openai
Teams that need the broadest model portfolio, widest ecosystem integration, and the most mature enterprise API platform.
You gain ecosystem breadth and enterprise maturity but may see less consistent reasoning quality on complex tasks.
LLM APIs
Cloud-hosted large language model APIs that provide text generation, chat completion, embedding, and reasoning capabilities for integration into applications via REST or SDK interfaces.
Top pick
Top pick for Solo Dev
anthropic
Best balance of model quality and free-tier credits for prototyping, with the cleanest SDK for rapid development.
Anthropic's Claude models offer the best combination of reasoning quality, instruction following, safety, and developer experience for production applications. The API is clean and well-documented, function calling is reliable, context windows are generous, and the SDK provides excellent TypeScript support. While OpenAI has broader market awareness, Anthropic delivers more consistent quality for complex tasks and has earned strong developer trust for reliability and thoughtful model behavior.
- DX Score
- 9.4
- Time to Hello World
- 4 min
- Free Tier
- Free Tier
- Starts at
- $0
Comparison matrix
The shortlist at a glance
Comparison matrix
| Tool | Rate Limits | Reliability | Sdk Quality | Model Quality | Context Window | Function Calling | Pricing Per Token | Streaming Support | Pick |
|---|---|---|---|---|---|---|---|---|---|
| openai | High | High | High | High | Very Large | Moderate | |||
| anthropic | Medium | High | High | High | Very Large | Moderate | Pick | ||
| google-gemini | Medium | Medium | Medium | High | Very Large | Cheap | |||
| mistral | Medium | Medium | Medium | Medium | Large | Cheap | |||
| cohere | Medium | Medium | Medium | Medium | Large | Cheap |
Also great
Strong alternatives when your constraints shift
google-gemini
Teams that need the largest context windows, multimodal capabilities, and integration with Google Cloud infrastructure.
You gain massive context windows and Google ecosystem integration but accept a less mature developer experience.
mistral
Teams that need competitive quality at lower cost, especially for European data residency requirements.
You gain better pricing and EU data residency but accept a smaller ecosystem and less mature tooling.
Avoid
Where we would push you elsewhere
cohere
Cohere's developer ecosystem is significantly smaller than OpenAI or Anthropic, limiting community resources and third-party integrations.
Better alternatives: anthropic, mistral
Methodology
How this recommendation gets made
Hands-on onboarding runs with the best-supported SDK path.
Pricing snapshots captured at publish time and reviewed on drift.
Benchmarks recorded in a repeatable environment with notes on tradeoffs.
Use this in your agent
npx @vetted/cli recommend llm-apis --context solo-dev
# or query from code
recommend({
category: "llm-apis",
context: "solo-dev"
})
Top pick
Top pick for Startup
anthropic
Best reasoning quality for product differentiation, with reliable function calling and strong TypeScript SDK.
Anthropic's Claude models offer the best combination of reasoning quality, instruction following, safety, and developer experience for production applications. The API is clean and well-documented, function calling is reliable, context windows are generous, and the SDK provides excellent TypeScript support. While OpenAI has broader market awareness, Anthropic delivers more consistent quality for complex tasks and has earned strong developer trust for reliability and thoughtful model behavior.
- DX Score
- 9.4
- Time to Hello World
- 4 min
- Free Tier
- Free Tier
- Starts at
- $0
Comparison matrix
The shortlist at a glance
Comparison matrix
| Tool | Rate Limits | Reliability | Sdk Quality | Model Quality | Context Window | Function Calling | Pricing Per Token | Streaming Support | Pick |
|---|---|---|---|---|---|---|---|---|---|
| openai | High | High | High | High | Very Large | Moderate | |||
| anthropic | Medium | High | High | High | Very Large | Moderate | Pick | ||
| google-gemini | Medium | Medium | Medium | High | Very Large | Cheap | |||
| mistral | Medium | Medium | Medium | Medium | Large | Cheap | |||
| cohere | Medium | Medium | Medium | Medium | Large | Cheap |
Also great
Strong alternatives when your constraints shift
openai
Teams that need the broadest model portfolio, widest ecosystem integration, and the most mature enterprise API platform.
You gain ecosystem breadth and enterprise maturity but may see less consistent reasoning quality on complex tasks.
google-gemini
Teams that need the largest context windows, multimodal capabilities, and integration with Google Cloud infrastructure.
You gain massive context windows and Google ecosystem integration but accept a less mature developer experience.
mistral
Teams that need competitive quality at lower cost, especially for European data residency requirements.
You gain better pricing and EU data residency but accept a smaller ecosystem and less mature tooling.
Avoid
Where we would push you elsewhere
cohere
Cohere's developer ecosystem is significantly smaller than OpenAI or Anthropic, limiting community resources and third-party integrations.
