Solar Pro 3

Solar Pro 3

UpstageLLM

Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performance while maintaining computational efficiency. Optimized...

API AvailableTool CallingReasoning

Specifications

Context Window

128K tokens

Input Price/1M

Output Price/1M

Parameters

00

Benchmarks

Solar Pro 3 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Agentic

BenchmarkScoreMaximumMethodology
Terminal-Bench Hard8.0100.0

Coding

BenchmarkScoreMaximumMethodology
SciCode25.0100.0
AA Coding Index16.2100.0Artificial Analysis official API

Long Context

BenchmarkScoreMaximumMethodology
AA-LCR27.0100.0

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index14.1100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
GPQA Diamond72.0100.0Artificial Analysis official API
IFBench71.0100.0
HLE10.0100.0

Tool Use

BenchmarkScoreMaximumMethodology
Tau²-Bench86.0100.0

Information

Release date
April 06, 2026
Tool Calling
✅ Supported
Vision
❌ Not supported
Audio
❌ Not supported

Full Analysis: Solar Pro 3

What is Solar Pro 3?

Solar Pro 3 is an AI model developed by Upstage, classified as a large language model (LLM). It focuses on text processing and natural language generation. As a proprietary model, it is available via Upstage's cloud API. With a context window of 128K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.

Pricing & Costs in 2026

Solar Pro 3 does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Upstage's official website for up-to-date availability and pricing.

Benchmarks & Performance

Solar Pro 3 was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show solid performance across available evaluations.

It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.

Recommended Use Cases

Solar Pro 3 is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.

Comparison with Alternatives

In the 2026 AI model ecosystem, Solar Pro 3 competes directly with similarly capable models. Upstage competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.

For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.

Frequently Asked Questions

What is Solar Pro 3?

Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performance while maintaining computational efficiency. Optimized...

How much does Solar Pro 3 cost?

Solar Pro 3 does not have public per-token pricing available at this time. Check Upstage's official website for up-to-date information.

How does Solar Pro 3 compare with other models?

In available benchmarks, Solar Pro 3 scored: Terminal-Bench Hard: 8/100, SciCode: 25/100, AA Coding Index: 16.2/100. See the full table above for a detailed comparison.

Is Solar Pro 3 open source?

No, Solar Pro 3 is a proprietary model from Upstage. It is available via cloud API. For open source alternatives, check our open source model ranking.

What is Solar Pro 3 best for?

Solar Pro 3 excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.

Last updated: June 22, 2026 View methodology →