How Cerebras Inference’s scores are calculated
The full audit trail, recomputed from the verdict data at build time through the same code that produced the leaderboard: verdict × quality × story weight per cell, cells sum to dimension scores, dimensions blend into the PA Score. Every number on the product page is reproducible from this page alone; for why the formula looks like this, see the methodology.
verdict factors: full ×1.0 · partial ×0.6 · disputed ×0.3 · none ×0.0 · n/a excluded from both sides · cell points = weight × quality × factor · cell max = weight × 10
PA Score26/100
Agent-ready 35.7 × 0.30 = 10.71
API quality 12.0 × 0.20 = 2.40
Openness 10.3 × 0.20 = 2.06
Built-in AI 5.1 × 0.15 = 0.76
Automation 70.0 × 0.15 = 10.50
(10.71 + 2.40 + 2.06 + 0.76 + 10.50) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 26.44 ÷ 1.00 = 26.4
Scores are stored to 1 decimal; the product page’s pills round to whole numbers for display. Each dimension below shows the stories, verdicts, and cited evidence behind its number.
Agent-ready35.7/100×0.30 of the PA blend
Outside-in: can YOUR agent reach and drive this product — API, MCP, CLI, headless runs, agent docs.
Point an agent at llms.txt or agent-oriented docsweight 2
2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max
- [probe] https://inference-docs.cerebras.ai/llms.txt“PROBE llms.txt: HTTP 200 at https://inference-docs.cerebras.ai/llms.txt # Cerebras Inference - [Quickstart](https://inference-docs.cerebras.ai/quickstart.md): Make your first Cerebras API cal”
- [probe] https://inference-docs.cerebras.ai/quickstart.md“PROBE docs-md: HTTP 200 at https://inference-docs.cerebras.ai/quickstart.md > ## Documentation Index > Fetch the complete documentation index at: https://inference-docs.cerebras.ai/llms.txt > Use”
- [claimed-docs] https://inference-docs.cerebras.ai/quickstart“Make your first Cerebras API call in just minutes.”
Run the product headlessly / in CI for automationweight 2
2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max
- [claimed-docs] https://inference-docs.cerebras.ai/quickstart“Make your first Cerebras API call in just minutes.”
- [claimed-docs] https://inference-docs.cerebras.ai/resources/openai.md“Existing applications can use Cerebras by changing the API key, base URL, and model ID.”
- [claimed-docs] https://inference-docs.cerebras.ai/capabilities/batch.md“The Batch API lets you process groups of requests asynchronously, making it perfect for workloads where you don't need immediate results”
- [claimed-docs] https://inference-docs.cerebras.ai/quickstart“pip install --upgrade cerebras_cloud_sdk”
- [github] https://github.com/Cerebras/cerebras-cloud-sdk-node“This library provides convenient access to the Cerebras REST API from server-side TypeScript or JavaScript.”
- [community] https://hn.algolia.com/api/v1/items/49554520“The DFlash2 draft model we're using was trained on a lot of code, so if you use it in a coding agent you'll probably notice it run a lot faster (we've seen it break 300 tok/s).”
- [community] https://news.ycombinator.com/item?id=41941883“Here's a video of that running, it's very speedy - used llm-cerebras plugin with an API key from cloud.cerebras.ai, no waiting list needed at the time.”
- [community] https://news.ycombinator.com/item?id=44762959“It hits the request per minute limit instantly and then you wait a minute. (API Error: 422 ... wrong_api_format when integrating with claude-code-router)”
Plug MCP servers into this product so it can use their toolsweight 3
3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Connect an agent via an official MCP serverweight 3
3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Use an official CLIweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
- [claimed-docs] https://inference-docs.cerebras.ai/quickstart“pip install --upgrade cerebras_cloud_sdk”
- [github] https://github.com/Cerebras/cerebras-cloud-sdk-node“This library provides convenient access to the Cerebras REST API from server-side TypeScript or JavaScript.”
- [claimed-docs] https://inference-docs.cerebras.ai/quickstart“Use the playground in the Cloud Console — no key or install needed.”