Better alternatives: anthropic, mistral
Methodology
How this recommendation gets made
Hands-on onboarding runs with the best-supported SDK path.
Pricing snapshots captured at publish time and reviewed on drift.
Benchmarks recorded in a repeatable environment with notes on tradeoffs.
Use this in your agent
npx @vetted/cli recommend llm-apis --context startup
# or query from code
recommend({
category: "llm-apis",
context: "startup"
})
Top pick
Top pick for Scale Up
openai
Broadest model portfolio from GPT-4o to fine-tuning, with the most mature enterprise API infrastructure at scale.
Broadest model portfolio from GPT-4o to fine-tuning, with the most mature enterprise API infrastructure at scale. Teams that need the broadest model portfolio, widest ecosystem integration, and the most mature enterprise API platform. You gain ecosystem breadth and enterprise maturity but may see less consistent reasoning quality on complex tasks.
- DX Score
- 9.2
- Time to Hello World
- 5 min
- Free Tier
- Free Tier
- Starts at
- $0
Comparison matrix
The shortlist at a glance
Comparison matrix
| Tool | Rate Limits | Reliability | Sdk Quality | Model Quality | Context Window | Function Calling | Pricing Per Token | Streaming Support | Pick |
|---|---|---|---|---|---|---|---|---|---|
| openai | High | High | High | High | Very Large | Moderate | Pick | ||
| anthropic | Medium | High | High | High | Very Large | Moderate | |||
| google-gemini | Medium | Medium | Medium | High | Very Large | Cheap | |||
| mistral | Medium | Medium | Medium | Medium | Large | Cheap | |||
| cohere | Medium | Medium | Medium | Medium | Large | Cheap |
Also great
Strong alternatives when your constraints shift
google-gemini
Teams that need the largest context windows, multimodal capabilities, and integration with Google Cloud infrastructure.
You gain massive context windows and Google ecosystem integration but accept a less mature developer experience.
mistral
Teams that need competitive quality at lower cost, especially for European data residency requirements.
You gain better pricing and EU data residency but accept a smaller ecosystem and less mature tooling.
Avoid
Where we would push you elsewhere
cohere
Cohere's developer ecosystem is significantly smaller than OpenAI or Anthropic, limiting community resources and third-party integrations.
Better alternatives: anthropic, mistral
Methodology
How this recommendation gets made
Hands-on onboarding runs with the best-supported SDK path.
Pricing snapshots captured at publish time and reviewed on drift.
Benchmarks recorded in a repeatable environment with notes on tradeoffs.
Use this in your agent
npx @vetted/cli recommend llm-apis --context scale-up
# or query from code
recommend({
category: "llm-apis",
context: "scale-up"
})
Top pick
Top pick for Enterprise
openai
Most established enterprise relationships with SOC 2, BAA, and dedicated account management for large deployments.
Most established enterprise relationships with SOC 2, BAA, and dedicated account management for large deployments. Teams that need the broadest model portfolio, widest ecosystem integration, and the most mature enterprise API platform. You gain ecosystem breadth and enterprise maturity but may see less consistent reasoning quality on complex tasks.
- DX Score
- 9.2
- Time to Hello World
- 5 min
- Free Tier
- Free Tier
- Starts at
- $0
Comparison matrix
The shortlist at a glance
Comparison matrix
| Tool | Rate Limits | Reliability | Sdk Quality | Model Quality | Context Window | Function Calling | Pricing Per Token | Streaming Support | Pick |
|---|---|---|---|---|---|---|---|---|---|
| openai | High | High | High | High | Very Large | Moderate | Pick | ||
| anthropic | Medium | High | High | High | Very Large | Moderate | |||
| google-gemini | Medium | Medium | Medium | High | Very Large | Cheap | |||
| mistral | Medium | Medium | Medium | Medium | Large | Cheap | |||
| cohere | Medium | Medium | Medium | Medium | Large | Cheap |
Also great
Strong alternatives when your constraints shift
google-gemini
Teams that need the largest context windows, multimodal capabilities, and integration with Google Cloud infrastructure.
You gain massive context windows and Google ecosystem integration but accept a less mature developer experience.
mistral
Teams that need competitive quality at lower cost, especially for European data residency requirements.
You gain better pricing and EU data residency but accept a smaller ecosystem and less mature tooling.
Avoid
Where we would push you elsewhere
cohere
Cohere's developer ecosystem is significantly smaller than OpenAI or Anthropic, limiting community resources and third-party integrations.
Better alternatives: anthropic, mistral
Methodology
How this recommendation gets made
Hands-on onboarding runs with the best-supported SDK path.
Pricing snapshots captured at publish time and reviewed on drift.
Benchmarks recorded in a repeatable environment with notes on tradeoffs.
Use this in your agent
npx @vetted/cli recommend llm-apis --context enterprise
# or query from code
recommend({
category: "llm-apis",
context: "enterprise"
})