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Meta: Llama 3.3 70B Instruct
Llama3
Input: text
Output: text
Released: Dec 6, 2024•Updated: Mar 28, 2025
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 is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.
Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.
131,072 Token Context
Process and analyze large documents and conversations.
Advanced Coding
Improved capabilities in front-end development and full-stack updates.
Agentic Workflows
Autonomously navigate multi-step processes with improved reliability.
Available On
| Provider | Model ID | Context | Max Output | Input Cost | Output Cost | Throughput | Latency |
|---|---|---|---|---|---|---|---|
| DeepInfra | deepInfraTurbo | 131K | 16K | $0.07/M | $0.25/M | 28.6 t/s | 263 ms |
| Kluster | klusterAi | 131K | 131K | $0.07/M | $0.33/M | 35.7 t/s | 826 ms |
| Lambda | lambda | 131K | 131K | $0.12/M | $0.30/M | 61.9 t/s | 379 ms |
| Phala | phala | 131K | - | $0.12/M | $0.35/M | 34.7 t/s | 562 ms |
| Novita | novitaAi | 131K | 120K | $0.13/M | $0.39/M | 73.2 t/s | 698 ms |
| Crusoe | crusoe | 131K | 2K | $0.13/M | $0.40/M | 31.2 t/s | 1030 ms |
| Nebius | nebiusAiStudio | 131K | - | $0.13/M | $0.40/M | 34.2 t/s | 649 ms |
| DeepInfra | deepInfra | 131K | - | $0.23/M | $0.40/M | 25.4 t/s | 404 ms |
| Parasail | parasail | 131K | 131K | $0.28/M | $0.78/M | 85.3 t/s | 459 ms |
| NextBit | nextBit | 33K | - | $0.28/M | $2.20/M | 27.0 t/s | 2967 ms |
| Cloudflare | cloudflare | 24K | - | $0.29/M | $2.25/M | 33.6 t/s | 487 ms |
| Cent-ML | centMl | 131K | 131K | $0.35/M | $0.35/M | 71.0 t/s | 629 ms |
| InoCloud | inoCloud | 131K | 131K | $0.35/M | $0.50/M | 30.3 t/s | 1144 ms |
| Hyperbolic | hyperbolic | 131K | - | $0.40/M | $0.40/M | 36.9 t/s | 1145 ms |
| Groq | groq | 131K | 33K | $0.59/M | $0.79/M | 383.9 t/s | 444 ms |
| Friendli | friendli | 131K | 131K | $0.60/M | $0.60/M | 107.5 t/s | 749 ms |
| SambaNova | sambaNova | 131K | 3K | $0.60/M | $1.20/M | 347.1 t/s | 790 ms |
| vertex | 128K | - | $0.72/M | $0.72/M | 81.0 t/s | 380 ms | |
| Cerebras | cerebras | 32K | 32K | $0.85/M | $1.20/M | 2926.8 t/s | 268 ms |
| Together | together | 131K | 2K | $0.88/M | $0.88/M | 52.1 t/s | 1121 ms |
| Fireworks | fireworks | 131K | - | $0.90/M | $0.90/M | 74.7 t/s | 705 ms |
| InferenceNet | inferenceNet | 128K | 16K | $0.10/M | $0.25/M | - | - |
Standard Pricing
Input Tokens
$0.00000007
per 1K tokens
Output Tokens
$0.00000025
per 1K tokens