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.txt“PROBE 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.md“PROBE 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.md“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/batch.md“Batch 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.md“Batch 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-typescript“Request parameters that correspond to file uploads can be passed in many different forms”
- [probe] https://api.groq.com/openai/v1/models“PROBE 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.md“To 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.md“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.md“you 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.md“Groq'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/mcp“official 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/mcp“official MCP server documented at https://console.groq.com/docs/mcp”
- [claimed-docs] https://console.groq.com/docs/tool-use/remote-mcp.md“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.md“Groq'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/overview“Fast LLM inference, OpenAI-compatible. Simple to integrate, easy to scale. Start building in minutes.”
- [claimed-docs] https://console.groq.com/docs/openai.md“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/openai.md“To 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.md“Generating 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.md“To 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.md“Structured Outputs is a feature that ensures your model responses conform to your provided JSON Schema”
- [claimed-docs] https://console.groq.com/docs/responses-api.md“Groq'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.txt“PROBE 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.md“PROBE 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.json“PROBE 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/models“PROBE 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.com“PROBE 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.md“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/openai.md“To 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.md“Spend Limits: Set automated spending limits and receive budget alerts”
- [claimed-docs] https://console.groq.com/docs/billing-faqs.md“Spend 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-typescript“Request parameters that correspond to file uploads can be passed in many different forms”
- [github] https://github.com/groq/groq-typescript“await client.audio.transcriptions.create({ model: 'whisper-large-v3-turbo', file: fs.createReadStream('/path/to/file'), });”
- [github] https://github.com/groq/groq-typescript“If 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.md“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/openai.md“To 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.md“To 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.md“Tool 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.md“Structured 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/overview“Fast LLM inference, OpenAI-compatible. Simple to integrate, easy to scale. Start building in minutes.”
- [claimed-docs] https://console.groq.com/docs/openai.md“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.md“To 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.md“PROBE 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.json“PROBE 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.json“PROBE 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.md“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/tool-use/overview.md“Tool 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.md“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/batch.md“Batch 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.md“Upload 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.md“Structured 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.md“Groq'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.md“Spend Limits: Set automated spending limits and receive budget alerts”
- [probe] https://console.groq.com/openapi.json“PROBE 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=39428880“The 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/overview“Fast 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.md“Batch 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.md“Tool 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.md“point 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.md“Generating 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.md“Tool 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.md“To 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.md“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.md“Groq'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.md“Batch 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.md“Batch 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.md“Flex 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.md“Flex 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