Qwen3 235B-A22B Instruct 2507 vs gpt-6-luna-pro: API price and specs
gpt-6-luna-pro is 30% cheaper than Qwen3 235B-A22B Instruct 2507 on input price.
Qwen3 235B-A22B Instruct 2507 is 60% cheaper than gpt-6-luna-pro on output price.
Qwen3 235B-A22B Instruct 2507 is 9% cheaper than gpt-6-luna-pro on a 1M-in / 200k-out workload.
gpt-6-luna-pro has a 300.5% larger context than Qwen3 235B-A22B Instruct 2507.
| Field | Qwen3 235B-A22B Instruct 2507 | gpt-6-luna-pro |
|---|---|---|
| Lowest input, per 1M | $0.071 +42% | $0.05 |
| Median input, per 1M | $0.20 +100% | $0.10 |
| Lowest output, per 1M | $0.10 | $0.25 +150% |
| Median output, per 1M | $0.80 +60% | $0.50 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.091 | $0.10 +9.9% |
| Context | 262K +75% | 1.1M |
| Max output | 262K | 128K +51.2% |
| Providers | 19 | 3 +84.2% |
| Regions | EU, GLOBAL, US | — |
| Accepts | image, text | file, image, pdf, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | requesty | openrouter |
Your own workload: how many tokens the model gets (input) and gives back (output) - for example, in a month. The "Cost" row of the table above is recalculated for these numbers, for each model.
Computed from current offers each time the page opens; the best value of a row is bold, the percent is how far behind the best.
Providers selling both
Frequently asked questions
Which is cheaper, Qwen3 235B-A22B Instruct 2507 or gpt-6-luna-pro?
gpt-6-luna-pro is 30% cheaper than Qwen3 235B-A22B Instruct 2507 on input price. Qwen3 235B-A22B Instruct 2507 is 60% cheaper than gpt-6-luna-pro on output price. Qwen3 235B-A22B Instruct 2507 is 9% cheaper than gpt-6-luna-pro on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3 235B-A22B Instruct 2507 or gpt-6-luna-pro?
Qwen3 235B-A22B Instruct 2507: 262K tokens; gpt-6-luna-pro: 1.1M tokens.
Where can I use both Qwen3 235B-A22B Instruct 2507 and gpt-6-luna-pro?
kilo, meganova, openrouter