What is Solar Pro 3 API?
Solar Pro 3 is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 128,000 tokens / Max output: —
- Endpoint: /chat/completions
Performance Benchmarks
[embed]
Solar Pro 3 API Pricing
- Input: $0.195 / 1M tokens
- Output: $0.78 / 1M tokens
Where to Use Solar Pro 3
Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.
Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.
Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.
Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.
Code Sample
[embed]
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Complex queries and multi-step reasoning workflows are documented uses for Solar Pro 3. The model is also documented as suited to fine-grained interpretation of user intent in enterprise-grade scenarios.
Tool use for multi-step task execution is another stated use case for Solar Pro 3. Upstage also says the model supports agent workflow tasks that include tool calls.
Coding-related workloads are documented as a use case, including coding benchmarks and code assistance. The model is also described as useful for coding-related questions and programming guidance.
Document analysis and enterprise document search are listed uses for the model. It is also described as suitable for contract review support and invoice extraction automation.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "upstage/solar-pro-3", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "upstage/solar-pro-3", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"upstage/solar-pro-3","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 7.8 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Coding | 16.2 | Composite score across standardised coding evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Solar Pro 3 This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Solar Pro 3 has a 128,000 tokens context window.
Solar Pro 3 takes image, text as input and returns text.
Use upstage/solar-pro-3 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Solar Pro 3 is priced at input $0.20631 / 1M tokens, output $0.82524 / 1M tokens, cached input $0.020631 / 1M tokens.
Yes, Solar Pro 3 can stream responses as they are generated.
Yes, Solar Pro 3 accepts image input alongside text.
Solar Pro 3 was built by Upstage.
Yes, it supports function calling, parallel tool calls, and tool integration.
