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How Groq’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 Score31/100

Agent-ready 51.5 × 0.30 = 15.45

API quality 6.9 × 0.20 = 1.38

Openness 10.3 × 0.20 = 2.06

Built-in AI 10.3 × 0.15 = 1.55

Automation 70.0 × 0.15 = 10.50

(15.45 + 1.38 + 2.06 + 1.55 + 10.50) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 30.93 ÷ 1.00 = 30.9

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-ready51.5/100×0.30 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://console.groq.com/llms.txtPROBE llms.txt: HTTP 200 at https://console.groq.com/llms.txt # https://console.groq.com llms.txt - [JigsawStack 🧩](https://console.groq.com/docs/jigsawstack): The JigsawStack 🧩 d
  • [probe] https://console.groq.com/docs/overview.mdPROBE docs-md: HTTP 200 at https://console.groq.com/docs/overview.md --- description: Fast LLM inference, OpenAI-compatible. Simple to integrate, easy to scale. Start building in minutes. t

Run the product headlessly / in CI for automationweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://console.groq.com/docs/openai.mdpass your Groq API key to the `api_key` parameter and change the `base_url` to `https://api.groq.com/openai/v1`
  • [claimed-docs] https://console.groq.com/docs/batch.mdBatch processing lets you run thousands of API requests at scale by submitting your workload as an asynchronous batch of requests to Groq with 50% lower cost
  • [claimed-docs] https://console.groq.com/docs/batch.mdBatch processing lets you run thousands of API requests at scale by submitting your workload as an asynchronous batch of requests to Groq with 50% lower cost, no impact to your standard rate limits, and 24-hour to 7 day processing window.
  • [github] https://github.com/groq/groq-typescriptRequest parameters that correspond to file uploads can be passed in many different forms
  • [probe] https://api.groq.com/openai/v1/modelsPROBE models-endpoint (2026-09-04): GET https://api.groq.com/openai/v1/models without a key returned HTTP 401 ({"error":{"message":"Invalid API Key","type":"invalid_request_error","code":"invalid_api_key"}}) — the OpenAI-style models endpoint is live and speaks JSON, but enumerating the catalog requires an API key.
  • [claimed-docs] https://console.groq.com/docs/text-chat.mdTo enable streaming, set the parameter stream=True. The completion function will then return an iterator of completion deltas

Plug MCP servers into this product so it can use their toolsweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

  • [claimed-docs] https://console.groq.com/docs/tool-use/remote-mcp.mdpoint to an MCP server URL and the Groq API will start using its tools without you having to implement any tool logic yourself
  • [claimed-docs] https://console.groq.com/docs/tool-use/remote-mcp.mdyou simply point to an MCP server URL and the Groq API will start using its tools without you having to implement any tool logic yourself
  • [claimed-docs] https://console.groq.com/docs/tool-use/remote-mcp.mdGroq's Responses API supports remote tool use via MCP servers via HTTPS where Groq handles all orchestration... You don't implement anything - just provide the MCP server URL and authentication.
  • [probe] https://console.groq.com/docs/mcpofficial MCP server documented at https://console.groq.com/docs/mcp

Connect an agent via an official MCP serverweight 3

3 (weight) × 4 (quality) × 0.6 (partial) = 7.2 of 30 max

  • [probe] https://console.groq.com/docs/mcpofficial MCP server documented at https://console.groq.com/docs/mcp
  • [claimed-docs] https://console.groq.com/docs/tool-use/remote-mcp.mdpoint to an MCP server URL and the Groq API will start using its tools without you having to implement any tool logic yourself
  • [claimed-docs] https://console.groq.com/docs/tool-use/remote-mcp.mdGroq's Responses API supports remote tool use via MCP servers via HTTPS where Groq handles all orchestration... You don't implement anything - just provide the MCP server URL and authentication.