Drive the product through a documented public APIweight 3
3 (weight) × 9 (quality) × 1.0 (full) = 27.0 of 30 max
- [claimed-docs] https://inference-docs.cerebras.ai/quickstart“Make your first Cerebras API call in just minutes.”
- [claimed-docs] https://inference-docs.cerebras.ai/resources/openai.md“Existing applications can use Cerebras by changing the API key, base URL, and model ID.”
- [claimed-docs] https://www.cerebras.ai/inference“OpenAI API compatibility lets developers build on Cerebras with just two code changes.”
- [claimed-docs] https://inference-docs.cerebras.ai/capabilities/streaming.md“The Cerebras API supports streaming responses, which send messages back in chunks and display them incrementally as the model generates them.”
- [claimed-docs] https://inference-docs.cerebras.ai/capabilities/structured-outputs.md“Structured Outputs constrains model responses to a JSON schema so applications can process generated data reliably.”
- [claimed-docs] https://inference-docs.cerebras.ai/capabilities/tool-use.md“Tool calling, also known as tool use or function calling, lets a model request functions that your application defines.”
- [claimed-docs] https://inference-docs.cerebras.ai/capabilities/batch.md“The Batch API lets you process groups of requests asynchronously, making it perfect for workloads where you don't need immediate results”
- [github] https://github.com/Cerebras/cerebras-cloud-sdk-node“This library provides convenient access to the Cerebras REST API from server-side TypeScript or JavaScript.”
- [probe] https://api.cerebras.ai/v1/models“PROBE models-endpoint (2026-09-04): GET https://api.cerebras.ai/v1/models without a key returned HTTP 403 ({"detail":"Not authenticated"}) — the OpenAI-style models endpoint is live and speaks JSON, but enumerating the catalog requires an API key.”
- [probe] https://inference-docs.cerebras.ai/llms.txt“PROBE llms.txt: HTTP 200 at https://inference-docs.cerebras.ai/llms.txt # Cerebras Inference - [Quickstart](https://inference-docs.cerebras.ai/quickstart.md): Make your first Cerebras API cal”
- [community] https://news.ycombinator.com/item?id=44762959“I've been waiting on this for a LONG time. Integration with Cursor when Cerebras released their earlier models was patchy at best, even through openrouter. It's nice to finally see official support.”
- [community] https://news.ycombinator.com/item?id=41941883“Here's a video of that running, it's very speedy - used llm-cerebras plugin with an API key from cloud.cerebras.ai, no waiting list needed at the time.”
- [probe] https://inference-docs.cerebras.ai/openapi.json“PROBE openapi: all candidate paths 404 (https://inference-docs.cerebras.ai/openapi.json, https://inference-docs.cerebras.ai/swagger.json, https://inference-docs.cerebras.ai/api/openapi.json, https://inference-docs.cerebras.ai/.well-known/openapi.json)”
Issue scoped/least-privilege API credentials for an agentweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
- [claimed-docs] https://inference-docs.cerebras.ai/quickstart“Make your first Cerebras API call in just minutes.”
- [claimed-docs] https://inference-docs.cerebras.ai/resources/openai.md“Existing applications can use Cerebras by changing the API key, base URL, and model ID.”
- [probe] https://api.cerebras.ai/v1/models“PROBE models-endpoint (2026-09-04): GET https://api.cerebras.ai/v1/models without a key returned HTTP 403 ({"detail":"Not authenticated"}) — the OpenAI-style models endpoint is live and speaks JSON, but enumerating the catalog requires an API key.”
Build against official SDKsweight 2
2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max
- [claimed-docs] https://inference-docs.cerebras.ai/quickstart“pip install --upgrade cerebras_cloud_sdk”
- [github] https://github.com/Cerebras/cerebras-cloud-sdk-node“This library provides convenient access to the Cerebras REST API from server-side TypeScript or JavaScript.”
- [github] https://github.com/Cerebras/cerebras-cloud-sdk-node“This SDK has a mechanism that sends a few requests to `/v1/tcp_warming` upon construction to reduce the TTFT.”
