Solar Pro 3
by Upstage · upstage/solar-pro-3 · #105 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:21 PM UTC · refreshed hourly
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 vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.15
per 1M tokens
Output
$0.60
per 1M tokens
Blended (3:1)
$0.262
3 input : 1 output
Cache read
$0.015
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Solar Pro 3 with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.262 | $0.0159 | — |
| 50% | $0.212 | $0.00915 | −42% |
| 90% | $0.171 | $0.00375 | −76% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.000255 | $0.255 |
| Document summary | 8,000 | 1,000 | $0.0018 | $1.80 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0057 | $5.70 |
| Long-context analysis | 150,000 | 5,000 | $0.0255 | $25.50 |
Performance
Intelligence Index
7.8
AA composite quality
Coding Index
16.2
Math Index
—
Agentic Index
1.4
Output speed
153 tok/s
median
Time to first token
1.39s
median
Time to first answer
14.44s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 72.4% |
| Humanity's Last Exam | 10.3% |
| SciCode | 25.5% |
| IFBench | 71.2% |
| AA-LCR (Long Context Reasoning) | 32.3% |
| Terminal-Bench Hard | 7.6% |
| Terminal-Bench 2.1 | 12.0% |
| τ²-Bench (Telecom) | 86.3% |
| τ³-Bench Banking | 8.7% |
Specs
Context window
131K
tokens
Max output
118K
tokens
Input modalities
text
Tokenizer
Other