Analysis Summary
Solar Pro 3 is Upstage's economical text model, offering a 131K context window, tool use, and function calling. Its measured instruction-following and tool-interaction results are more useful than its low general intelligence and coding results suggest, particularly for structured prompts.
The price profile is highly attractive for bulk SEO drafts, classification, extraction, rewriting, and other repeatable tasks. It is less suitable for complex research, autonomous agents, or demanding software engineering, and text-only input prevents direct image or file-vision workflows. Its long context helps with moderately large text collections but does not compensate for limited reasoning depth.
Use Solar Pro 3 as a volume model with validation and escalation paths. It can reduce cost effectively for routine production, while a stronger model handles strategy, factual synthesis, and difficult client revisions.
Assessed September 7, 2026
Editorial notes
Solar Pro 3 is an inexpensive text model with strong instruction adherence on measured tasks, tool support, and a 131K context. Limited reasoning, coding, and agentic results restrict it to supervised, high-volume workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Solar Pro 3 is an inexpensive text model with strong instruction adherence on measured tasks, tool support, and a 131K context. Limited reasoning, coding, and agentic results restrict it to supervised, high-volume workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
14.5 Intelligence Index·16.2 Coding Index·2.9 Agentic Index
How Upstage: Solar Pro 3 compares
Upstage: Solar Pro 3 ranks #178 of 438 AI models we track for overall intelligence, #161 of 210 for coding, #147 of 192 for agentic tasks. Its 131K-token context window is larger than 47% of the models we list. At $0.15 per million input tokens it is cheaper than 60% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $0.60 | $0.000600 |
What would Upstage: Solar Pro 3 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Upstage: Solar Pro 3 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Upstage: 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..
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Frequently asked questions about Upstage: Solar Pro 3
How much does Upstage: Solar Pro 3 cost?
Upstage: Solar Pro 3 costs $0.15 per million input tokens and $0.60 per million output tokens.
What is the context window of Upstage: Solar Pro 3?
Upstage: Solar Pro 3 has a context window of 131,072 tokens (131K).
Is Upstage: Solar Pro 3 good for coding?
On our coding benchmark index, Upstage: Solar Pro 3 ranks #161 of 210 models, placing it in the broader range of the field for code generation and debugging.
What can Upstage: Solar Pro 3 do?
Upstage: Solar Pro 3 supports tool use and function calling.
Who created Upstage: Solar Pro 3?
Upstage: Solar Pro 3 is developed by Upstage and was released on January 27, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 18, 2026 8:38 pm