Clef Omni vs the Clef family and other decision models
Pricing
| Metric Type | Clef OmniCloudflare · via OpenRouter | ClefCloudflare · via OpenRouter | Clef FlashCloudflare · via OpenRouter | GPT-6 Luna DecisionsOpenAI · via OpenRouter | Jev 1.13Typesafe · via OpenRouter | Span-01Respan · via OpenRouter |
|---|---|---|---|---|---|---|
| Inputper 1M tokens | $0.15TextImage | $0.24TextImage | $0.038TextImage | $0.10TextImage | $0.042Text | $0.020Text |
| Outputper 1M tokens | $0decisions | $0decisions | $0decisions | $0decisions | $0decisions | $0decisions |
| Cached inputper 1M tokens | — | — | — | $0 | — | — |
| Cache writeper 1M tokens | — | — | — | $0 | — | — |
| Web searchper request | — | — | — | $0.010 | — | — |
Clef Omni is the fully multimodal member of Cloudflare's open-source Clef decision model family, served on Workers AI. It is built on a 30B mixture-of-experts backbone with 3B active parameters (Qwen3-Omni-30B-A3B). Decision models do not write text. You send a state (text, JSON, an image, audio or video) and a schema of typed questions, and one forward pass returns a probability for every allowed option.
Use them for classification, routing, scoring and guardrails, where you need a typed answer and its confidence. Cloudflare reports about 20 ms for text requests, under 100 ms for image or audio input, and about 300 ms for a 21-second video clip with sound.
Pricing: you pay for input only, because there is no generated output.
- Clef Flash (9B) at $0.038 / 1M, the cheapest of the family
- Clef Omni (30B-A3B MoE) at $0.15 / 1M, cheaper than dense Clef and the only one that takes audio and video
- Clef (27B dense) at $0.24 / 1M
- TypeSafe Jev 1.13 ($0.042) and Respan Span-01 ($0.02) are single-purpose alternatives. Jev returns a typed choice, and Span-01 scores behaviours in a conversation.
- GPT-6 Luna Decisions is OpenAI's closed option at $0.10 in / $0.50 out.
Caveats: Every Clef model has a 64K context. No vendor has published a cross-vendor accuracy benchmark for decision models yet, so check calibration on your own labels before you switch.
Related comparisons
- Jev vs other decision modelsJev 1.13 vs Kev 4B vs Span-01
- DeepSeek V4.1 Flash 1017 vs Claude Haiku 5.5 vs GPT-6 Luna vs Qwen3.8 FlashDeepSeek V4.1 Flash 1017 vs Claude Haiku 5.5 vs GPT-6 Luna vs Qwen3.8 Flash
- Qwen Image 2.1 Pro vs Turbo vs Qwen Image 3, Nano Banana 2.1 and GPT Image 2.5Qwen Image 2.1 Pro vs Qwen Image 2.1 Turbo vs Qwen Image 3 Pro vs Qwen Image 3 vs Nano Banana 2.1 vs GPT Image 2.5 Flare
- Muse Wonder vs Claude Opus 5.5 vs Fable 5.1 vs GPT-6 Astra vs Gemini 4 ArgonMuse Wonder vs Claude Opus 5.5 vs Claude Fable 5.1 vs GPT-6 Astra vs Gemini 4 Argon
- Gemini 4 Argon vs Claude Sonnet 5.5 vs GPT-6.1 Sol vs Opus 5.5 vs GPT-6 AstraGemini 4 Argon vs Claude Sonnet 5.5 vs GPT-6.1 Sol vs Claude Opus 5.5 vs GPT-6 Astra
- GPT-6.1 Sol vs Claude Opus 5.5 vs Muse Wonder vs GPT-6 AstraGPT-6.1 Sol vs Claude Opus 5.5 vs Muse Wonder vs GPT-6 Astra