Llama 3.3 70B Instruct
Built by Meta · United States · llama.com
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...
How to use
model: "meta-llama/llama-3.3-70b-instruct"
Cap quality here and save
Hard questions go to this model, easy ones drop to something cheaper. Set a savings target (0–0.8) and the router tunes itself until realized savings converge on it.
{ "model": "celon/auto", "celon": { "anchor": "meta-llama/llama-3.3-70b-instruct", "savings_target": 0.4 } }
Naming a model directly gets you that model — savings controls don't apply.
Context
Max output
Input $/1M
Output $/1M
Features
Serving providers
DeepInfra
Novita
W&B InferenceProviders
Price, latency, and uptime per provider serving this model. Celon routes each request to the fastest and cheapest of them. Click a row for regions and data policies.
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Performance
Benchmark quality scores, and measured speed per provider.
Quality
At each model's best reasoning effort. Benchmarks it wasn't run on are omitted.
Speed
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