// head_to_head
Switchyard vs GPT-6.1 Sol
Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.
Switchyard and GPT-6.1 Sol are priced within ~10% of each other.
Switchyard does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.
openai
GPT-6.1 Sol
- Blended / 1M
- $4.00
- Context
- 1.1M
- Released
- Sep 29, 2026
- Overall score
- 81.6
Specs and pricing
| Metric | Switchyard | GPT-6.1 Sol |
|---|---|---|
| LiveBench overall Mean of the seven LiveBench category scores, 0–100. Higher is better. | — | 81.6 |
| Cost per point Measured benchmark spend divided by overall score — dollars per point of capability. | — | $0.0755 |
| Blended price / 1M 3:1 input:output mix, the usual shape of production traffic. | — | $4.00 |
| Input price / 1M | — | $2.00 |
| Output price / 1M | — | $10.00 |
| Cached input / 1M Price of an input token served from the prompt cache, where the provider publishes one. | — | $0.100 |
| Context window | 1M | 1.1M |
| Max output tokens | — | 128K |
Benchmarks by category
An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Switchyard on top, GPT-6.1 Sol below, both out of 100.
What each one costs to run
Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.
Run these two through the cost calculatorSwitchyard vs GPT-6.1 Sol FAQ
Which is better, Switchyard or GPT-6.1 Sol?
Switchyard and GPT-6.1 Sol are priced within ~10% of each other. Switchyard does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.
Does Switchyard or GPT-6.1 Sol have a bigger context window?
They are effectively the same — 1M for Switchyard and 1.1M for GPT-6.1 Sol.
Do Switchyard and GPT-6.1 Sol support prompt caching?
GPT-6.1 Sol publishes a cached-input rate of $0.100 per million tokens against a full input rate of $2.00. The catalogue lists no separate cached rate for Switchyard, which means the provider does not price it separately here — not that caching is unavailable.
Related comparisons
How these numbers are produced
- Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores — LiveBench release 2026-06-25, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
- “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.