Upstage: Solar Pro 3

Public pricingIntelligence 79/100Medium memoryToolgebruik

Upstage: Solar Pro 3 is een tekst-model voor algemene chat, analyse en productiegebruik. Het combineert lage latency en efficiënte inferentie, een context van 128K tokens en een laag geprijsd-profiel voor betrouwbaar werk in general chat, analysis, and production workloads.

Input

$0.15/1M

Output

$0.60/1M

Cached

$0.01/1M

Batch

$0.15/1M

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Technical specifications

Solar Pro 3 at a glance.

Memory

128,000

tokens

Max reply

16,384

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Jan 2026

Training cutoff

Oct 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Solar Pro 3

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Solar Pro 3 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Solar Pro 3 costs roughly $35 per month. Input is $0.15 /1M tokens and output is $0.60 /1M tokens.
Solar Pro 3 has a 128,000-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,000 words of input and history in a single call.
Beyond text generation, Solar Pro 3 supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Solar Pro 3 was released in January 2026, with training data cut off around October 2025.
Models in a similar class include Command R (08-2024), DeepSeek V3.1, Rnj 1 Instruct. The "Similar models" section below this FAQ links into each.

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