7.7
Intelligence Index
Above 23% of 46 other free models
Me
Meta: Llama 3.3 70B Instruct
Free allowance
Up to10,000neurons / day
via Cloudflare
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
- text
- Output
- text
Providers
Available through 1 free provider. Use the model ID and API settings below to connect.
* The provider match may differ from this model. Check its docs for details.
Benchmarks
Compare scores and explore results by category.
11.9
Coding Index
Above 18% of 33 other free models
Bars show scores from other free models on this site. The marker shows this model’s score. Comparisons include only models with a score for that index.
Scores from Artificial AnalysisFrequently asked questions
Free access, setup, and what to expect.
Llama 3.3 70B Instruct is available with up to 10,000 neurons / day free through Cloudflare. Free allowances can change. Check the Llama 3.3 70B Instruct provider limits before you start.
To use Llama 3.3 70B Instruct, choose one of the listed Llama 3.3 70B Instruct API providers and follow the provider’s account and API-key setup guide. Copy the Llama 3.3 70B Instruct model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
Llama 3.3 70B Instruct accepts text as listed input formats. Listed output formats include text. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Llama 3.3 70B Instruct documentation for supported file types and request formats.
Llama 3.3 70B Instruct has a listed context window of 131K tokens. Tokens are small pieces of content rather than a word count. Instructions, conversation history, and other inputs use context space, and the response also needs room. The maximum output length for Llama 3.3 70B Instruct may be smaller than the context window and can vary by provider.
Llama 3.3 70B Instruct has tool calling support listed; reasoning support isn’t listed. Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
Review the listed Llama 3.3 70B Instruct benchmark results to compare performance on measured tasks. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate Llama 3.3 70B Instruct on examples from your own task alongside context size and provider limits.