Capabilities
7-day heat trend
−9.7%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 0% of tracked models
- Efficiency rank: #5 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About @cf/meta/llama-4-scout-17b-16e-instruct
Cloudflare Workers AI edge route for Llama 4 Scout with multimodal and function-calling metadata.
@cf/meta/llama-4-scout-17b-16e-instruct is a Multimodal model from Cloudflare Workers AI (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 10000K-token context window, ~118 tokens/sec throughput and 98.5% availability. Its composite efficiency score is 96/100 at an estimated $0.000 per successful task.
Compare @cf/meta/llama-4-scout-17b-16e-instruct
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Frequently asked questions
How much does @cf/meta/llama-4-scout-17b-16e-instruct cost per 1M tokens?+
@cf/meta/llama-4-scout-17b-16e-instruct is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is @cf/meta/llama-4-scout-17b-16e-instruct best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is @cf/meta/llama-4-scout-17b-16e-instruct?+
@cf/meta/llama-4-scout-17b-16e-instruct delivers about 118 tokens/sec with 98.5% tracked availability, suitable for latency-sensitive, real-time applications.
Is @cf/meta/llama-4-scout-17b-16e-instruct cheaper than other AI models?+
Within the HotON.ai tracked set, @cf/meta/llama-4-scout-17b-16e-instruct is cheaper than 43% of models on input price and ranks #5 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.