM: 400 GiB
  • Storage: 1 TiB SSD

NVIDIA B200 SXM6 (2x)

Custom
  • VRAM/GPU: 180 GB
  • vCPUs: 52
  • RAM: 720 GiB
  • Storage: 5.5 TiB SSD

NVIDIA H100 SXM (2x)

Custom
  • VRAM/GPU: 80 GB
  • vCPUs: 52
  • RAM: 450 GiB
  • Storage: 5.5 TiB SSD

NVIDIA A100 PCIe (2x)

Custom
  • VRAM/GPU: 40 GB
  • vCPUs: 60
  • RAM: 450 GiB
  • Storage: 1 TiB SSD

NVIDIA A6000 (2x)

Custom
  • VRAM/GPU: 48 GB
  • vCPUs: 28
  • RAM: 200 GiB
  • Storage: 1 TiB SSD

NVIDIA B200 SXM6 (1x)

Custom
  • VRAM/GPU: 180 GB
  • vCPUs: 26
  • RAM: 360 GiB
  • Storage: 2.75 TiB SSD

NVIDIA GH200 (1x)

Custom
  • VRAM/GPU: 96 GB
  • vCPUs: 64
  • RAM: 432 GiB
  • Storage: 4 TiB SSD

NVIDIA H100 SXM (1x)

Custom
  • VRAM/GPU: 80 GB
  • vCPUs: 26
  • RAM: 225 GiB
  • Storage: 2.75 TiB SSD

NVIDIA H100 PCIe (1x)

Custom
  • VRAM/GPU: 80 GB
  • vCPUs: 26
  • RAM: 225 GiB
  • Storage: 1 TiB SSD

NVIDIA A100 SXM (1x)

Custom
  • VRAM/GPU: 40 GB
  • vCPUs: 30
  • RAM: 220 GiB
  • Storage: 512 GiB SSD

NVIDIA A100 PCIe (1x)

Custom
  • VRAM/GPU: 40 GB
  • vCPUs: 30
  • RAM: 225 GiB
  • Storage: 512 GiB SSD

NVIDIA A10 (1x)

Custom
  • VRAM/GPU: 24 GB
  • vCPUs: 30
  • RAM: 226 GiB
  • Storage: 1.3 TiB SSD

NVIDIA A6000 (1x)

Custom
  • VRAM/GPU: 48 GB
  • vCPUs: 14
  • RAM: 100 GiB
  • Storage: 512 GiB SSD

NVIDIA Quadro RTX 6000 (1x)

Custom
  • VRAM/GPU: 24 GB
  • vCPUs: 14
  • RAM: 46 GiB
  • Storage: 512 GiB SSD

Copy.ai vs Lambda 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 Lambda 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. Lambda: Lambda positions as a serious alternative to hyperscalers (AWS, GCP, Azure) for ML teams who want raw GPU access without cloud markup or complexity. They're not the cheapest bare-metal option, but the no-egress-fees policy and 1-Click Clusters are a direct shot at teams burned by AWS networking costs.

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