Llama 3.3 70B Instruct 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 — Llama 3.3 70B Instruct ($0.10/$0.32) costs about 10.0x more per input token. Full spec-by-spec breakdown below.
| Llama 3.3 70B Instruct | Ling-2.6-flash | |
|---|---|---|
| Input /1M tokens | $0.10 | $0.01 |
| Output /1M tokens | $0.32 | $0.03 |
| Cache read /1M | — | $0.00 |
| Context window | 131K | 262K |
| Provider | Meta | Inclusionai |
| Vision input | No | No |
| Released | Dec 2024 | Apr 2026 |
Real workload costs: Llama 3.3 70B Instruct 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) | Llama 3.3 70B Instruct | Ling-2.6-flash |
|---|---|---|---|
| Chatbot message | 500 / 300 | $0.0001 | <$0.0001 |
| RAG query with context | 4,000 / 500 | $0.0006 | <$0.0001 |
| Document summarization | 20,000 / 1,000 | $0.0023 | $0.0002 |
| Agent coding session | 100,000 / 5,000 | $0.01 | $0.0011 |
Frequently asked questions
Which is cheaper: Llama 3.3 70B Instruct 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. Llama 3.3 70B Instruct costs about 10.0x more per input token than Ling-2.6-flash.
How much does Llama 3.3 70B Instruct cost per 1M tokens?
Llama 3.3 70B Instruct costs $0.10 per 1M input tokens and $0.32 per 1M output tokens on the Meta API, with a 131K-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 Llama 3.3 70B Instruct vs Ling-2.6-flash?
For a typical request with 2,000 input and 500 output tokens: Llama 3.3 70B Instruct costs $0.0004, Ling-2.6-flash costs <$0.0001. At 1,000 requests/day for a month that is $10.80 for Llama 3.3 70B Instruct vs $1.05 for Ling-2.6-flash.
Estimate your own workload with the per-model calculators (Llama 3.3 70B Instruct, 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.