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How Ollama’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 Score22/100

Agent-ready 42.2 × 0.30 = 12.66

API quality 0.0 × 0.20 = 0.00

Openness 38.7 × 0.20 = 7.74

Built-in AI 12.0 × 0.15 = 1.80

Automation 0.0 × 0.15 = 0.00

(12.66 + 0.00 + 7.74 + 1.80 + 0.00) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 22.20 ÷ 1.00 = 22.2

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-ready42.2/100×0.30 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) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [probe] https://ollama.com/llms.txtPROBE llms.txt: HTTP 200 at https://ollama.com/llms.txt # Ollama > Ollama is the easiest way to run open AI models locally or in the cloud, with a simple API and 40,000+ integ
  • [probe] https://ollama.com/docs.mdPROBE docs-md: HTTP 404 at https://ollama.com/docs.md
  • [probe] https://ollama.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://ollama.com/openapi.json, https://ollama.com/swagger.json, https://ollama.com/api/openapi.json, https://ollama.com/.well-known/openapi.json)

Run the product headlessly / in CI for automationweight 2

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

  • [github] https://github.com/ollama/ollamaOllama has a REST API for running and managing models.
  • [claimed-docs] https://ollama.com/docsLearn the local and cloud base URLs, then send a request with curl.
  • [claimed-docs] https://ollama.com/docsUse Ollama from Python.
  • [claimed-docs] https://ollama.com/docsUse Ollama from JavaScript or TypeScript.
  • [community] https://news.ycombinator.com/item?id=47788385The biggest advantage for me with ollama is the ability to 'hotswap' models with different utility instead of restarting the server, combined with simple 'ollama pull model'—very convenient for a discord bot with different models per feature.

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

  • [github] https://github.com/ollama/ollamaconnect Ollama to your existing agents or applications such as `Claude Code`, `OpenClaw`, `OpenCode` , `Codex`, `Copilot`, and more.
  • [github] https://github.com/ollama/ollamaOllama has a REST API for running and managing models.
  • [claimed-docs] https://ollama.comOllama lets you use open models with your coding agents so you can spend less while keeping your data private.
  • [claimed-docs] https://ollama.comLaunch Claude Code, Codex, and more with one command.

Connect an agent via an official MCP serverweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

  • [github] https://github.com/ollama/ollamaconnect Ollama to your existing agents or applications such as `Claude Code`, `OpenClaw`, `OpenCode` , `Codex`, `Copilot`, and more.
  • [github] https://github.com/ollama/ollamaOllama has a REST API for running and managing models.
  • [claimed-docs] https://ollama.comLaunch Claude Code, Codex, and more with one command.

Use an official CLIweight 2

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

  • [claimed-docs] https://ollama.comLaunch Claude Code, Codex, and more with one command.
  • [github] https://github.com/ollama/ollamaconnect Ollama to your existing agents or applications such as `Claude Code`, `OpenClaw`, `OpenCode` , `Codex`, `Copilot`, and more.
  • [community] https://news.ycombinator.com/item?id=47788385The biggest advantage for me with ollama is the ability to 'hotswap' models with different utility instead of restarting the server, combined with simple 'ollama pull model'—very convenient for a discord bot with different models per feature.
  • [community] https://news.ycombinator.com/item?id=47788385I prefer Ollama over the suggested alternatives. A new model on HF or Ollama registry? One 'ollama pull' and it's available. Underwhelming? 'ollama rm'.
  • [community] https://news.ycombinator.com/item?id=47788385No mention of the fact that Ollama is about 1000x easier to use. Llama.cpp is a great project but one of the least user friendly pieces of software I've used.

