How DeepInfra’s scores are calculated

Point an agent at llms.txt or agent-oriented docsweight 2

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

• [probe] https://deepinfra.com/llms.txt“PROBE llms.txt: HTTP 404 at https://deepinfra.com/llms.txt”
• [probe] https://deepinfra.com/docs.md“PROBE docs-md: HTTP 404 at https://deepinfra.com/docs.md”
• [probe] https://deepinfra.com/openapi.json“PROBE openapi: all candidate paths 404 (https://deepinfra.com/openapi.json, https://deepinfra.com/swagger.json, https://deepinfra.com/api/openapi.json, https://deepinfra.com/.well-known/openapi.json)”

Run the product headlessly / in CI for automationweight 2

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

• [claimed-docs] https://deepinfra.com/docs/inference“The only changes you need to make from your existing OpenAI code: 1. Set `base_url` to `https://api.deepinfra.com/v1/openai` 2. Set `api_key` to your DeepInfra token 3. Set `model` to a model from our catalog”
• [claimed-docs] https://deepinfra.com/docs/inference“The only changes you need to make from your existing OpenAI code: Set base_url to https://api.deepinfra.com/v1/openai”
• [probe] https://api.deepinfra.com/v1/openai/models“PROBE models-endpoint (2026-09-04): GET https://api.deepinfra.com/v1/openai/models with NO API key returned HTTP 200 with a machine-readable catalog of 189 models — an agent can enumerate the live model list keylessly via the OpenAI-compatible models endpoint.”
• [claimed-docs] https://deepinfra.com/docs“You only pay per token — no idle GPU time, no minimums, no seat fees.”

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://deepinfra.com/docs“Point your existing OpenAI SDK to `https://api.deepinfra.com/v1/openai` and your code works without changes. No migration required.”
• [probe] https://deepinfra.com/llms.txt“PROBE llms.txt: HTTP 404 at https://deepinfra.com/llms.txt”
• [probe] https://deepinfra.com/docs.md“PROBE docs-md: HTTP 404 at https://deepinfra.com/docs.md”
• [probe] https://deepinfra.com/openapi.json“PROBE openapi: all candidate paths 404 (https://deepinfra.com/openapi.json, https://deepinfra.com/swagger.json, https://deepinfra.com/api/openapi.json, https://deepinfra.com/.well-known/openapi.json)”

Drive the product through a documented public APIweight 3

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

• [claimed-docs] https://deepinfra.com/docs“Point your existing OpenAI SDK to `https://api.deepinfra.com/v1/openai` and your code works without changes. No migration required.”
• [claimed-docs] https://deepinfra.com/docs/inference“OpenAI-compatible chat completions API — just change the base URL and model name.”
• [claimed-docs] https://deepinfra.com/docs/inference“The only changes you need to make from your existing OpenAI code: 1. Set `base_url` to `https://api.deepinfra.com/v1/openai` 2. Set `api_key` to your DeepInfra token 3. Set `model` to a model from our catalog”
• [claimed-docs] https://deepinfra.com/docs/inference“The only changes you need to make from your existing OpenAI code: Set base_url to https://api.deepinfra.com/v1/openai”
• [claimed-docs] https://deepinfra.com/docs/inference“Set service_tier to "priority" to request priority inference on supported models. Priority requests get faster time-to-first-token and higher throughput during peak demand.”
• [claimed-docs] https://deepinfra.com/docs/inference“Set service_tier to "flex" to run Chat Completions requests at a lower cost in exchange for slower response times and occasional resource unavailability.”
• [claimed-docs] https://deepinfra.com/docs/inference“Set the optional fail_fast parameter to true to get an immediate HTTP 429 instead of waiting.”
• [probe] https://api.deepinfra.com/v1/openai/models“PROBE models-endpoint (2026-09-04): GET https://api.deepinfra.com/v1/openai/models with NO API key returned HTTP 200 with a machine-readable catalog of 189 models — an agent can enumerate the live model list keylessly via the OpenAI-compatible models endpoint.”
• [probe] https://deepinfra.com/llms.txt“PROBE llms.txt: HTTP 404 at https://deepinfra.com/llms.txt”
• [probe] https://deepinfra.com/openapi.json“PROBE openapi: all candidate paths 404 (https://deepinfra.com/openapi.json, https://deepinfra.com/swagger.json, https://deepinfra.com/api/openapi.json, https://deepinfra.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

