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MetaReleased December 6, 2024

Llama 3.3 70B

Meta · Released December 6, 2024

Intelligence score

9

At a glance

Intelligence
9
Speed
85.5tokens/sec
Latency
1.59stime to first token
Input price
$0.58per 1M tokens
Output price
$0.71per 1M tokens
Context window
130Ktokens
Parameters
70billions

Summary

Comparison summary

Llama 3.3 Instruct 70B scores 9 on the Artificial Analysis Intelligence Index, placing it above average among other open weight non-reasoning models of similar size (median: 7). Llama 3.3 Instruct 70B generates output at 85.5 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: 81.5 t/s). Llama 3.3 Instruct 70B costs $0.58 per 1M input tokens (somewhat higher than average, median: $0.53) and $0.71 per 1M output tokens (better than average, median: $1.05), based on the median across providers serving the model.

Specifications

Technical specifications

Model nameLlama 3.3 70B
ProviderMeta
Release dateDecember 6, 2024
Intelligence score9
Speed85.5 tokens/sec
Latency (TTFT)1.59s
Input price$0.58 / 1M tokens
Output price$0.71 / 1M tokens
Context window130,000 tokens
Parameters70B
ReasoningNo
Input modalitiestext
Output modalities—
Open weightsYes
LicenseLLAMA 3
API availability—
SourceModel Intelligence legacy profile: llama-3-3-instruct-70b

Pricing

Token prices

Price per 1M tokens

Llama 3.3 70B, as listed in the catalog record

Input $0.58 and output $0.71 per 1M tokens. Missing prices are hatched and marked "Not published".
  1. Input$0.58
  2. Output$0.71

Model Intelligence legacy profile: llama-3-3-instruct-70b

FAQ · 21

Frequently asked questions

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 9 on the Artificial Analysis Intelligence Index, placing it above average among other open weight non-reasoning models of similar size (median: 7).

Llama 3.3 Instruct 70B generates output at 85.5 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: 81.5 t/s).

Llama 3.3 Instruct 70B has a time to first token (TTFT) of 1.59s (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: 1.59s).

Llama 3.3 Instruct 70B costs $0.58 per 1M input tokens (somewhat higher than average, median: $0.53) and $0.71 per 1M output tokens (better than average, median: $1.05), 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 (7:2:1 cache hit/input/output ratio), this is $0.59 per 1M tokens. Pricing may vary by provider.

When evaluated on the Intelligence Index, Llama 3.3 Instruct 70B generated 3.8M output tokens, which is very competitive compared to other open weight non-reasoning models of similar size (median: 9.2M).

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.

Llama 3.3 Instruct 70B achieves a score of 9 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 19 providers.

Llama 3.3 Instruct 70B is available through 19 API providers.