Llama 3.3 Instruct 70B Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: This information is still being updated |
| Output modality | Supports: This information is still being updated |
| Knowledge cutoff | Dec 1, 2023 |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
| Total parameters | 70B |
| License | LLAMA 3.3 COMMUNITY LICENSE AGREEMENT |
| Model weights | Hugging Face |
Llama 3.3 Instruct 70B is above average in intelligence, but somewhat expensive when comparing to other open weight non-reasoning models of similar size. It's also faster than average, however somewhat verbose. The model has a 128k tokens context window with knowledge up to December 2023.
Llama 3.3 Instruct 70B scores 14 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (averaging 13). When evaluating the Intelligence Index, it generated 3.8M tokens, which is somewhat verbose in comparison to the average of 3.8M.
Pricing for Llama 3.3 Instruct 70B is $0.58 per 1M input tokens (somewhat expensive, average: $0.20) and $0.71 per 1M output tokens (somewhat expensive, average: $0.57). In total, it cost $85.54 to evaluate Llama 3.3 Instruct 70B on the Intelligence Index.
At 90 tokens per second, Llama 3.3 Instruct 70B is faster than average (62).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Llama 3.3 Instruct 70B API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about Llama 3.3 Instruct 70B
Llama 3.3 Instruct 70B was released on December 6, 2024.
Llama 3.3 Instruct 70B was created by Meta.
Llama 3.3 Instruct 70B scores 14 on the Artificial Analysis Intelligence Index, placing it above average among other open weight non-reasoning models of similar size (median: 13).
Llama 3.3 Instruct 70B generates output at 90.1 tokens per second (based on the median across providers serving the model), which is above average compared to other open weight non-reasoning models of similar size (median: 62.4 t/s).
Llama 3.3 Instruct 70B has a time to first token (TTFT) of 1.33s (based on the median across providers serving the model), which is better than average compared to other open weight non-reasoning models of similar size (median: 1.45s).
Llama 3.3 Instruct 70B costs $0.58 per 1M input tokens (somewhat higher than average, median: $0.52) and $0.71 per 1M output tokens (better than average, median: $0.81), based on the median across providers serving the model.
Llama 3.3 Instruct 70B costs $0.58 per 1M input tokens and $0.71 per 1M output tokens (based on the median across providers serving the model). For a blended rate (3:1 input to output ratio), this is $0.64 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Llama 3.3 Instruct 70B generated 3.8M output tokens, which is better than average compared to other open weight non-reasoning models of similar size (median: 3.8M).
No, Llama 3.3 Instruct 70B is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Llama 3.3 Instruct 70B supports text only input.
Llama 3.3 Instruct 70B supports text only output.
No, Llama 3.3 Instruct 70B does not support image input. It can only process text.
No, Llama 3.3 Instruct 70B is not multimodal. It only supports text only input.
Llama 3.3 Instruct 70B has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Llama 3.3 Instruct 70B is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Llama 3.3 Instruct 70B has 70 billion parameters.
Llama 3.3 Instruct 70B is released under the LLAMA 3.3 COMMUNITY LICENSE AGREEMENT license. This license allows commercial use. View license
Llama 3.3 Instruct 70B achieves a score of 14 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Llama 3.3 Instruct 70B has a knowledge cutoff of December 2023. The model's training data includes information up to this date.
Yes, Llama 3.3 Instruct 70B is available via API through 21 providers. Compare API providers
Llama 3.3 Instruct 70B is available through 21 API providers. Compare providers