Upstage

Solar Pro 4

UpstageBalanced
ThinkingTool UseStructured Output

About this model

Solar Pro 4 is Upstage's cost-efficient large language model, featuring a 524K context window. It is built for long-horizon tasks and agentic workflows, with strong capabilities in office productivity, document-intensive...

Performance Tier

Balanced

Solar Pro 4 is a balanced model from Upstage : strong performance at a reasonable price.

Strong cost-performance ratio. Reliable for most professional use cases without premium pricing.

Pricing

This model is included in Elosia plans
Eco

Minimal cost. Ideal for very high volume or simple tasks.

Typeper 1M tokens
Input (prompt)$0.030
Output (completion)$0.120
Cache read$0.0060

Capabilities

Context Length524K
Max Output Tokens131K
TokenizerOther
Inputtext
Outputtext
Release DateAugust 10, 2026

Benchmarks

General Intelligence
MMLU
Not reported
MMLU-Pro
86.3%
GPQA Diamond
89%
Mathematics
MATH-500
Not reported
AIME 2026
95.3%
Programming
HumanEval
Not reported
SWE-bench Verified
70.6%
LiveCodeBench
87.8%
Agentic
Terminal-Bench 2.1
57%

Where does Solar Pro 4 stand?

Compare its performance index against every other model.

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Recommended Use Cases

CodingAnalysisTranslationGeneral Chat

Strengths

  • 512K-token context with up to 128K of output in a single response
  • Tool calling supported on the API, for long-horizon agentic loops rather than single-turn answers
  • Competition mathematics, code generation and general reasoning are all part of the reported suite, so the scope is not code alone
  • English, Korean and Japanese supported, with a documented Korean and Japanese specialisation covering medical and legal domain suites

Limitations

  • Agentic execution, precisely what the model claims, is its softer axis next to its own reasoning results
  • Most of the published benchmark rows are self-evaluated in house rather than measured by a third party. Hard scope limits on top: text only, three languages, closed weights

Frequently asked questions

Resources

This model may use your data for training

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