Inference
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Upstage

Solar Pro 3

Solar Pro 3 is a reasoning model from Upstage in the Solar family. 9 benchmarks count toward its index, in 5 categories.

  • Closed weights
  • Reasoning
  • Input: text
  • Released 2026-01
  • Retires 30 Oct 2026
RankedEnough results for an index.
IndexAll categories, out of 100.39.2±7.9Median 51.0
CoverageIndex weight that has results.75%
SpeedOutput tokens per second.114/sMedian 67/s
First tokenSeconds to the first output token.0.2 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.15Median $0.60
Output / 1MUS dollars per 1M output tokens.$0.60Median $2.55
ContextMaximum tokens in one request.131KMedian 262K
EloLMArena rating and rank.—Median 1422

Details

From OpenRouter
API IDThe model ID on OpenRouter.
upstage/solar-pro-3
Max outputMaximum output tokens per request.
118K
Knowledge cutoffLast date of training data.
—
ToolsTool calls on OpenRouter.
Yes
JSON outputOutput follows a given JSON schema.
Yes
Cache read / 1MUS dollars per 1M cached tokens.
$0.015
WeightsLink to the published weights.
—
RetiresDate OpenRouter removes the model.
30 Oct 2026

Capabilities

Index per category, out of 100.
Out of 100
AgenticMulti-step tasks with tools.2 counted47.0155 / 218
CodingCode writing and repair.1 counted29.1—
ReasoningLogic problems and puzzles.2 counted33.2196 / 227
MultimodalTasks with images and text.None counted——
KnowledgeFacts and expert knowledge.3 counted37.4212 / 268
MultilingualTasks in many languages.None counted——
InstructionTasks with strict prompt rules.1 counted48.4—
MathMath problems.None counted——

Results

9 counted
BenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Artificial Analysis IFBenchInstructionAbove fitFar above this model's index.71.2%39 / 146
τ²-Bench Tool-Agent-User EvaluationAgenticAbove fitFar above this model's index.86.3%51 / 149
Artificial Analysis Humanity's Last ExamKnowledge10.3%144 / 222
Artificial Analysis GPQA DiamondKnowledge72.4%131 / 199
Critical Physics TasksReasoning0.0%150 / 214
GDPval-AA normalizedAgentic0.0%101 / 133
Artificial Analysis Long Context ReasoningReasoning32.3%176 / 217
Artificial Analysis Omniscience AccuracyKnowledge18.5%136 / 164
Instruction Following BenchmarkInstruction55.8%49 / 57
Artificial Analysis SciCodeCoding25.5%107 / 114

Sources

BenchLMCC BY-NC 4.0OpenRouterTerms restrict reuse

History

5 releases
Index39.8 → 39.2
23 Oct 202612 Nov 2026
Output / 1M$0.60 → $0.60
23 Oct 202612 Nov 2026

Questions

How much does Solar Pro 3 cost?
$0.15 per 1M input tokens, $0.60 per 1M output tokens.
How good is Solar Pro 3?
Its index is 39.2 out of 100. That is place 213 of 283 ranked models.
What is Solar Pro 3 best at?
Agentic: 47.0 out of 100, place 155 of 218.
How fast is Solar Pro 3?
114 output tokens per second, 0.2 s to the first token.
What is the context window of Solar Pro 3?
131K tokens.
Is Solar Pro 3 open source?
No. Its weights are not published.
When was Solar Pro 3 released?
January 2026.

Badge

Solar Pro 3 on Inference360: place 213 of 283, index 39.2
HTML
<a href="https://inference360.ai/models/solar-pro-3"><img src="https://inference360.ai/badges/solar-pro-3.svg" alt="Solar Pro 3 on Inference360: place 213 of 283, index 39.2" height="20"></a>
Markdown
[![Solar Pro 3 on Inference360: place 213 of 283, index 39.2](https://inference360.ai/badges/solar-pro-3.svg)](https://inference360.ai/models/solar-pro-3)

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