Upstage: Solar Pro 3

Public pricingIntelligence 79/100Medium memoryटूल उपयोग

Upstage: Solar Pro 3 एक टेक्स्ट मॉडल है, जिसे सामान्य चैट, विश्लेषण और production use के लिए बनाया गया है। यह कम latency और efficient inference, 128K tokens का context और कम लागत profile जोड़कर general chat, analysis, and production workloads में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब latency, cost और throughput महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.15/1M

Output

$0.60/1M

Cached

$0.01/1M

Batch

$0.15/1M

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What would Solar Pro 3 cost you?

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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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