SOLAR 0 70B
solar0-70b
Last refreshed 2026-04-15. Next refresh: weekly.
SOLAR 0 70B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Decision context: Coding task fit, 0 tracked provider routes, and research from 2026-01-01.
Use it for
- Teams evaluating general LLM work
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Cheapest output
-
No tracked output price
Provider routes
0
No provider route in seed
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-01-01
Researched 137d ago
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
About
SOLAR-0-70b, developed by Upstage, is an advanced LLM derived from Llama 2, possessing 70 billion parameters and enhanced for processing lengthy sequences over 10,000 tokens using a rope_scaling option. It implements a transformer architecture and is trained on diverse datasets like Orca-style and Alpaca-style, excelling in benchmarks such as ARC-Challenge, HellaSwag, MMLU, and TruthfulQA with high H4 scores. Despite its prowess, it faces limitations, including potential biases and significant computational demands, which may impact accessibility. Various quantized versions, including an 8-bit variant, aim to enhance efficiency, and the model is accessible on platforms like Poe, also offering an API for broader application.
Capabilities
No model capability flags are currently sourced.
