Modal vs Lambda Labs: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Modal and Lambda Labs. Updated July 2026.
Provider Overview
Strengths & Best For
Modal is a serverless GPU cloud purpose-built for AI workloads, offering per-second billing with zero idle cost. Live pricing: B300 $7.10/hr ($0.001972/sec), B200 $6.25/hr ($0.001736/sec), H200 SXM $4.54/hr ($0.001261/sec), H100 SXM5 $3.95/hr ($0.001097/sec), RTX PRO 6000 $3.03/hr ($0.000842/sec), A100 80GB $2.50/hr ($0.000694/sec), A100 40GB $2.10/hr ($0.000583/sec), L40S $1.95/hr ($0.000542/sec), A10 $1.10/hr, L4 $0.80/hr, T4 $0.59/hr. Starter plan: $30/month free compute. Team plan: $250/month + $100 free compute. Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand. Python-native SDK. SOC 2 and HIPAA compliant. Runtime conference Oct 1 in SF.
- B300 $7.10/hr, B200 $6.25/hr, H200 $4.54/hr — competitive Blackwell/Hopper pricing
- Per-second billing with zero idle cost — no minimum hours
- Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand
- Python-native SDK — no infra management
- Starter plan: $30/month free compute included
- SOC 2, HIPAA, data residency controls
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Lambda (formerly Lambda Labs) is a purpose-built AI supercomputer cloud offering NVIDIA Vera Rubin NVL72, GB300 NVL72, HGX B300, HGX B200, and H200 GPU clusters for large-scale training and inference. Superclusters run on single-tenant infrastructure with NVIDIA Quantum-2 InfiniBand; 1-Click Clusters™ provide production-ready B200 and H100 clusters optimized for distributed workloads; on-demand Instances spin up in minutes for prototyping. SOC 2 Type II certified with single-tenant, shared-nothing architecture. Trusted by leading AI labs and enterprises for frontier model training.
- Vera Rubin NVL72 and GB300 NVL72 supercomputers
- 1-Click Clusters™ for production-ready B200/H100 distributed workloads
- Single-tenant, shared-nothing architecture
- SOC 2 Type II, caged clusters with hardware-level isolation
- Co-engineering support from infrastructure experts
- No egress fees
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Live GPU Pricing
Region Coverage
Popular Comparisons
Modal — specialist provider
Modal is a serverless GPU cloud purpose-built for AI workloads, offering per-second billing with zero idle cost. Live pricing: B300 $7.10/hr ($0.001972/sec), B200 $6.25/hr ($0.001736/sec), H200 SXM $4.54/hr ($0.001261/sec), H100 SXM5 $3.95/hr ($0.001097/sec), RTX PRO 6000 $3.03/hr ($0.000842/sec), A100 80GB $2.50/hr ($0.000694/sec), A100 40GB $2.10/hr ($0.000583/sec), L40S $1.95/hr ($0.000542/sec), A10 $1.10/hr, L4 $0.80/hr, T4 $0.59/hr. Starter plan: $30/month free compute. Team plan: $250/month + $100 free compute. Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand. Python-native SDK. SOC 2 and HIPAA compliant. Runtime conference Oct 1 in SF.
Lambda Labs — specialist provider
Lambda (formerly Lambda Labs) is a purpose-built AI supercomputer cloud offering NVIDIA Vera Rubin NVL72, GB300 NVL72, HGX B300, HGX B200, and H200 GPU clusters for large-scale training and inference. Superclusters run on single-tenant infrastructure with NVIDIA Quantum-2 InfiniBand; 1-Click Clusters™ provide production-ready B200 and H100 clusters optimized for distributed workloads; on-demand Instances spin up in minutes for prototyping. SOC 2 Type II certified with single-tenant, shared-nothing architecture. Trusted by leading AI labs and enterprises for frontier model training.
Billing model comparison
Modal uses a Per-second serverless billing model with a minimum commitment of None. Lambda Labs uses On-demand, Reserved (1yr/3yr), Committed clusters billing with a None (on-demand Instances) minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
Modal is best suited for: ML engineers wanting zero-ops GPU infrastructure, Serverless LLM inference and multi-modal workloads, RL rollouts and AI agent sandboxes at scale, Teams wanting one platform from prototype to production. Its key strengths are b300 $7.10/hr, b200 $6.25/hr, h200 $4.54/hr — competitive blackwell/hopper pricing, per-second billing with zero idle cost — no minimum hours, multi-node training up to 128 b200s with 3,200 gbps infiniband. Lambda Labs is best suited for: Frontier model training at scale, Enterprise AI labs needing dedicated supercomputers, Teams wanting managed clusters with expert co-engineering, Government and regulated industry AI workloads. Its key strengths are vera rubin nvl72 and gb300 nvl72 supercomputers, 1-click clusters™ for production-ready b200/h100 distributed workloads, single-tenant, shared-nothing architecture. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
Modal offers Community → Enterprise support across 3 regions (US-East, US-West, EU). Lambda Labs offers Community → Enterprise support across 4 regions (US-East, US-West, EU-Central and 1 more). Lambda Labs's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Modal vs Lambda Labs
Modal was founded in 2021 and is headquartered in New York, NY. Lambda Labs was founded in 2012 and is headquartered in San Francisco, CA. Lambda Labs has 9 years more operational history than Modal, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.