Side-by-side comparison
Qwen3.6 Max Preview vs Jamba Large 1.7
Qwen
Qwen3.6 Max Preview
🔧 Tools
{} JSON
Input / 1M
$1.0400
Output / 1M
$6.2400
| Qwen3.6 Max Preview | Jamba Large 1.7 | |
|---|---|---|
| Provider | Qwen | AI21 |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 256,000 |
| 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 → | 1.0400 | 2.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 6.2400 | 8.0000 |
Frequently asked questions
Which is cheaper, Qwen3.6 Max Preview or Jamba Large 1.7?
Qwen3.6 Max Preview is cheaper than Jamba Large 1.7 on a 50/50 input/output blend by about $1.36 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, Qwen3.6 Max Preview or Jamba Large 1.7?
Qwen3.6 Max Preview has the larger context window at 262k tokens versus 256k tokens for Jamba Large 1.7. That means Qwen3.6 Max Preview can ingest about 1.0x as much text per request.
What is the difference between Qwen3.6 Max Preview and Jamba Large 1.7?
Qwen3.6 Max Preview comes from Qwen; Jamba Large 1.7 comes from AI21. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.