S

Solar Mini

Compact version of Upstage's Solar series, designed for efficiency and performance balance. Though smaller in parameter scale, carefully optimized to provide reliable AI capabilities. Particularly advantageous in Korean processing while supporting multilingual tasks, suitable for small to medium applications and scenarios with certain resource limitations, providing efficient AI solutions for Korean users.
Intelligence(Relatively Weak)
Speed(Relatively Slow)
Input Supported Modalities
Yes
Is Reasoning Model
4,096
Context Window
-
Maximum Output Tokens
-
Knowledge Cutoff

Pricing

- /M tokens
Input
- /M tokens
Output
¥1.08 /M tokens
Blended Price

Quick Simple Comparison

Input

Output

Solar Pro 2
Solar Pro 2 (Reasoning)
Solar Pro 2 (Preview)

Basic Parameters

Solar MiniTechnical 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
2024-01-25
Response Speed
95.10,944 tokens/s

Benchmark Scores

Below is the performance of Solar Mini in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
33.37
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
-
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
-
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
59
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
33.1
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)
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