- [claimed-docs] https://inference-docs.cerebras.ai/resources/openai.md“Existing applications can use Cerebras by changing the API key, base URL, and model ID.”
- [claimed-docs] https://www.cerebras.ai/inference“OpenAI API compatibility lets developers build on Cerebras with just two code changes.”
- [claimed-docs] https://inference-docs.cerebras.ai/capabilities/tool-use.md“Tool calling, also known as tool use or function calling, lets a model request functions that your application defines.”
- [claimed-docs] https://inference-docs.cerebras.ai/capabilities/streaming.md“The Cerebras API supports streaming responses, which send messages back in chunks and display them incrementally as the model generates them.”
- [claimed-docs] https://inference-docs.cerebras.ai/capabilities/structured-outputs.md“Structured Outputs constrains model responses to a JSON schema so applications can process generated data reliably.”
- [community] https://news.ycombinator.com/item?id=44762959“I've been waiting on this for a LONG time. Integration with Cursor when Cerebras released their earlier models was patchy at best, even through openrouter. It's nice to finally see official support.”
- [community] https://hn.algolia.com/api/v1/items/49554520“The DFlash2 draft model we're using was trained on a lot of code, so if you use it in a coding agent you'll probably notice it run a lot faster (we've seen it break 300 tok/s).”
Subscribe to events via webhooksweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Agent-ready = 75.0 ÷ 210 × 100 = 35.7
API quality12.0/100×0.20 of the PA blend
The programmable surface once an agent is there — machine-readable spec, interactive docs, sandbox, versioning discipline.
Explore an interactive API reference with runnable examplesweight 2
2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max
- [claimed-docs] https://inference-docs.cerebras.ai/quickstart“Make your first Cerebras API call in just minutes.”
- [claimed-docs] https://inference-docs.cerebras.ai/quickstart“Use the playground in the Cloud Console — no key or install needed.”
- [claimed-docs] https://inference-docs.cerebras.ai/resources/openai.md“Existing applications can use Cerebras by changing the API key, base URL, and model ID.”
- [probe] https://inference-docs.cerebras.ai/openapi.json“PROBE openapi: all candidate paths 404 (https://inference-docs.cerebras.ai/openapi.json, https://inference-docs.cerebras.ai/swagger.json, https://inference-docs.cerebras.ai/api/openapi.json, https://inference-docs.cerebras.ai/.well-known/openapi.json)”
- [probe] https://inference-docs.cerebras.ai/llms.txt“PROBE llms.txt: HTTP 200 at https://inference-docs.cerebras.ai/llms.txt # Cerebras Inference - [Quickstart](https://inference-docs.cerebras.ai/quickstart.md): Make your first Cerebras API cal”
Download a machine-readable API spec (OpenAPI or equivalent)weight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
- [probe] https://inference-docs.cerebras.ai/openapi.json“PROBE openapi: all candidate paths 404 (https://inference-docs.cerebras.ai/openapi.json, https://inference-docs.cerebras.ai/swagger.json, https://inference-docs.cerebras.ai/api/openapi.json, https://inference-docs.cerebras.ai/.well-known/openapi.json)”
Test against a sandbox environment without touching production dataweight 1
1 (weight) × 4 (quality) × 0.6 (partial) = 2.4 of 10 max
- [claimed-docs] https://inference-docs.cerebras.ai/quickstart“Use the playground in the Cloud Console — no key or install needed.”
- [claimed-docs] https://www.cerebras.ai/pricing“Get started with $5 in free credits after making an account”
- [claimed-docs] https://www.cerebras.ai/inference“Get started with $5 in free credit after creating an account. Prototype prompts, agents, and real-time apps before you spend a dollar.”
Rely on versioned APIs with a documented deprecation policyweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
- [probe] https://inference-docs.cerebras.ai/openapi.json“PROBE openapi: all candidate paths 404 (https://inference-docs.cerebras.ai/openapi.json, https://inference-docs.cerebras.ai/swagger.json, https://inference-docs.cerebras.ai/api/openapi.json, https://inference-docs.cerebras.ai/.well-known/openapi.json)”
- [claimed-docs] https://inference-docs.cerebras.ai/resources/openai.md“Existing applications can use Cerebras by changing the API key, base URL, and model ID.”
