
Llama 2 Chat 70B
Largest conversation version of Meta's Llama 2 series with 70B parameter scale. Features powerful conversation capabilities and complex reasoning performance, excelling across multiple benchmarks. Optimized through RLHF technology, ensuring output safety and usefulness while maintaining strong capabilities, suitable for professional applications requiring high-quality conversational AI, handling complex conversation and reasoning tasks.
Intelligence(Weak)
Speed(Slow)
Input Supported Modalities
Yes
Is Reasoning Model
4,096
Context Window
-
Maximum Output Tokens
-
Knowledge Cutoff
Pricing
- /M tokens
Input
- /M tokens
Output
- /M tokens
Blended Price
Quick Simple Comparison
Llama 4 Scout
¥0.08
Llama 4 Maverick
¥0.17
Llama 3.2 Instruct 1B
Basic Parameters
Llama 2 Chat 70BTechnical Parameters
Parameter Count
Not Announced
Context Length
4,096 tokens
Training Data Cutoff
Open Source Category
Open Weights (Permissive License)
Multimodal Support
Text Only
Throughput
Release Date
2023-07-18
Response Speed
0 tokens/s
Benchmark Scores
Below is the performance of Llama 2 Chat 70B in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
20
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
40.6
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
32.7
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
5
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
9.8
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
-
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
32.3
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