
Snowflake Llama 3.3 70B
Enterprise-grade 70B parameter model developed by Snowflake based on Llama 3.3, optimized for data cloud environments. Combines Llama 3.3's advanced capabilities with Snowflake's expertise in enterprise data processing. Particularly suitable for large-scale data analysis, business intelligence, and enterprise AI applications, providing seamless AI integration experience within Snowflake ecosystem.
Intelligence(Relatively Weak)
Speed(Slow)
Input Supported Modalities
No
Is Reasoning Model
128,000
Context Window
128,000
Maximum Output Tokens
2023-12-01
Knowledge Cutoff
Pricing
¥1.44 /M tokens
Input
¥1.44 /M tokens
Output
- /M tokens
Blended Price
Quick Simple Comparison
Snowflake Llama 3.3 70B
¥0.2
Arctic Instruct
Basic Parameters
Snowflake Llama 3.3 70BTechnical Parameters
Parameter Count
70,000.0M
Context Length
128.00k tokens
Training Data Cutoff
2023-12-01
Open Source Category
Proprietary
Multimodal Support
Text Only
Throughput
2,220
Release Date
2025-01-16
Response Speed
0 tokens/s
Benchmark Scores
Below is the performance of Snowflake Llama 3.3 70B in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
34.34
Large Language Model Intelligence Level
Coding Index
-
Indicator of AI model performance on coding tasks
Math Index
-
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
68.9
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
50.5
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
-
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
-
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
-
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
88.4
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
68.9
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
-
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
GPT 5 Mini
openai

¥1.8
Input tokens/million
¥14.4
Output tokens/million
400k
Context Length
GPT 5 Standard
openai

¥63
Input tokens/million
¥504
Output tokens/million
400k
Context Length
GPT 5 Nano
openai

¥0.36
Input tokens/million
¥2.88
Output tokens/million
400k
Context Length
GPT 5
openai

¥9
Input tokens/million
¥72
Output tokens/million
400k
Context Length
GLM 4.5
chatglm

¥0.43
Input tokens/million
¥1.01
Output tokens/million
131k
Context Length
Gemini 2.0 Flash Lite (Preview)
google

¥0.58
Input tokens/million
¥2.16
Output tokens/million
1M
Context Length
Gemini 1.0 Pro
google

¥3.6
Input tokens/million
¥10.8
Output tokens/million
33k
Context Length
Qwen2.5 Coder Instruct 32B
alibaba

¥0.65
Input tokens/million
¥0.65
Output tokens/million
131k
Context Length