- [claimed-docs] https://www.cerebras.ai/inference“OpenAI API compatibility lets developers build on Cerebras with just two code changes.”
API quality = 8.4 ÷ 70 × 100 = 12.0
Openness10.3/100×0.20 of the PA blend
Can you leave, inspect, or self-host — data export, open source, portability.
Do everything through the API that I can do in the UIweight 2
2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max
- [claimed-docs] https://inference-docs.cerebras.ai/quickstart“Use the playground in the Cloud Console — no key or install needed.”
- [claimed-docs] https://inference-docs.cerebras.ai/resources/openai.md“Existing applications can use Cerebras by changing the API key, base URL, and model ID.”
- [claimed-docs] https://www.cerebras.ai/inference“OpenAI API compatibility lets developers build on Cerebras with just two code changes.”
- [claimed-docs] https://inference-docs.cerebras.ai/dedicated/overview.md“A dedicated endpoint is a private, provisioned instance of the Cerebras Inference service reserved exclusively for your organization.”
- [claimed-docs] https://inference-docs.cerebras.ai/dedicated/overview.md“Deploy your custom fine-tuned models alongside standard model variants.”
- [claimed-docs] https://inference-docs.cerebras.ai/dedicated/overview.md“Your endpoint runs on reserved capacity that is not shared with other customers, so your performance is never impacted by other workloads.”
- [community] https://news.ycombinator.com/item?id=42178761“They have a waitlist for trying their API. You have to be a bit skeptical when a company makes claims but does not offer their services to buy.”
- [community] https://news.ycombinator.com/item?id=41369586“Very interested in playing with their hardware and cloud. Also I wonder if it's possible to try cloud without contacting their sales.”
Export all of my data in open formats and leaveweight 3
3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Read the product's source under an open licenseweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Self-host the core productweight 3
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Openness = 7.2 ÷ 70 × 100 = 10.3
Built-in AI5.1/100×0.15 of the PA blend
Inside-out: how agentic the product itself is for its users — built-in assistants, autonomous features.
Get AI-generated insights and suggestions from my data inside the productweight 2
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Set up automations that run autonomously in the backgroundweight 2
2 (weight) × 3 (quality) × 0.6 (partial) = 3.6 of 20 max
- [claimed-docs] https://inference-docs.cerebras.ai/capabilities/batch.md“The Batch API lets you process groups of requests asynchronously, making it perfect for workloads where you don't need immediate results”
Delegate tasks to a built-in AI assistant inside the productweight 3
3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Operate the product with natural-language commandsweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Built-in AI = 3.6 ÷ 70 × 100 = 5.1
Automation70.0/100×0.15 of the PA blend
Depth of automation primitives — rules, scheduling, bulk operations, webhooks.
Perform bulk operations across many items at onceweight 2
2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max
- [claimed-docs] https://inference-docs.cerebras.ai/capabilities/batch.md“The Batch API lets you process groups of requests asynchronously, making it perfect for workloads where you don't need immediate results”
- [claimed-docs] https://inference-docs.cerebras.ai/support/rate-limits.md“Cached tokens don't count toward your uncached TPM limit, so a higher cache hit rate lets you process far more total tokens within the same uncached limit.”
- [claimed-docs] https://inference-docs.cerebras.ai/support/rate-limits.md“a higher cache hit rate lets you process far more total tokens within the same uncached limit”
- [claimed-docs] https://inference-docs.cerebras.ai/support/rate-limits.md“Improving your cache hit rate lets the same uncached limit serve significantly more total tokens”
Define rules that trigger actions automatically on eventsweight 3
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Schedule recurring jobs or workflowsweight 2
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Version, review, and roll back my automationsweight 1
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Automation = 14.0 ÷ 20 × 100 = 70.0