• [claimed-docs] https://deepinfra.com/docs/inference“The only changes you need to make from your existing OpenAI code: 1. Set `base_url` to `https://api.deepinfra.com/v1/openai` 2. Set `api_key` to your DeepInfra token 3. Set `model` to a model from our catalog”
• [claimed-docs] https://deepinfra.com/docs“Drop-in OpenAI replacement. Point your existing OpenAI SDK to https://api.deepinfra.com/v1/openai and your code works without changes.”

Build against official SDKsweight 2

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

• [claimed-docs] https://deepinfra.com/docs“Point your existing OpenAI SDK to `https://api.deepinfra.com/v1/openai` and your code works without changes. No migration required.”
• [claimed-docs] https://deepinfra.com/docs“Point your existing OpenAI SDK to https://api.deepinfra.com/v1/openai and your code works without changes. No migration required.”
• [claimed-docs] https://deepinfra.com/docs/inference“The only changes you need to make from your existing OpenAI code: 1. Set `base_url` to `https://api.deepinfra.com/v1/openai` 2. Set `api_key` to your DeepInfra token 3. Set `model` to a model from our catalog”
• [claimed-docs] https://deepinfra.com/docs/inference“The only changes you need to make from your existing OpenAI code: Set base_url to https://api.deepinfra.com/v1/openai”
• [claimed-docs] https://deepinfra.com/docs“Drop-in OpenAI replacement. Point your existing OpenAI SDK to https://api.deepinfra.com/v1/openai and your code works without changes.”
• [probe] https://api.deepinfra.com/v1/openai/models“PROBE models-endpoint (2026-09-04): GET https://api.deepinfra.com/v1/openai/models with NO API key returned HTTP 200 with a machine-readable catalog of 189 models — an agent can enumerate the live model list keylessly via the OpenAI-compatible models endpoint.”

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

Explore an interactive API reference with runnable examplesweight 2

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

• [probe] https://deepinfra.com/llms.txt“PROBE llms.txt: HTTP 404 at https://deepinfra.com/llms.txt”
• [probe] https://deepinfra.com/docs.md“PROBE docs-md: HTTP 404 at https://deepinfra.com/docs.md”
• [probe] https://deepinfra.com/openapi.json“PROBE openapi: all candidate paths 404 (https://deepinfra.com/openapi.json, https://deepinfra.com/swagger.json, https://deepinfra.com/api/openapi.json, https://deepinfra.com/.well-known/openapi.json)”
• [claimed-docs] https://deepinfra.com/docs/inference“The only changes you need to make from your existing OpenAI code: 1. Set `base_url` to `https://api.deepinfra.com/v1/openai` 2. Set `api_key` to your DeepInfra token 3. Set `model` to a model from our catalog”

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://deepinfra.com/llms.txt“PROBE llms.txt: HTTP 404 at https://deepinfra.com/llms.txt”
• [probe] https://deepinfra.com/docs.md“PROBE docs-md: HTTP 404 at https://deepinfra.com/docs.md”
• [probe] https://deepinfra.com/openapi.json“PROBE openapi: all candidate paths 404 (https://deepinfra.com/openapi.json, https://deepinfra.com/swagger.json, https://deepinfra.com/api/openapi.json, https://deepinfra.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

• [claimed-docs] https://deepinfra.com/docs“Need to run your own fine-tuned weights, or require data isolation? Deploy a dedicated instance on A100/H100/H200/B200/B300 with autoscaling and a private endpoint”
• [claimed-docs] https://deepinfra.com“With our zero retention policy your inputs, your outputs, and your user data stay private. DeepInfra is SOC 2 and ISO 27001 certified.”
• [claimed-docs] https://deepinfra.com/docs“You only pay per token — no idle GPU time, no minimums, no seat fees.”

