Compare
Speed, side by side.
Pick a task and watch every provider answer it in real time.
Speed race
Prompt
Measured lanes replay real single runs. Modelled lanes use each provider’s published first‑token time and output speed. Sources sit under the table.
Vision
See what it sees, as it sees it.
Watch it live on your camera, or race it on a photo against SwiftInference and GPT‑4o Vision.
Ready
Nothing is recorded or uploaded.
What it sees
Waiting for the camera.
–
ms / frame
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frames / s
Device
runs on
Ogbon runs the detector live in your browser on this photo.
Side by side
How the options stack up.
| Provider | Model | First token | Output speed | Source |
|---|---|---|---|---|
| Ogbon | Llama | 190 ms | 190 tokens/s | Our measurement |
| SwiftInference | Llama 3.1 8B | 468–853 ms | 15–18 tokens/s | Our measurement |
| OpenAI | GPT‑4o | 1,082–2,315 ms | – | Our measurement |
| Anthropic | Claude Sonnet 4 | No answer | – | Our measurement |
| Cerebras | gpt‑oss‑120B | 1,410 ms | 1,753 tokens/s | Artificial Analysis |
| Together AI | gpt‑oss‑120B | 1,899 ms | 564 tokens/s | General Compute, AA |
| Fireworks AI | gpt‑oss‑120B | 3,190 ms | 690 tokens/s | Artificial Analysis |
| SambaNova | gpt‑oss‑120B | 4,100 ms | 693 tokens/s | Artificial Analysis |
| Groq | gpt‑oss‑120B | 4,870 ms | 478 tokens/s | Artificial Analysis |
| Dreamscale Labs | DreamZero 14B | 320 ms per step | – | Their published claim |
- Measured: our single runs in October 2026 of Ogbon, SwiftInference, OpenAI and Anthropic, which returned no answer.
- Cerebras, Fireworks, SambaNova and Groq: Artificial Analysis on gpt‑oss‑120B. Their first token includes the model’s thinking time.
- Together: output speed from Artificial Analysis, first token from General Compute’s benchmark.
- Dreamscale Labs: their published latency for one DreamZero 14B robotics step, not a chat API.
- Models differ and figures change often, so check each provider before deciding.
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