Skip to content

Solar Pro 3

Verified

Powerful closed LLM built for extended text context handling.

UpstageLanguage ModelsClosed
Model page
Updated 2026-06-14

About Solar Pro 3

Solar Pro 3 employs an advanced transformer-based design optimized for text inputs. Its 128000-token context window enables processing of lengthy documents and multi-turn dialogues without truncation. Upstage maintains full control as the model is not released as open weights.

Strengths center on coherence across extended sequences and consistent output quality. The text modality keeps the system focused on language tasks without multimodal overhead. This setup suits scenarios demanding sustained context awareness.

Common applications include document summarization, technical writing assistance, and complex question answering. Teams access the model through managed APIs for integration into business workflows. Its closed nature supports regular updates and enterprise-grade reliability.

Capabilities

Long-context reasoning
Text generation
Instruction following
Question answering
Content summarization
Logical reasoning over documents

How Solar Pro 3 compares

Solar Pro 3 (striped bar) vs other language models on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · Solar Pro 3 ranks #29 of 78

$0.40
Llama 3.3 Nemotron Super 49B V1.5
$0.40
Qwen3 30B A3B Thinking 2507
$0.41
DeepSeek V3.2 Exp
$0.45
Nemotron 3 Super
$0.50
Cydonia 24B V4.1
$0.50
Olmo 3 32B Think
$0.60
Solar Pro 3
$0.63
Ring-2.6-1T
$0.63
Ling-2.6-1T
$0.75
Mercury 2
$0.78
Qwen Plus 0728
$0.78
Qwen Plus 0728
$0.78
Qwen3 Next 80B A3B Thinking

Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).

Best for

Long Document Analysis

Solar Pro 3 excels at logical reasoning over documents up to 128k tokens, making it suitable for reviewing lengthy legal contracts or research reports and extracting key insights.

Comprehensive Content Summarization

The model handles content summarization of extensive texts such as books or technical manuals while preserving context and accuracy across the full input.

Complex Question Answering

It supports question answering that requires cross-referencing multiple sections in large datasets, ideal for enterprise knowledge base queries or multi-document analysis.

Strengths & limitations

Strengths

  • +Strong handling of extended text inputs
  • +Efficient text-only processing
  • +Versatile for language tasks

Limitations

  • Text modality only
  • No vision or multimodal support
  • Performance depends on training data quality

Cost calculator

Estimate what Solar Pro 3 would cost for your usage.

$0.00045
per request
$4.5
estimated / month

Based on Solar Pro 3's $0.15/1M input · $0.60/1M output. Estimate only — actual cost varies by provider and caching.

Quick start

OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.

JavaScript · openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://openrouter.ai/api/v1",
  apiKey: process.env.OPENROUTER_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "upstage/solar-pro-3",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(completion.choices[0].message.content);

Model slug: upstage/solar-pro-3

Editor's verdict

Our take on Solar Pro 3

Solar Pro 3 is Upstage's proprietary language models with a 128K-token context window.

At $0.60 per 1M output tokens, it is very cost-efficient for its class.

It is available through Upstage's API and aggregators like OpenRouter.

Best suited to strong handling of extended text inputs and efficient text-only processing.

Did you find this helpful?

Frequently asked questions

Solar Pro 3 supports a context window of 128000 tokens.

User reviews

Real, verified reviews from the community shape this model's rating.

Loading reviews…

Sign in to review

Promote Solar Pro 3

Add this badge to your website, or share the tool.

DFeatured on DhanasviSolar Pro 3 1