Upstage: Solar Pro 3 API Pricing
Upstage: Solar Pro 3 costs $0.150 per 1M input tokens and $0.600 per 1M output tokens (cache reads: $0.015). Context window: 131K. Prices verified 2026-10-21 · source
Alternatives to consider
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+27 quality points for 23% more
Cheapest upstage model — 67% less per month
Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.
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Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.
Token economics
| Token type | Price | vs base input |
|---|---|---|
| Standard input | $0.150 | — |
| Cache read | $0.015 | −90% |
| Output | $0.600 | — |
Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.
Higher effort = deeper thinking = more reasoning tokens billed as output.
What would Upstage: Solar Pro 3 cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $3.60 |
| Coding agent | 5,000 | 8,000 / 2,000 | $12.00 |
| RAG pipeline | 30,000 | 4,000 / 500 | $27.00 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $7.20 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About 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...
Compare Upstage: Solar Pro 3 with
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- Pro 3 vs OpenAI: GPT-5.6 Sol
Popular head-to-heads — see all on the comparisons index.
Frequently asked questions
How much does Upstage: Solar Pro 3 cost?
Upstage: Solar Pro 3 costs $0.150 per 1M input tokens and $0.600 per 1M output tokens; cached input tokens cost $0.015 per 1M. Verified 2026-10-21 — provider source.
What is the context window?
131K tokens, with up to 118K output tokens per response. That's roughly 164 pages of text in a single request.
Does it support prompt caching?
Yes — cached input is $0.015/1M, about 90% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.
What's a cheaper alternative?
ScaleDown: Summarize saves about 90% on a typical workload with comparable quality.
Official resources
- Upstage: Solar Pro 3 on OpenRouter — live endpoint, pricing source of record.
- Artificial Analysis leaderboard → — independent intelligence and performance rankings.
- Shred your current bill — paste a CSV and see if switching saves money.