Llama 3.3 70B Instruct
by Meta · meta-llama/llama-3.3-70b-instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
- Input / 1M tokens
- $0.10
- Output / 1M tokens
- $0.32
- Context
- 131K
Specs
| Input price | $0.10 / 1M tokens |
|---|---|
| Output price | $0.32 / 1M tokens |
| Context window | 131K tokens |
| Max output | 16.4K tokens |
| Reads | text |
| Writes | text |
| Tool calling | Yes |
| Reasoning | No |
| Listed | Dec 6, 2024 |
List prices in USD, updated Oct 30, 2026. Providers may charge differently.
Providers
10 providers serve this model, as of Oct 30, 2026, 18:12 UTC.
| Provider | Quantization | Context | Max output | Input / 1M | Output / 1M | Cache read / 1M | Uptime (30 min) | Latency (median) | Throughput (median) | Supports | Status |
|---|---|---|---|---|---|---|---|---|---|---|---|
| DeepInfra | fp8 | 131K | 16.4K | $0.10 | $0.32 | — | 100% | 449 ms | 20 tok/s | Normal | |
| Novita | bf16 | 12.3K | 11.1K | $0.135 | $0.40 | — | 100% | 1.05 s | 28 tok/s | Normal | |
| AkashML | fp8 | 131K | 128K | $0.20 | $0.52 | $0.10 | 100% | 457 ms | 45 tok/s | Normal | |
| Parasail | fp8 | 131K | 16.4K | $0.22 | $0.50 | $0.11 | 100% | 746 ms | 47 tok/s | Normal | |
| SambaNova | — | 131K | 3.07K | $0.45 | $0.90 | — | 100% | 728 ms | 101 tok/s | Normal | |
| Groq | — | 131K | 32.8K | $0.59 | $0.79 | $0.295 | 100% | 314 ms | 198 tok/s | Normal | |
| CoreWeave | fp16 | 128K | 115K | $0.71 | $0.71 | $0.71 | 100% | 151 ms | 87 tok/s | Normal | |
| — | 128K | 8.19K | $0.72 | $0.72 | — | — | — | — | Normal | ||
| — | 128K | 115K | $0.72 | $0.72 | — | — | — | — | Normal | ||
| Cloudflare | fp8 | 24K | 21.6K | $0.293 | $2.25 | — | 100% | 593 ms | 37 tok/s | Normal |
"Cheapest" is the lowest input plus output price; "Fastest" the highest median throughput. Columns empty for every provider are not shown.
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