OpenAI vs Anthropic
Agent-native side-by-side. Scores are curated estimates on a 0–10 scale. Lock-in: higher = worse. Prefer JTBD picks via /api/decide when choosing for a job.
| Dimension | OpenAI | Anthropic |
|---|---|---|
| Overall | 8.2 | 8.4 |
| Capability fit | 9.6 | 9.7 |
| Price / performance | 6.2 | 6.8 |
| Latency / reliability | 8.8 | 8.7 |
| Developer & agent DX | 9.5 | 9.2 |
| Privacy / data retention | 7.8 | 9.0 |
| Lock-in risk (higher = worse) | 7.2 | 6.5 |
| Maturity / track record | 9.8 | 9.4 |
| Pricing | GPT-5.6 tiers (Sol/Terra/Luna) roughly $5/$30 to $1/$6 per 1M tokens; prompt caching with explicit breakpoints; batch discounts. Media (images/audio) billed separately. | Sonnet 5 ~$2/$10 per 1M; Opus ~$5/$25; Haiku 4.5 ~$1/$5; Fable higher. Prompt caching + batch. Managed Agents session-hour fees. US-only inference ~1.1x. |
| Tagline | Default when you want maximum capability and ecosystem glue. Multi-home critical paths behind OpenAI-compat… | Depot default for serious coding and production agents. Prefer Sonnet for cost/quality; reserve Opus for hard… |
OpenAI
Default when you want maximum capability and ecosystem glue. Multi-home critical paths behind OpenAI-compat so Anthropic/Gemini remain exit ramps. Strengths: Broadest API surface (tools, multimodal, embeddings, realtime); Best ecosystem/docs/SDK gravity; Fast model cadence and enterprise ZDR options.
Strengths
- Broadest API surface (tools, multimodal, embeddings, realtime)
- Best ecosystem/docs/SDK gravity
- Fast model cadence and enterprise ZDR options
Weaknesses
- Premium pricing vs open-model hosts
- Rate limits and capacity can bite at scale
- Policy/safety refusals sometimes block agent flows
Anthropic
Depot default for serious coding and production agents. Prefer Sonnet for cost/quality; reserve Opus for hard reasoning. Pair with Bedrock/Vertex if procurement demands cloud wrappers. Strengths: Best-in-class for coding and careful tool-using agents; Strong enterprise privacy/compliance narrative; Excellent long-horiz
Strengths
- Best-in-class for coding and careful tool-using agents
- Strong enterprise privacy/compliance narrative
- Excellent long-horizon agent behavior
Weaknesses
- Narrower multimodal/media than OpenAI/Google
- Can be capacity-constrained on Opus
- Slightly less SDK ecosystem breadth than OpenAI
More pairs: anthropic-vs-openai · openai-vs-google-ai · groq-vs-fireworks · fireworks-vs-together · qdrant-vs-pinecone · pinecone-vs-supabase-pgvector · e2b-vs-modal · browserbase-vs-firecrawl