Side-by-side comparison
Qwen3 Coder 30B A3B Instruct vs Ling-2.6-flash
Qwen
Qwen3 Coder 30B A3B Instruct
🔧 Tools
{} JSON
Input / 1M
$0.0700
Output / 1M
$0.2700
inclusionAI
Ling-2.6-flash
🔧 Tools
{} JSON
Input / 1M
$0.0800
Output / 1M
$0.2400
| Qwen3 Coder 30B A3B Instruct | Ling-2.6-flash | |
|---|---|---|
| Provider | Qwen | inclusionAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 160,000 | 262,144 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.0700 | 0.0800 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.2700 | 0.2400 |
Frequently asked questions
Which is cheaper, Qwen3 Coder 30B A3B Instruct or Ling-2.6-flash?
Ling-2.6-flash is cheaper than Qwen3 Coder 30B A3B Instruct on a 50/50 input/output blend by about $0.01 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Qwen3 Coder 30B A3B Instruct or Ling-2.6-flash?
Ling-2.6-flash has the larger context window at 262k tokens versus 160k tokens for Qwen3 Coder 30B A3B Instruct. That means Ling-2.6-flash can ingest about 1.6x as much text per request.
What is the difference between Qwen3 Coder 30B A3B Instruct and Ling-2.6-flash?
Qwen3 Coder 30B A3B Instruct comes from Qwen; Ling-2.6-flash comes from inclusionAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.