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Cloudflare Workers AI

LLM 7.8/10 Jun 15, 2026

Run AI calls close to Workers when the backend is already on Cloudflare.

Requests / min
300
Neurons / day
10K
Card required
No

Cloudflare Workers AI scores 7.8/10 for free value in LLM. The main constraint: Free allocation is 10,000 neurons/day, resetting daily at 00:00 UTC; text generation is separately rate-limited at 300 requests/minute.

Category LLM Kind Edge AI Caveats Less general than OpenRouter; check model availability and unit pricing. Renewal daily Card required No Eligibility anyone

Free value score

7.8 / 10
Show the math
Model Quality 7.7/10
value = 43 artificial_analysis_score
weighted score = 0.5 * 7.7/10
Request Rate 6/10
value = 300 req/min
weighted score = 0.25 * 6/10
Access 10/10
value = 10/10
weighted score = 0.25 * 10/10

Key metrics

@cf/moonshotai/kimi-k2.6 43 Best model
300 R/min Requests/min
10K neurons/day Neurons/day
Yes Commercial use

Models

40 free · 68 total

Limits may be stale — last re-verified outside this section's freshness window.

Model Family AA Access
@cf/moonshotai/kimi-k2.6 Kimi 42.8 free
@cf/moonshotai/kimi-k2.5 Kimi 38.1 free
@cf/zai-org/glm-4.7-flash GLM 33.8 free
@cf/google/gemma-4-26b-a4b-it Gemma 25.7 free
@cf/openai/gpt-oss-120b GPT 23.8 free
@cf/openai/gpt-oss-20b GPT 14.9 free
@cf/deepseek-ai/deepseek-r1-distill-qwen-32b DeepSeek 11 free
@cf/meta/llama-4-scout-17b-16e-instruct Llama 10 free
@cf/qwen/qwen2.5-coder-32b-instruct Qwen 7.1 free
@cf/aisingapore/gemma-sea-lion-v4-27b-it Gemma free
@cf/google/gemma-2b-it-lora Gemma free
@cf/google/gemma-3-12b-it Gemma free
@cf/google/gemma-7b-it-lora Gemma free
@cf/ibm-granite/granite-4.0-h-micro Granite free
@cf/llava-hf/llava-1.5-7b-hf LLaVA free
@cf/meta-llama/llama-2-7b-chat-hf-lora Llama free
@cf/meta/llama-2-7b-chat-fp16 Llama free
@cf/meta/llama-2-7b-chat-int8 Llama free
@cf/meta/llama-3-8b-instruct Llama free
@cf/meta/llama-3-8b-instruct-awq Llama free
@cf/meta/llama-3.1-70b-instruct-fp8-fast Llama free
@cf/meta/llama-3.1-8b-instruct Llama free
@cf/meta/llama-3.1-8b-instruct-awq Llama free
@cf/meta/llama-3.1-8b-instruct-fp8 Llama free
@cf/meta/llama-3.1-8b-instruct-fp8-fast Llama free
@cf/meta/llama-3.2-11b-vision-instruct Llama free
@cf/meta/llama-3.2-1b-instruct Llama free
@cf/meta/llama-3.2-3b-instruct Llama free
@cf/meta/llama-3.3-70b-instruct-fp8-fast Llama free
@cf/meta/llama-guard-3-8b Llama free
@cf/mistral/mistral-7b-instruct-v0.1 Mistral free
@cf/mistral/mistral-7b-instruct-v0.2-lora Mistral free
@cf/mistralai/mistral-small-3.1-24b-instruct Mistral free
@cf/nousresearch/hermes-2-pro-mistral-7b Mistral free
@cf/nvidia/nemotron-3-120b-a12b Nemotron free
@cf/qwen/qwen3-30b-a3b-fp8 Qwen free
@cf/qwen/qwq-32b Qwen free
@hf/google/gemma-7b-it Gemma free
@hf/mistral/mistral-7b-instruct-v0.2 Mistral free
@hf/thebloke/llamaguard-7b-awq Llama free

Compare all free models across providers →

What you get

Edge AI near Workers

Quota/unit based

Model availability varies

Best with Cloudflare backend

Gotchas

No gotchas documented yet. Contribute one if you know a constraint we missed.

Sources

cloudflare edge workers

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