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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.txtPROBE 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.mdPROBE 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/quickstartMake 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/quickstartMake your first Cerebras API call in just minutes.
  • [claimed-docs] https://inference-docs.cerebras.ai/resources/openai.mdExisting applications can use Cerebras by changing the API key, base URL, and model ID.
  • [claimed-docs] https://inference-docs.cerebras.ai/capabilities/batch.mdThe 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/quickstartpip install --upgrade cerebras_cloud_sdk
  • [github] https://github.com/Cerebras/cerebras-cloud-sdk-nodeThis library provides convenient access to the Cerebras REST API from server-side TypeScript or JavaScript.
  • [community] https://hn.algolia.com/api/v1/items/49554520The 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=41941883Here'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=44762959It 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/quickstartpip install --upgrade cerebras_cloud_sdk
  • [github] https://github.com/Cerebras/cerebras-cloud-sdk-nodeThis library provides convenient access to the Cerebras REST API from server-side TypeScript or JavaScript.
  • [claimed-docs] https://inference-docs.cerebras.ai/quickstartUse 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/quickstartMake your first Cerebras API call in just minutes.
  • [claimed-docs] https://inference-docs.cerebras.ai/resources/openai.mdExisting applications can use Cerebras by changing the API key, base URL, and model ID.
  • [claimed-docs] https://www.cerebras.ai/inferenceOpenAI API compatibility lets developers build on Cerebras with just two code changes.
  • [claimed-docs] https://inference-docs.cerebras.ai/capabilities/streaming.mdThe 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.mdStructured 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.mdTool 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.mdThe 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-nodeThis library provides convenient access to the Cerebras REST API from server-side TypeScript or JavaScript.
  • [probe] https://api.cerebras.ai/v1/modelsPROBE 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.txtPROBE 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=44762959I'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=41941883Here'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.jsonPROBE 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/quickstartMake your first Cerebras API call in just minutes.
  • [claimed-docs] https://inference-docs.cerebras.ai/resources/openai.mdExisting applications can use Cerebras by changing the API key, base URL, and model ID.
  • [probe] https://api.cerebras.ai/v1/modelsPROBE 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/quickstartpip install --upgrade cerebras_cloud_sdk
  • [github] https://github.com/Cerebras/cerebras-cloud-sdk-nodeThis library provides convenient access to the Cerebras REST API from server-side TypeScript or JavaScript.
  • [github] https://github.com/Cerebras/cerebras-cloud-sdk-nodeThis 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.mdExisting applications can use Cerebras by changing the API key, base URL, and model ID.
  • [claimed-docs] https://www.cerebras.ai/inferenceOpenAI API compatibility lets developers build on Cerebras with just two code changes.
  • [claimed-docs] https://inference-docs.cerebras.ai/capabilities/tool-use.mdTool 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.mdThe 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.mdStructured Outputs constrains model responses to a JSON schema so applications can process generated data reliably.
  • [community] https://news.ycombinator.com/item?id=44762959I'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/49554520The 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/quickstartMake your first Cerebras API call in just minutes.
  • [claimed-docs] https://inference-docs.cerebras.ai/quickstartUse the playground in the Cloud Console — no key or install needed.
  • [claimed-docs] https://inference-docs.cerebras.ai/resources/openai.mdExisting applications can use Cerebras by changing the API key, base URL, and model ID.
  • [probe] https://inference-docs.cerebras.ai/openapi.jsonPROBE 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.txtPROBE 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.jsonPROBE 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/quickstartUse the playground in the Cloud Console — no key or install needed.
  • [claimed-docs] https://www.cerebras.ai/pricingGet started with $5 in free credits after making an account
  • [claimed-docs] https://www.cerebras.ai/inferenceGet 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.jsonPROBE 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.mdExisting applications can use Cerebras by changing the API key, base URL, and model ID.
  • [claimed-docs] https://www.cerebras.ai/inferenceOpenAI 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/quickstartUse the playground in the Cloud Console — no key or install needed.
  • [claimed-docs] https://inference-docs.cerebras.ai/resources/openai.mdExisting applications can use Cerebras by changing the API key, base URL, and model ID.
  • [claimed-docs] https://www.cerebras.ai/inferenceOpenAI API compatibility lets developers build on Cerebras with just two code changes.
  • [claimed-docs] https://inference-docs.cerebras.ai/dedicated/overview.mdA 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.mdDeploy your custom fine-tuned models alongside standard model variants.
  • [claimed-docs] https://inference-docs.cerebras.ai/dedicated/overview.mdYour 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=42178761They 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=41369586Very 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.mdThe 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.mdThe 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.mdCached 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.mda 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.mdImproving 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