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...
| Provider | In $/M | Out $/M | Context | Uptime |
|---|---|---|---|---|
| DeepInfrafp8 | $0.100 | $0.320 | 131K | 94.5% |
| Nebiusfp8 | $0.130 | $0.400 | 131K | 56.3% |
| AkashMLfp8 | $0.130 | $0.400 | 131K | 99.5% |
| Novitabf16 | $0.135 | $0.400 | 6K | 97.3% |
| Parasailfp8 | $0.220 | $0.500 | 131K | 94.6% |
| Crusoebf16 | $0.250 | $0.750 | 131K | 100% |
| Cloudflarefp8 | $0.293 | $2.25 | 24K | 97.5% |
| SambaNovabf16 | $0.450 | $0.900 | 16K | 89.5% |
| Groq | $0.590 | $0.790 | 131K | 100% |
| CoreWeavefp16 | $0.710 | $0.710 | 128K | 100% |
| $0.720 | $0.720 | 128K | 98.4% | |
| $0.720 | $0.720 | 128K | 100% | |
| Togetherfp8 | $1.04 | $1.04 | 131K | 99.6% |
Llama 3.3 70B Instruct costs $0.130 per million input tokens and $0.400 per million output tokens via OpenRouter, making it 69th cheapest of 332 paid models.
Llama 3.3 70B Instruct supports a 131K-token context window and can output up to 128K tokens. It accepts text input.