o1 vs Ling-2.6-flash: pricing comparison
Ling-2.6-flash is the cheaper option at $0.01/$0.03 per 1M input/output tokens — o1 ($15/$60) costs about 1500x more per input token. Full spec-by-spec breakdown below.
| o1 | Ling-2.6-flash | |
|---|---|---|
| Input /1M tokens | $15 | $0.01 |
| Output /1M tokens | $60 | $0.03 |
| Cache read /1M | $7.50 | $0.00 |
| Context window | 200K | 262K |
| Provider | OpenAI | Inclusionai |
| Vision input | Yes | No |
| Released | Dec 2024 | Apr 2026 |
Real workload costs: o1 vs Ling-2.6-flash
Cost per single request at common token profiles — the cheapest model for each workload is highlighted.
| Workload | Tokens (in / out) | o1 | Ling-2.6-flash |
|---|---|---|---|
| Chatbot message | 500 / 300 | $0.03 | <$0.0001 |
| RAG query with context | 4,000 / 500 | $0.09 | <$0.0001 |
| Document summarization | 20,000 / 1,000 | $0.36 | $0.0002 |
| Agent coding session | 100,000 / 5,000 | $1.80 | $0.0011 |
Frequently asked questions
Which is cheaper: o1 vs Ling-2.6-flash?
Ling-2.6-flash is the cheapest on input tokens at $0.01 per 1M, and Ling-2.6-flash is cheapest on output at $0.03 per 1M. o1 costs about 1500x more per input token than Ling-2.6-flash.
How much does o1 cost per 1M tokens?
o1 costs $15 per 1M input tokens and $60 per 1M output tokens on the OpenAI API, with a 200K-token context window.
How much does Ling-2.6-flash cost per 1M tokens?
Ling-2.6-flash costs $0.01 per 1M input tokens and $0.03 per 1M output tokens on the Inclusionai API, with a 262K-token context window.
What does a typical request cost on o1 vs Ling-2.6-flash?
For a typical request with 2,000 input and 500 output tokens: o1 costs $0.06, Ling-2.6-flash costs <$0.0001. At 1,000 requests/day for a month that is $1,800 for o1 vs $1.05 for Ling-2.6-flash.
Estimate your own workload with the per-model calculators (o1, Ling-2.6-flash), browse all current prices on the live model pricing dashboard, or run these models head-to-head on a real prompt (free account required). Prices may differ from provider list prices for batch or tiered usage.
Pricing data via the OpenRouter models API.