Rely on versioned APIs with a documented deprecation policyweight 2

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

• [probe] https://deepinfra.com/docs.md“PROBE docs-md: HTTP 404 at https://deepinfra.com/docs.md”
• [probe] https://deepinfra.com/openapi.json“PROBE openapi: all candidate paths 404 (https://deepinfra.com/openapi.json, https://deepinfra.com/swagger.json, https://deepinfra.com/api/openapi.json, https://deepinfra.com/.well-known/openapi.json)”
• [claimed-docs] https://deepinfra.com/docs/inference“The only changes you need to make from your existing OpenAI code: 1. Set `base_url` to `https://api.deepinfra.com/v1/openai` 2. Set `api_key` to your DeepInfra token 3. Set `model` to a model from our catalog”

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://deepinfra.com/docs/inference“OpenAI-compatible chat completions API — just change the base URL and model name.”
• [claimed-docs] https://deepinfra.com/docs“Run your own fine-tuned LLM on A100 / H100 / H200 / B200 / B300 with autoscaling.”
• [claimed-docs] https://deepinfra.com/docs“Need to run your own fine-tuned weights, or require data isolation? Deploy a dedicated instance on A100/H100/H200/B200/B300 with autoscaling and a private endpoint”
• [claimed-docs] https://deepinfra.com/docs“GPU Clusters for training and full control. Rent a B200 or B300 cluster with SSH access and run whatever you want.”
• [claimed-docs] https://deepinfra.com/docs“Embeddings & Reranking State-of-the-art embedding and reranker models for search and RAG.”
• [claimed-docs] https://deepinfra.com/docs“Image & Video Generation FLUX, Stable Diffusion, text-to-video, and more.”
• [claimed-docs] https://deepinfra.com/docs“Speech recognition (Whisper) and text-to-speech models.”
• [claimed-docs] https://deepinfra.com/docs“Vision & OCR Multimodal models for visual understanding and document text extraction.”
• [probe] https://deepinfra.com/llms.txt“PROBE llms.txt: HTTP 404 at https://deepinfra.com/llms.txt”
• [probe] https://deepinfra.com/docs.md“PROBE docs-md: HTTP 404 at https://deepinfra.com/docs.md”
• [probe] https://deepinfra.com/openapi.json“PROBE openapi: all candidate paths 404 (https://deepinfra.com/openapi.json, https://deepinfra.com/swagger.json, https://deepinfra.com/api/openapi.json, https://deepinfra.com/.well-known/openapi.json)”
• [probe] https://api.deepinfra.com/v1/openai/models“PROBE models-endpoint (2026-09-04): GET https://api.deepinfra.com/v1/openai/models with NO API key returned HTTP 200 with a machine-readable catalog of 189 models — an agent can enumerate the live model list keylessly via the OpenAI-compatible models endpoint.”

Export all of my data in open formats and leaveweight 3

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

• [claimed-docs] https://deepinfra.com“With our zero retention policy your inputs, your outputs, and your user data stay private. DeepInfra is SOC 2 and ISO 27001 certified.”

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

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

• [claimed-docs] https://deepinfra.com/docs“DeepInfra is an AI inference cloud that makes it simple to run the latest machine learning models at scale — LLMs, vision, embeddings, image generation, video generation, speech, and more.”
• [claimed-docs] https://deepinfra.com/docs“Embeddings & Reranking State-of-the-art embedding and reranker models for search and RAG.”

Set up automations that run autonomously in the backgroundweight 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

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

Perform bulk operations across many items at onceweight 2

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

• [claimed-docs] https://deepinfra.com/docs/inference“It’s ideal for non-production or lower-priority tasks such as model evaluations, data enrichment, and asynchronous workloads.”
• [claimed-docs] https://deepinfra.com/docs/inference“Set service_tier to "flex" to run Chat Completions requests at a lower cost in exchange for slower response times and occasional resource unavailability.”

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