Where the tokens come from. A frontier API, a gateway you control, or your own GPUs.
| Option | What it does | Licence | Self-host |
|---|---|---|---|
| Anthropic | Claude Opus, Sonnet and Haiku. Strong tool use and long-horizon agentic work. | Proprietary | No |
| OpenAI | GPT and o-series via the Responses API. | Proprietary | No |
| Google Gemini | Gemini models with very long context and native multimodality. | Proprietary | No |
| Amazon Bedrock | Frontier models inside your AWS account, with IAM and VPC boundaries. | Proprietary | No |
| Google Vertex AI | Claude and Gemini under GCP billing, IAM and regional controls. | Proprietary | No |
| DeepSeek | Strong reasoning and coding at a fraction of frontier pricing, with the weights published so you can move off the API later. | Proprietary | No |
| OpenRouter | One API key, several hundred models, automatic failover. | Proprietary | No |
| Hugging Face | One OpenAI-compatible endpoint routed across Groq, Together, Fireworks, Cerebras and Replicate — with the open-weight catalogue behind it. | Proprietary | No |
| Venice AI | Hosted open-weight inference with no prompt logging or retention, plus an anonymising proxy in front of the frontier APIs. | Proprietary | No |
| LiteLLM | Self-hosted proxy that speaks one API to 100+ providers, with keys and budgets. | Open source | Yes |
| Groq | Open-weight models at very low latency. | Proprietary | No |
| Ollama | Open-weight models on your own machine. Nothing leaves the box. | Open source | Yes |
| vLLM | High-throughput open-weight serving on your own GPUs. | Open source | Yes |
Only figures with a published source appear here. A blank cell means nobody has published one for that pairing — which, for most of this category, is the honest answer.
| Benchmark | Anthropic | DeepSeek |
|---|---|---|
| SWE-bench VerifiedShare of real, human-validated GitHub issues resolved end to end. | 96%leaderboardClaude Opus 5 | 96.4%leaderboardDeepSeek V4 Pro 0813 |
SWE-bench Verified. Scores attach to a specific model, not to a provider — the model measured is named in each cell. Frontier results now cluster inside a single point and different leaderboards report different figures for the same model, so treat anything under ~1 point as noise rather than a ranking.
Where the tokens come from. A frontier API, a gateway you control, or your own GPUs. Every stack needs one — it is not optional.
This registry tracks 13. 3 are open source and 3 can run on your own infrastructure.
It depends on constraints rather than preference: whether you must self-host, whether the budget allows a hosted service, and which language your team writes. Describe what you are building and the advisor fills this layer along with the other 9.
Every page here answers to Accept: text/markdown and returns the same content at roughly a tenth the tokens. No separate site, no toggle — same URL.
curl -s -H "Accept: text/markdown" https://newagent.build/layers/model