Claude 3.5 Sonnet (Oct '24)
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Claude 3.5 Sonnet (Oct '24)

October 2024 release of Claude 3.5 Sonnet from Anthropic with important improvements over previous versions. Features enhanced reasoning capabilities, better code generation, and improved conversation quality. This version maintains Claude series' consistent safety and reliability while improving performance on complex tasks, suitable for professional users and enterprise applications requiring high-quality AI assistants.
Intelligence(Medium)
Speed(Relatively Slow)
Input Supported Modalities
Yes
Is Reasoning Model
200,000
Context Window
-
Maximum Output Tokens
-
Knowledge Cutoff

Pricing

- /M tokens
Input
- /M tokens
Output
¥43.2 /M tokens
Blended Price

Quick Simple Comparison

Input

Output

Claude Opus 4.1
¥15
Claude 4 Sonnet
¥3
Claude 3.5 Haiku
¥0.8

Basic Parameters

Claude 3.5 Sonnet (Oct '24)Technical Parameters
Parameter Count
Not Announced
Context Length
200.00k tokens
Training Data Cutoff
Open Source Category
Proprietary
Multimodal Support
Text Only
Throughput
Release Date
2024-10-22
Response Speed
78.20,164 tokens/s

Benchmark Scores

Below is the performance of Claude 3.5 Sonnet (Oct '24) in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
44.44
Large Language Model Intelligence Level
Coding Index
37.33
Indicator of AI model performance on coding tasks
Math Index
46.4
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
77.2
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
59.9
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
3.9
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
38.1
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
36.6
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
93
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
77.1
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
15.7
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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