Llama 3.3 70B Instruct (fp8-fast) pricing
Llama 3.3 70B Instruct (fp8-fast), Flagship-tier from Cloudflare Workers AI, costs $0.293 per 1M input tokens and $2.25 per 1M output tokens.
Input$0.293per 1M tokens
Output$2.25per 1M tokens
Context window—tokens
TierFlagshipCloudflare Workers AI
Price your own workload against Llama 3.3 70B Instruct (fp8-fast) in the calculator →
Specs and pricing
| Provider | Cloudflare Workers AI |
| Tier | Flagship |
| Context window | — |
| Max output | — |
| Input price | $0.293 / 1M tokens |
| Output price | $2.25 / 1M tokens |
| Modalities | text |
Note. Page lists this model (@cf/meta/llama-3.3-70b-instruct-fp8-fast) at both an explicit USD/1M-token rate and an equivalent neuron rate (26668 neurons per M input tokens, 204805 neurons per M output tokens at $0.011/1000 neurons); the USD figures shown here are the page's stated USD/1M figures directly.
What it costs at realistic volumes
Assuming a 4:1 input:output token ratio, a common shape for chat and RAG-style workloads:
| Volume (4:1 in:out ratio) | Input cost | Output cost | Total / month |
|---|---|---|---|
| 1,000,000 in / 250,000 out | $0.29 | $0.56 | $0.86 |
| 10,000,000 in / 2,500,000 out | $2.93 | $5.63 | $8.56 |
| 100,000,000 in / 25,000,000 out | $29.30 | $56.33 | $85.63 |
Cheaper alternatives
Same tier (Flagship), a different provider, and a lower blended cost at the 4:1 ratio used above:
| Model | Provider | $/1M in | $/1M out | At the 4:1 ratio |
|---|---|---|---|---|
| Qwen3 235B A22B Instruct 2507 | Novita AI | $0.09 | $0.58 | 72.6% cheaper blended |
| GPT-OSS 120B | Groq | $0.15 | $0.60 | 65% cheaper blended |
| Qwen3 235B-A22B (2507) | Parasail | $0.14 | $0.80 | 60.3% cheaper blended |
| Llama 4 Maverick | Together AI | $0.27 | $0.85 | 43.6% cheaper blended |
| Llama 4 Maverick Instruct | Novita AI | $0.27 | $0.85 | 43.6% cheaper blended |