Drive the product through a documented public APIweight 3

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

  • [github] https://github.com/ollama/ollamaOllama has a REST API for running and managing models.
  • [claimed-docs] https://ollama.com/docsLearn the local and cloud base URLs, then send a request with curl.
  • [claimed-docs] https://ollama.com/docsUse Ollama from Python.
  • [claimed-docs] https://ollama.com/docsUse Ollama from JavaScript or TypeScript.
  • [github] https://github.com/ollama/ollamaconnect Ollama to your existing agents or applications such as `Claude Code`, `OpenClaw`, `OpenCode` , `Codex`, `Copilot`, and more.
  • [probe] https://ollama.com/llms.txtPROBE llms.txt: HTTP 200 at https://ollama.com/llms.txt # Ollama > Ollama is the easiest way to run open AI models locally or in the cloud, with a simple API and 40,000+ integ
  • [probe] https://ollama.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://ollama.com/openapi.json, https://ollama.com/swagger.json, https://ollama.com/api/openapi.json, https://ollama.com/.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

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

Build against official SDKsweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

  • [claimed-docs] https://ollama.com/docsUse Ollama from Python.
  • [claimed-docs] https://ollama.com/docsUse Ollama from JavaScript or TypeScript.
  • [claimed-docs] https://ollama.com/docsLearn the local and cloud base URLs, then send a request with curl.
  • [github] https://github.com/ollama/ollamaOllama has a REST API for running and managing models.

Subscribe to events via webhooksweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [github] https://github.com/ollama/ollamaOllama has a REST API for running and managing models.

Connect a coding agent to this product as a working backendweight 3

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

  • [claimed-docs] https://ollama.comOllama lets you use open models with your coding agents so you can spend less while keeping your data private.
  • [claimed-docs] https://ollama.comLaunch Claude Code, Codex, and more with one command.
  • [claimed-docs] https://ollama.comDedicated capacity so throughput holds up when you are running several agents at once.
  • [github] https://github.com/ollama/ollamaconnect Ollama to your existing agents or applications such as `Claude Code`, `OpenClaw`, `OpenCode` , `Codex`, `Copilot`, and more.
  • [github] https://github.com/ollama/ollamaOllama has a REST API for running and managing models.

Agent-ready = 101.2 ÷ 240 × 100 = 42.2

API quality0.0/100×0.20 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) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [github] https://github.com/ollama/ollamaOllama has a REST API for running and managing models.
  • [claimed-docs] https://ollama.com/docsLearn the local and cloud base URLs, then send a request with curl.
  • [claimed-docs] https://ollama.com/docsUse Ollama from Python.
  • [claimed-docs] https://ollama.com/docsUse Ollama from JavaScript or TypeScript.
  • [probe] https://ollama.com/docs.mdPROBE docs-md: HTTP 404 at https://ollama.com/docs.md
  • [probe] https://ollama.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://ollama.com/openapi.json, https://ollama.com/swagger.json, https://ollama.com/api/openapi.json, https://ollama.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://ollama.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://ollama.com/openapi.json, https://ollama.com/swagger.json, https://ollama.com/api/openapi.json, https://ollama.com/.well-known/openapi.json)
  • [github] https://github.com/ollama/ollamaOllama has a REST API for running and managing models.
  • [claimed-docs] https://ollama.com/docsLearn the local and cloud base URLs, then send a request with curl.

Test against a sandbox environment without touching production dataweight 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

Rely on versioned APIs with a documented deprecation policyweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [github] https://github.com/ollama/ollamaOllama has a REST API for running and managing models.
  • [probe] https://ollama.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://ollama.com/openapi.json, https://ollama.com/swagger.json, https://ollama.com/api/openapi.json, https://ollama.com/.well-known/openapi.json)
  • [probe] https://ollama.com/docs.mdPROBE docs-md: HTTP 404 at https://ollama.com/docs.md

API quality = 0.0 ÷ 60 × 100 = 0.0

Openness38.7/100×0.20 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) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [github] https://github.com/ollama/ollamaOllama has a REST API for running and managing models.
  • [claimed-docs] https://ollama.com/docsLearn the local and cloud base URLs, then send a request with curl.
  • [claimed-docs] https://ollama.com/docsUse Ollama from Python.
  • [claimed-docs] https://ollama.com/docsUse Ollama from JavaScript or TypeScript.
  • [probe] https://ollama.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://ollama.com/openapi.json, https://ollama.com/swagger.json, https://ollama.com/api/openapi.json, https://ollama.com/.well-known/openapi.json)

Export all of my data in open formats and leaveweight 3

3 (weight) × 3 (quality) × 0.3 (disputed) = 2.7 of 30 max

  • [claimed-docs] https://ollama.comNothing you run locally ever leaves your machine.
  • [claimed-docs] https://ollama.comYour prompts are never tracked or trained on.
  • [community] https://news.ycombinator.com/item?id=47788385Claims Ollama creates lock-in via a proprietary model registry format with hashed filenames that don't work with other tools, and minimizes attribution to llama.cpp.

