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Solar Pro 2 (Preview)
Preview release of Solar Pro 2, demonstrating how compact yet powerful 31B model design competes with larger models. Features multilingual excellence and innovative architectural design with outstanding performance in Korean, English, Japanese. Provides free preview access until July 15, 2025, letting users experience next-generation efficient language model capabilities early.
Intelligence(Medium)
Speed(Slow)
Input Supported Modalities
Yes
Is Reasoning Model
64,000
Context Window
-
Maximum Output Tokens
-
Knowledge Cutoff
Pricing
- /M tokens
Input
- /M tokens
Output
- /M tokens
Blended Price
Quick Simple Comparison
Solar Pro 2
Solar Pro 2 (Reasoning)
Solar Pro 2 (Preview)
Basic Parameters
Solar Pro 2 (Preview)Technical Parameters
Parameter Count
Not Announced
Context Length
64.00k tokens
Training Data Cutoff
Open Source Category
Proprietary
Multimodal Support
Text Only
Throughput
Release Date
2025-05-20
Response Speed
0 tokens/s
Benchmark Scores
Below is the performance of Solar Pro 2 (Preview) in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
44.6
Large Language Model Intelligence Level
Coding Index
32.86
Indicator of AI model performance on coding tasks
Math Index
58.37
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
72.5
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
54.4
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
3.8
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
38.5
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
27.2
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
88
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
87.1
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
29.7
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