Cerebras

Through their groundbreaking wafer-scale chip design, Cerebras provides the fastest AI inference capabilities globally. In contrast to conventional GPUs that transfer model weights from external memory, Cerebras maintains complete models directly on-chip, removing bandwidth constraints and reaching speeds of up to 2,600 tokens per second—frequently 20x faster than GPUs.

Website: https://cloud.cerebras.ai/

Obtaining Your API Key

1. Account Access: Navigate to Cerebras Cloud and register for an account or log into your existing one.
2. Locate API Keys: Find the API keys area within your dashboard.
3. Generate Key: Create a new API key and assign it a meaningful name (such as "Sypha").
4. Secure Your Key: Copy the API key without delay. Keep it in a safe location.

Available Models

The following Cerebras models are compatible with Sypha:

• zai-glm-4.6 - Versatile general purpose model achieving 1,500 tokens/s
• qwen-3-235b-a22b-instruct-2507 - Sophisticated instruction-following model
• qwen-3-235b-a22b-thinking-2507 - Reasoning model featuring step-by-step analytical thinking
• llama-3.3-70b - Meta's Llama 3.3 model performance-tuned for speed
• qwen-3-32b - Streamlined yet capable model for general applications

Setting Up Sypha

1. Access Settings: Select the settings icon (⚙️) within the Sypha panel.
2. Choose Provider: Pick "Cerebras" from the available options in the "API Provider" menu.
3. Add API Key: Insert your Cerebras API key into the designated "Cerebras API Key" input field.
4. Choose Model: Pick your preferred model from the available options in the "Model" menu.
5. (Optional) Alternative Base URL: This configuration is typically unnecessary for most users.

Cerebras's Wafer-Scale Innovation

Cerebras has fundamentally reconceived AI hardware design to address the inference speed challenge:

Wafer-Scale Design

Conventional GPUs utilize separate components for computation and memory, requiring constant transfer of model weights between them. Cerebras developed the largest AI chip in existence—a wafer-scale processor that houses complete models on-chip. No external memory dependencies, no bandwidth limitations, no delays.

Unprecedented Performance

• Up to 2,600 tokens per second - frequently 20x faster than GPUs
• Sub-second reasoning - operations that previously required minutes now execute instantaneously
• Interactive applications - reasoning models become viable for real-time engagement
• Unrestricted bandwidth - complete on-chip model storage eliminates memory constraints

The Cerebras Scaling Principle

Cerebras identified that accelerated inference produces more intelligent AI. Contemporary reasoning models produce thousands of tokens as "internal reasoning" prior to responding. On conventional hardware, this process requires excessive time for interactive applications. Cerebras delivers reasoning models with sufficient speed for practical daily use.

Uncompromised Quality

In contrast to alternative speed optimization approaches that diminish accuracy, Cerebras preserves complete model quality while achieving exceptional speed. You obtain the intelligence of leading models combined with the responsiveness of compact ones.

Explore more about Cerebras's innovation in their blog articles:

• The Cerebras Scaling Law: Faster Inference Is Smarter AI
• Introducing Cerebras Code

Cerebras Code Subscription Options

Cerebras provides dedicated subscription tiers for developers:

Code Pro ($50/month)

• Access to Qwen3-Coder featuring rapid, extensive-context completions
• Up to 24 million tokens daily
• Perfect for independent developers and part-time projects
• 3-4 hours of continuous coding daily

Code Max ($200/month)

• Support for intensive coding workflows
• Up to 120 million tokens daily
• Optimal for full-time development and multi-agent architectures
• No weekly restrictions, no IDE dependencies

Distinctive Capabilities

Free Access Tier

The qwen-3-coder-480b-free model delivers access to high-performance inference without charge—exceptional among speed-oriented providers.

Interactive Reasoning

Reasoning models such as qwen-3-235b-a22b-thinking-2507 can execute sophisticated multi-step reasoning in under one second, rendering them practical for interactive development processes.

Programming Optimization

Qwen3-Coder models are explicitly engineered for programming applications, achieving performance on par with Claude Sonnet 4 and GPT-4.1 in programming benchmarks.

Platform Independence

Functions with any OpenAI-compatible platform—Cursor, Continue.dev, Sypha, or any alternative editor supporting OpenAI endpoints.

Additional Information and Recommendations

• Performance Benefit: Cerebras excels at rendering reasoning models practical for interactive applications. Optimal for agentic workflows requiring multiple LLM interactions.
• Free Tier: Begin with the complimentary model to experience Cerebras performance before transitioning to paid subscriptions.
• Context Windows: Models accommodate context windows spanning from 64K to 128K tokens for incorporating substantial code context.
• Rate Limits: Accommodating rate limits engineered for development workflows. Consult your dashboard for present limitations.
• Pricing: Competitive pricing structure with notable speed benefits. Visit Cerebras Cloud for current rates.
• Interactive Applications: Perfect for applications where AI response latency is critical—code generation, debugging, and interactive development.