Intelligence
11.9
12
General reasoning and benchmark headroom.
LimitedSolar Mini is a budget text-first model from Unknown with a balanced runtime profile, unknown context posture, and the clearest fit around coding / long-context research.
Benchmark blend
Dev workflow signal
Unknown
Budget tier
Solar Mini currently reads as a budget text-first option with unknown context and a balanced runtime profile.
Decision Strip
Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.
General reasoning and benchmark headroom.
LimitedTTFT 1.36s
CompetitiveHow much prompt and task state can stay in view.
Limited$0.15 output / 1M
EfficientEditorial Profile
Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.
The Solar Mini AI model by Unknown.
Unknown text-first profile
Coding / Long-context research with unknown context and balanced runtime.
Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.
Latency and throughput look responsive enough for interactive loops.
Budget-friendly input pricing is a strength, but raw capability may vary by workload.
Latency is balanced rather than ultra-fast, which is fine for most workflows but not the snappiest tier.
Current metadata points to a text-first profile rather than a broad multimodal one.
Focused chat, retrieval-augmented flows, and narrower production tasks.
Benchmarks
Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.
Broad reasoning, knowledge depth, and flagship benchmark posture.
Extra benchmark cuts are not available for this category yet.
Formal reasoning, structured problem solving, and competition-style math.
Extra benchmark cuts are not available for this category yet.
Long-horizon execution quality and interactive benchmark evidence.
Extra benchmark cuts are not available for this category yet.
Specs & Pricing
Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.
This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.
Metadata
Verification details remain available, but the page no longer forces them ahead of the editorial read.