Use an official CLIweight 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

Drive the product through a documented public APIweight 3

3 (weight) × 9 (quality) × 1.0 (full) = 27.0 of 30 max

  • [claimed-docs] https://console.groq.com/docs/overviewFast LLM inference, OpenAI-compatible. Simple to integrate, easy to scale. Start building in minutes.
  • [claimed-docs] https://console.groq.com/docs/openai.mdpass your Groq API key to the `api_key` parameter and change the `base_url` to `https://api.groq.com/openai/v1`
  • [claimed-docs] https://console.groq.com/docs/openai.mdTo start using Groq with OpenAI's client libraries, pass your Groq API key to the api_key parameter and change the base_url to https://api.groq.com/openai/v1
  • [claimed-docs] https://console.groq.com/docs/text-chat.mdGenerating text with Groq's Chat Completions API enables you to have natural, conversational interactions with Groq's large language models.
  • [claimed-docs] https://console.groq.com/docs/tool-use/overview.mdTo use tools, the model must be provided with tool definitions. These tool definitions are in JSON schema format and are passed to the model via the tools parameter
  • [claimed-docs] https://console.groq.com/docs/structured-outputs.mdStructured Outputs is a feature that ensures your model responses conform to your provided JSON Schema
  • [claimed-docs] https://console.groq.com/docs/responses-api.mdGroq's Responses API is fully compatible with OpenAI's Responses API, making it easy to integrate advanced conversational AI capabilities into your applications.
  • [probe] https://console.groq.com/llms.txtPROBE llms.txt: HTTP 200 at https://console.groq.com/llms.txt # https://console.groq.com llms.txt - [JigsawStack 🧩](https://console.groq.com/docs/jigsawstack): The JigsawStack 🧩 d
  • [probe] https://console.groq.com/docs/overview.mdPROBE docs-md: HTTP 200 at https://console.groq.com/docs/overview.md --- description: Fast LLM inference, OpenAI-compatible. Simple to integrate, easy to scale. Start building in minutes. t
  • [probe] https://console.groq.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://console.groq.com/openapi.json, https://console.groq.com/swagger.json, https://console.groq.com/api/openapi.json, https://console.groq.com/.well-known/openapi.json)
  • [probe] https://api.groq.com/openai/v1/modelsPROBE models-endpoint (2026-09-04): GET https://api.groq.com/openai/v1/models without a key returned HTTP 401 ({"error":{"message":"Invalid API Key","type":"invalid_request_error","code":"invalid_api_key"}}) — the OpenAI-style models endpoint is live and speaks JSON, but enumerating the catalog requires an API key.
  • [probe] https://groqstatus.comPROBE status-page (2026-09-04): https://groqstatus.com returns HTTP 200 and renders a public service-status page (page body includes "operational").

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://console.groq.com/docs/openai.mdpass your Groq API key to the `api_key` parameter and change the `base_url` to `https://api.groq.com/openai/v1`
  • [claimed-docs] https://console.groq.com/docs/openai.mdTo start using Groq with OpenAI's client libraries, pass your Groq API key to the api_key parameter and change the base_url to https://api.groq.com/openai/v1
  • [claimed-docs] https://console.groq.com/docs/billing-faqs.mdSpend Limits: Set automated spending limits and receive budget alerts
  • [claimed-docs] https://console.groq.com/docs/billing-faqs.mdSpend Limits:** Set automated spending limits and receive budget alerts

Build against official SDKsweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [github] https://github.com/groq/groq-typescriptRequest parameters that correspond to file uploads can be passed in many different forms
  • [github] https://github.com/groq/groq-typescriptawait client.audio.transcriptions.create({ model: 'whisper-large-v3-turbo', file: fs.createReadStream('/path/to/file'), });
  • [github] https://github.com/groq/groq-typescriptIf you have access to Node fs we recommend using fs.createReadStream()... Or if you have the web File API you can pass a File instance
  • [claimed-docs] https://console.groq.com/docs/openai.mdpass your Groq API key to the `api_key` parameter and change the `base_url` to `https://api.groq.com/openai/v1`
  • [claimed-docs] https://console.groq.com/docs/openai.mdTo start using Groq with OpenAI's client libraries, pass your Groq API key to the api_key parameter and change the base_url to https://api.groq.com/openai/v1
  • [claimed-docs] https://console.groq.com/docs/text-chat.mdTo enable streaming, set the parameter stream=True. The completion function will then return an iterator of completion deltas
  • [claimed-docs] https://console.groq.com/docs/tool-use/overview.mdTool use (or function calling) is what transforms a language model from a conversational interface into an autonomous agent capable of taking action
  • [claimed-docs] https://console.groq.com/docs/structured-outputs.mdStructured Outputs is a feature that ensures your model responses conform to your provided JSON Schema

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 = 108.2 ÷ 210 × 100 = 51.5

API quality6.9/100×0.20 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) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [claimed-docs] https://console.groq.com/docs/overviewFast LLM inference, OpenAI-compatible. Simple to integrate, easy to scale. Start building in minutes.
  • [claimed-docs] https://console.groq.com/docs/openai.mdpass your Groq API key to the `api_key` parameter and change the `base_url` to `https://api.groq.com/openai/v1`
  • [claimed-docs] https://console.groq.com/docs/text-chat.mdTo enable streaming, set the parameter stream=True. The completion function will then return an iterator of completion deltas
  • [probe] https://console.groq.com/docs/overview.mdPROBE docs-md: HTTP 200 at https://console.groq.com/docs/overview.md --- description: Fast LLM inference, OpenAI-compatible. Simple to integrate, easy to scale. Start building in minutes. t
  • [probe] https://console.groq.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://console.groq.com/openapi.json, https://console.groq.com/swagger.json, https://console.groq.com/api/openapi.json, https://console.groq.com/.well-known/openapi.json)

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://console.groq.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://console.groq.com/openapi.json, https://console.groq.com/swagger.json, https://console.groq.com/api/openapi.json, https://console.groq.com/.well-known/openapi.json)

