Anthropic 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.
Free
- Chat on web, iOS, Android, and on your desktop
- Generate code and visualize data
- Write, edit, and create content
- Ability to search the web
- Memory across conversations
- Create files and execute code
- Unlock more from Claude with desktop extensions
- Connect Slack and Google Workspace services
- Integrate any context or tool through connectors with remote MCP
- Extended thinking for complex work
Pro
- More usage*
- Includes Claude Code
- Includes Claude Cowork
- Includes Claude Design
- Includes Claude Science
- Access to unlimited projects to organize chats and documents
- Access to Research
- Ability to use more Claude models
- Claude for Microsoft 365
Max
- Choose 5x or 20x more usage than Pro*
- Higher output limits for all tasks
- Early access to advanced Claude features
- Priority access at high traffic times
NVIDIA B200 SXM6 (8x)
- VRAM/GPU: 180 GB
- vCPUs: 208
- RAM: 2900 GiB
- Storage: 22 TiB SSD
NVIDIA H100 SXM (8x)
- VRAM/GPU: 80 GB
- vCPUs: 208
- RAM: 1800 GiB
- Storage: 22 TiB SSD
NVIDIA A100 SXM 80GB (8x)
- VRAM/GPU: 80 GB
- vCPUs: 240
- RAM: 1800 GiB
- Storage: 19.5 TiB SSD
NVIDIA A100 SXM 40GB (8x)
- VRAM/GPU: 40 GB
- vCPUs: 124
- RAM: 1800 GiB
- Storage: 5.8 TiB SSD
NVIDIA Tesla V100 (8x)
- VRAM/GPU: 16 GB
- vCPUs: 88
- RAM: 448 GiB
- Storage: 5.8 TiB SSD
NVIDIA B200 SXM6 (4x)
- VRAM/GPU: 180 GB
- vCPUs: 104
- RAM: 1440 GiB
- Storage: 11 TiB SSD
NVIDIA H100 SXM (4x)
- VRAM/GPU: 80 GB
- vCPUs: 104
- RAM: 900 GiB
- Storage: 11 TiB SSD
NVIDIA A100 PCIe (4x)
- VRAM/GPU: 40 GB
- vCPUs: 120
- RAM: 900 GiB
- Storage: 1 TiB SSD
NVIDIA A6000 (4x)
- VRAM/GPU: 48 GB
- vCPUs: 56
- RAM: 400 GiB
- Storage: 1 TiB SSD
NVIDIA B200 SXM6 (2x)
- VRAM/GPU: 180 GB
- vCPUs: 52
- RAM: 720 GiB
- Storage: 5.5 TiB SSD
NVIDIA H100 SXM (2x)
- VRAM/GPU: 80 GB
- vCPUs: 52
- RAM: 450 GiB
- Storage: 5.5 TiB SSD
NVIDIA A100 PCIe (2x)
- VRAM/GPU: 40 GB
- vCPUs: 60
- RAM: 450 GiB
- Storage: 1 TiB SSD
NVIDIA A6000 (2x)
- VRAM/GPU: 48 GB
- vCPUs: 28
- RAM: 200 GiB
- Storage: 1 TiB SSD
NVIDIA B200 SXM6 (1x)
- VRAM/GPU: 180 GB
- vCPUs: 26
- RAM: 360 GiB
- Storage: 2.75 TiB SSD
NVIDIA GH200 (1x)
- VRAM/GPU: 96 GB
- vCPUs: 64
- RAM: 432 GiB
- Storage: 4 TiB SSD
NVIDIA H100 SXM (1x)
- VRAM/GPU: 80 GB
- vCPUs: 26
- RAM: 225 GiB
- Storage: 2.75 TiB SSD
NVIDIA H100 PCIe (1x)
- VRAM/GPU: 80 GB
- vCPUs: 26
- RAM: 225 GiB
- Storage: 1 TiB SSD
NVIDIA A100 SXM (1x)
- VRAM/GPU: 40 GB
- vCPUs: 30
- RAM: 220 GiB
- Storage: 512 GiB SSD
NVIDIA A100 PCIe (1x)
- VRAM/GPU: 40 GB
- vCPUs: 30
- RAM: 225 GiB
- Storage: 512 GiB SSD
NVIDIA A10 (1x)
- VRAM/GPU: 24 GB
- vCPUs: 30
- RAM: 226 GiB
- Storage: 1.3 TiB SSD
NVIDIA A6000 (1x)
- VRAM/GPU: 48 GB
- vCPUs: 14
- RAM: 100 GiB
- Storage: 512 GiB SSD
NVIDIA Quadro RTX 6000 (1x)
- VRAM/GPU: 24 GB
- vCPUs: 14
- RAM: 46 GiB
- Storage: 512 GiB SSD
Anthropic 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?
- Anthropic has a free plan. Lambda doesn't — you'll need to pay from day one.
- How do they charge?
- Different approach here. Anthropic uses flat-rate 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. Anthropic: Anthropic is matching OpenAI's ChatGPT Plus almost dollar-for-dollar at the Pro tier — this is a deliberate 'same price, better model' play targeting GPT defectors. The $100 Max tier signals they're comfortable competing with Copilot and Gemini Advanced for enterprise-adjacent power users without discounting to win. 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.
Keep tabs on both.
We'll monitor pricing changes for Anthropic and Lambda and let you know when something moves.