Read the product's source under an open licenseweight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [github] https://github.com/ollama/ollamaconnect Ollama to your existing agents or applications such as `Claude Code`, `OpenClaw`, `OpenCode` , `Codex`, `Copilot`, and more.
  • [github] https://github.com/ollama/ollamaOllama has a REST API for running and managing models.
  • [community] https://news.ycombinator.com/item?id=47788385Claims Ollama creates lock-in via a proprietary model registry format with hashed filenames that don't work with other tools, and minimizes attribution to llama.cpp.
  • [community] https://news.ycombinator.com/item?id=39718558There's a thing somewhat conspicuous in its absence - why isn't llama.cpp more directly credited and thanked for providing the base technology powering this tool? GPT4All and LM Studio both credit appropriately, Ollama seems to bend over backwards so they don't have to.

Self-host the core productweight 3

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

  • [claimed-docs] https://ollama.comNothing you run locally ever leaves your machine.
  • [claimed-docs] https://ollama.comYour prompts are never tracked or trained on.
  • [github] https://github.com/ollama/ollamaOllama has a REST API for running and managing models.
  • [community] https://news.ycombinator.com/item?id=39718558It's pretty funny to see this blog post, when I have been running Ollama on my AMD RX 6650 for weeks. They have shipped ROCm containers since 0.1.27.
  • [community] https://news.ycombinator.com/item?id=39718558Ollama runs really, really slow on my MBP for Mistral - as in just a few tokens a second and it takes a long while before it starts giving a result... LM Studio does not have such issues.
  • [community] https://news.ycombinator.com/item?id=44739632Ollama's new app is now available for macOS and Windows... linux sounds out for now. No Linux, that's a bummer. I've been using it in Linux for inference for ages.
  • [community] https://news.ycombinator.com/item?id=39125477Ollama is definitely the easiest way to run LLMs locally... It's like how Docker made it so any application can execute something portably on any machine.

Openness = 38.7 ÷ 100 × 100 = 38.7

Built-in AI12.0/100×0.15 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

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

Delegate tasks to a built-in AI assistant inside the productweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

  • [claimed-docs] https://ollama.comOllama lets you use open models with your coding agents so you can spend less while keeping your data private.
  • [claimed-docs] https://ollama.comLaunch Claude Code, Codex, and more with one command.
  • [github] https://github.com/ollama/ollamaconnect Ollama to your existing agents or applications such as `Claude Code`, `OpenClaw`, `OpenCode` , `Codex`, `Copilot`, and more.
  • [github] https://github.com/ollama/ollamaUse OpenClaw to turn Ollama into a personal AI assistant across WhatsApp, Telegram, Slack, Discord, and more

Operate the product with natural-language commandsweight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [claimed-docs] https://ollama.comOllama lets you use open models with your coding agents so you can spend less while keeping your data private.
  • [claimed-docs] https://ollama.comLaunch Claude Code, Codex, and more with one command.
  • [github] https://github.com/ollama/ollamaconnect Ollama to your existing agents or applications such as `Claude Code`, `OpenClaw`, `OpenCode` , `Codex`, `Copilot`, and more.
  • [github] https://github.com/ollama/ollamaUse OpenClaw to turn Ollama into a personal AI assistant across WhatsApp, Telegram, Slack, Discord, and more
  • [github] https://github.com/ollama/ollamaOllama has a REST API for running and managing models.

Built-in AI = 6.0 ÷ 50 × 100 = 12.0

Automation0.0/100×0.15 of the PA blend

Depth of automation primitives — rules, scheduling, bulk operations, webhooks.

Perform bulk operations across many items at onceweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

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

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 = 0.0 ÷ 20 × 100 = 0.0