Test against a sandbox environment without touching production dataweight 1

1 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 10 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Rely on versioned APIs with a documented deprecation policyweight 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

API quality = 4.8 ÷ 70 × 100 = 6.9

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://console.groq.com/docs/openai.mdpass your Groq API key to the `api_key` parameter and change the `base_url` to `https://api.groq.com/openai/v1`
  • [claimed-docs] https://console.groq.com/docs/tool-use/overview.mdTool use (or function calling) is what transforms a language model from a conversational interface into an autonomous agent capable of taking action
  • [claimed-docs] https://console.groq.com/docs/tool-use/remote-mcp.mdpoint to an MCP server URL and the Groq API will start using its tools without you having to implement any tool logic yourself
  • [claimed-docs] https://console.groq.com/docs/batch.mdBatch processing lets you run thousands of API requests at scale by submitting your workload as an asynchronous batch of requests to Groq with 50% lower cost
  • [claimed-docs] https://console.groq.com/docs/lora.mdUpload your existing LoRA adapters to run specialized inference while maintaining the performance and efficiency of Groq's infrastructure.
  • [claimed-docs] https://console.groq.com/docs/structured-outputs.mdStructured Outputs is a feature that ensures your model responses conform to your provided JSON Schema
  • [claimed-docs] https://console.groq.com/docs/tool-use/remote-mcp.mdGroq's Responses API supports remote tool use via MCP servers via HTTPS where Groq handles all orchestration... You don't implement anything - just provide the MCP server URL and authentication.
  • [claimed-docs] https://console.groq.com/docs/billing-faqs.mdSpend Limits: Set automated spending limits and receive budget alerts
  • [probe] https://console.groq.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://console.groq.com/openapi.json, https://console.groq.com/swagger.json, https://console.groq.com/api/openapi.json, https://console.groq.com/.well-known/openapi.json)

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

  • [community] https://news.ycombinator.com/item?id=39428880The main problem with the Groq LPUs is they don't have any HBM at all, just 230 MiB of SRAM, meaning you need ~256 LPUs (4 full server racks) to serve a single model, versus a single H200.
  • [claimed-docs] https://console.groq.com/docs/overviewFast LLM inference, OpenAI-compatible. Simple to integrate, easy to scale. Start building in minutes.

Openness = 7.2 ÷ 70 × 100 = 10.3

Built-in AI10.3/100×0.15 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) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [claimed-docs] https://console.groq.com/docs/batch.mdBatch processing lets you run thousands of API requests at scale by submitting your workload as an asynchronous batch of requests to Groq with 50% lower cost, no impact to your standard rate limits, and 24-hour to 7 day processing window.
  • [claimed-docs] https://console.groq.com/docs/tool-use/overview.mdTool use (or function calling) is what transforms a language model from a conversational interface into an autonomous agent capable of taking action
  • [claimed-docs] https://console.groq.com/docs/tool-use/remote-mcp.mdpoint to an MCP server URL and the Groq API will start using its tools without you having to implement any tool logic yourself

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) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://console.groq.com/docs/text-chat.mdGenerating text with Groq's Chat Completions API enables you to have natural, conversational interactions with Groq's large language models.
  • [claimed-docs] https://console.groq.com/docs/tool-use/overview.mdTool use (or function calling) is what transforms a language model from a conversational interface into an autonomous agent capable of taking action
  • [claimed-docs] https://console.groq.com/docs/tool-use/overview.mdTo use tools, the model must be provided with tool definitions. These tool definitions are in JSON schema format and are passed to the model via the tools parameter
  • [claimed-docs] https://console.groq.com/docs/tool-use/remote-mcp.mdpoint to an MCP server URL and the Groq API will start using its tools without you having to implement any tool logic yourself
  • [claimed-docs] https://console.groq.com/docs/tool-use/remote-mcp.mdGroq's Responses API supports remote tool use via MCP servers via HTTPS where Groq handles all orchestration... You don't implement anything - just provide the MCP server URL and authentication.

Built-in AI = 7.2 ÷ 70 × 100 = 10.3

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://console.groq.com/docs/batch.mdBatch processing lets you run thousands of API requests at scale by submitting your workload as an asynchronous batch of requests to Groq with 50% lower cost
  • [claimed-docs] https://console.groq.com/docs/batch.mdBatch processing lets you run thousands of API requests at scale by submitting your workload as an asynchronous batch of requests to Groq with 50% lower cost, no impact to your standard rate limits, and 24-hour to 7 day processing window.
  • [claimed-docs] https://console.groq.com/docs/flex-processing.mdFlex processing is available for all models to paid customers only with 10x higher rate limits compared to on-demand processing.
  • [claimed-docs] https://console.groq.com/docs/flex-processing.mdFlex processing is available for all models to paid customers only with 10x higher rate limits compared to on-demand processing. Pricing matches the on-demand tier.

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