Side-by-side comparison
Qwen3 235B A22B Instruct 2507 vs Granite 4.1 8B
Qwen
Qwen3 235B A22B Instruct 2507
🔧 Tools
{} JSON
Input / 1M
$0.0710
Output / 1M
$0.1000
| Qwen3 235B A22B Instruct 2507 | Granite 4.1 8B | |
|---|---|---|
| Provider | Qwen | IBM |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 131,072 |
| 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 → | 0.0710 | 0.0500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.1000 | 0.1000 |
Frequently asked questions
Which is cheaper, Qwen3 235B A22B Instruct 2507 or Granite 4.1 8B?
Granite 4.1 8B is cheaper than Qwen3 235B A22B Instruct 2507 on a 50/50 input/output blend by about $0.0105 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 235B A22B Instruct 2507 or Granite 4.1 8B?
Qwen3 235B A22B Instruct 2507 has the larger context window at 262k tokens versus 131k tokens for Granite 4.1 8B. That means Qwen3 235B A22B Instruct 2507 can ingest about 2.0x as much text per request.
What is the difference between Qwen3 235B A22B Instruct 2507 and Granite 4.1 8B?
Qwen3 235B A22B Instruct 2507 comes from Qwen; Granite 4.1 8B comes from IBM. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.