As of August 20, 2026, Solar Pro 4 API pricing is $0.30 per million input tokens and $1.20 per million output tokens. A typical 100K-in / 20K-out request costs $0.05. Source: https://www.upstage.ai
Source: Upstage pricing (https://www.upstage.ai)
Input $/M
$0.30
Output $/M
$1.20
Blended / 1M
$1.50
100K / 20K request
$0.05
| Context Window | 524.3K |
|---|---|
| Max Output | 131.1K tokens |
| Release Date | 2026-08-06 |
| Knowledge Cutoff | N/A |
| License | Proprietary |
| Throughput | N/A |
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As of August 20, 2026, Solar Pro 4 Upstage API pricing is $0.30 per million input tokens and $1.20 per million output tokens. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://www.upstage.ai
On this page the blended Solar Pro 4 API cost is $1.50 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $2.10.
A typical Solar Pro 4 API request with 100K input tokens and 20K output tokens costs about $0.05 at current rates as of August 20, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from Upstage can bring the real invoice lower than the public list rate at https://www.upstage.ai.
Solar Pro 4 supports a 524K token context window and can generate up to 131K output tokens per request. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
No. Solar Pro 4 is a proprietary model by Upstage. The only public way to call it is Upstage's API, billed per million input and output tokens. There is no self-host option for the weights.
Solar Pro 4 currently reports GPQA 89%, SWE-bench Verified 70.6%, LiveCodeBench 87.8%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
Solar Pro 4 scores 70.6% on SWE-bench Verified. Pair that score with Upstage API pricing on this page: a slightly worse SWE-bench model can still win if it is much cheaper per million tokens. Open the SWE-bench or coding leaderboard from the sidebar for the full ranking, then jump into an LLM comparison against a coding specialist.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated Solar Pro 4 vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut Solar Pro 4. Open-weight models can be cheaper still if you self-host, but that is not the same as Upstage API pricing on this page.
Solar Pro 4 is called through Upstage's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for Upstage and 5+ other providers with auth, payments, and deployment already configured.
This Solar Pro 4 page tracks the latest published Upstage API pricing from Upstage, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://www.upstage.ai. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
Solar Pro 4 is a proprietary model from Upstage. Current API pricing is $0.30 per million input tokens and $1.20 per million output tokens, with a 524.3K token context window. A blended 1M-in / 1M-out workload costs $1.50.
Rank it on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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