Tool A
Cerebras Inference
World’s fastest AI inference delivering 2,000+ tokens/sec on Llama 3

Choose this if…
Cerebras Inference
- 1Cerebras Inference fits your category use case
- 2You prefer their ecosystem & integrations
Choose this if…
Modal Labs
- 1You need Customizable
- 2You need Multimodal
- 3You need Image Input
Overview
Cerebras Inference is the world's fastest AI inference platform, powered by the revolutionary Cerebras CS-3 Wafer-Scale Engine (WSE-3). Delivering unprecedented speeds exceeding 2,100 tokens per second on Llama 3.1 8B and over 450 tokens per second on Llama 3.1 70B, Cerebras runs AI inference up to 20x faster than traditional NVIDIA GPU clusters. By replacing traditional GPU memory bandwidth bottlenecks with 44 Gigabytes of on-chip SRAM across a monolithic silicon wafer, Cerebras achieves instantaneous response times that transform conversational AI, real-time code synthesis, and multi-step agentic reflection loops into fluid, zero-latency interactions.
Traditional GPUs are limited by external HBM/DRAM bandwidth, forcing token generation to stall while weights are retrieved across PCIe buses. The Cerebras WSE-3 features 900,000 AI-optimized compute cores and 21 Petabytes/sec of memory bandwidth directly on a single silicon wafer. Cerebras Inference provides a 100% OpenAI-compatible API, allowing developers to switch their application endpoints with zero code modifications. It supports streaming completions, tool calling, JSON structured schemas, and massive token context lengths with guaranteed instantaneous time-to-first-token.
Modal Labs is a high-performance serverless cloud platform that enables AI engineers and developers to run Python code in the cloud with instant access to thousands of CPUs, GPUs, and persistent network volumes. Founded by former Spotify CTO Erik Bernhardsson, Modal reimagines cloud computing with sub-second cold starts and zero infrastructure configuration. With Modal, you define your container image, dependencies, and GPU hardware directly inside standard Python code using simple decorators (e.g. `@app.function(gpu="H100")`). Modal handles container building, volume mounting, GPU scheduling, and automatic scaling down to zero in milliseconds, making it the premier choice for running generative AI models, ComfyUI video pipelines, and massive parallel batch jobs.
Modal operates a custom container runtime built in Rust that bypasses standard Docker daemon overhead, allowing container images to spawn in under 900 milliseconds. Its distributed filesystem mounts shared NetworkFileSystem (NFS) volumes across thousands of simultaneous workers with near-local NVMe read speeds. Modal supports NVIDIA T4, L4, A10G, A100 (40GB/80GB), and H100 SXM5 GPUs. Developers can attach web endpoints (`@app.web_endpoint`), schedule recurring cron tasks, execute distributed map-reduce jobs across tens of thousands of cores, and monitor live streaming logs via the interactive web console.
Features Comparison
22 totalPricing & Plans
Free developer tier with 1M tokens/day access to Llama 3.1 8B and 70B models.
Developer Pro starts at $0.10 / 1M tokens for Llama 3.1 8B and $0.60 / 1M tokens for Llama 3.1 70B with dedicated rate limits.
$30 free compute credit every month for all users with full access to GPUs and CPUs.
Pay-per-second serverless execution: T4 at $0.59/hr, A100 (40GB) at $2.10/hr, H100 (80GB) at $4.55/hr.
Pros & Cons
Pros
Unmatched inference velocity: 2,100+ tokens/sec on 8B models and 450+ tokens/sec on 70B
Up to 20x faster than NVIDIA H100 GPU clusters with sub-10ms time-to-first-token
Extremely generous free tier (1,000,000 tokens free per day)
100% OpenAI API compatible with native streaming and function calling
Transforms real-time voice agents and multi-step autonomous workflows into instant responses
Cons
Dedicated to open-weights models supported on the Wafer-Scale Engine
Context windows currently optimized for 8k–32k tokens depending on model architecture
Pros
Sub-second container cold starts with custom Rust runtime
Define entire container environments and hardware requirements in pure Python
Generous $30/month free compute credits for every developer account
Instant access to massive fleets of NVIDIA H100, A100, and L4 GPUs
True scale-to-zero per-second billing eliminating idle infrastructure costs
Cons
Requires Python development experience
Proprietary cloud platform runtime
Use Cases
The Verdict
Cerebras Inference
6/22 features · ⭐4.9
Cerebras Inference is the world's fastest AI inference platform, powered by the revolutionary Cerebras CS-3 Wafer-Scale Engine (WSE-3). Delivering unprecedented…
Modal Labs
15/22 features · ⭐4.9
Modal Labs is a high-performance serverless cloud platform that enables AI engineers and developers to run Python code in the cloud with instant access to thous…
Both Cerebras Inference and Modal Labs are capable AI tools serving distinct use cases. Modal Labs leads on raw feature breadth (15 vs 6), making it a stronger choice if you need maximum capability.
Frequently Asked Questions
What is the main difference between Cerebras Inference and Modal Labs?
Cerebras Inference — "World’s fastest AI inference delivering 2,000+ tokens/sec on Llama 3" — focuses on data-ai, code-ai, while Modal Labs — "Serverless cloud for AI models, batch jobs, and GPU workloads in Python" — targets automation-ai, data-ai. The key differences lie in their feature sets and pricing models.
Is Cerebras Inference free to use?
Yes, Cerebras Inference offers a free tier. Free developer tier with 1M tokens/day access to Llama 3.1 8B and 70B models.
Is Modal Labs free to use?
Yes, Modal Labs offers a free tier. $30 free compute credit every month for all users with full access to GPUs and CPUs.
Which is better: Cerebras Inference or Modal Labs?
It depends on your use case. Cerebras Inference is rated ⭐4.9 and is best suited for developers, ai engineers, agent builders, high-frequency ai platforms. Modal Labs is rated ⭐4.9 and is ideal for ai engineers, data scientists, backend developers, ai startups. Use this comparison to evaluate features that matter to your workflow.
Does Cerebras Inference have an API?
Yes, Cerebras Inference provides API access for developers and integrations.
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