Why high: an exact fingerprint shared with 2 models.
Upstage: Solar Pro 3 is Upstage's model, and its measured tokenizer sits in Upstage's own signature group alongside its sibling models. No other maker's measured model shares it so far.
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Counts every one of the 50 test strings exactly like 2 other models | tk_865d84ce |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_3dadc38f |
| How much it can read and write | Reads up to 131,072 tokens at onceOpenRouter's listing shows 117,964 output tokens, which is 90% of the context window, the figure it carries where the provider declares no maximum. | its own listing |
| Whether it thinks before answering | Reasons when asked to, at high, medium, low, minimal, none, medium by default | its own listing |
| Who served our requests | Upstage | we measured it, 21 August 2026 |
Click a row to open the full comparison.
We sent Upstage: Solar Pro 3 fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.
Overhead subtracted: 69 prompt tokens.
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...
Supported parameters
frequency_penaltyinclude_reasoningmax_tokensparallel_tool_callspresence_penaltyreasoningreasoning_effortresponse_formatstructured_outputstemperaturetool_choicetoolstop_p
defaults: {"temperature":null,"top_p":null,"top_k":null,"frequency_penalty":null,"presence_penalty":null,"repetition_penalty":null}
