AI Rate CardQwen3 VL 235B A22B Instruct vs Claude Sonnet 4.6: API price and specs
Claude Sonnet 4.6 is 25% cheaper than Qwen3 VL 235B A22B Instruct on input price.
Claude Sonnet 4.6 is 15% cheaper than Qwen3 VL 235B A22B Instruct on output price.
Claude Sonnet 4.6 is 20% cheaper than Qwen3 VL 235B A22B Instruct on a 1M-in / 200k-out workload.
Claude Sonnet 4.6 has a 281.5% larger context than Qwen3 VL 235B A22B Instruct.
| Field | Qwen3 VL 235B A22B Instruct | Claude Sonnet 4.6 |
|---|---|---|
| Lowest input, per 1M | $0.20 +33.3% | $0.15 |
| Median input, per 1M | $0.23 | $3.00 +1200% |
| Lowest output, per 1M | $0.88 +17.3% | $0.75 |
| Median output, per 1M | $1.55 | $15.00 +867.7% |
| Lowest unit price | — | $0.001 / request |
| Cost of 1M in + 200k out | $0.38 +25.3% | $0.30 |
| Context | 262K +73.8% | 1M |
| Max output | 262K | 128K +51.1% |
| Providers | 13 +63.9% | 36 |
| Regions | EU, US | APAC, AU, EU, GLOBAL, JP, US |
| Accepts | image, image/bmp, image/gif, image/heic, image/jpeg, image/png, image/tiff, image/webp, text, video | application/pdf, file, image, image/gif, image/jpeg, image/png, image/webp, pdf, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | deepinfra | daoxe |
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
aihubmix, amazon-bedrock, cometapi, cortecs, deepinfra, edenai, fastrouter, helicone, kilo, openrouter, orcarouter, trustedrouter
Frequently asked questions
Which is cheaper, Qwen3 VL 235B A22B Instruct or Claude Sonnet 4.6?
Claude Sonnet 4.6 is 25% cheaper than Qwen3 VL 235B A22B Instruct on input price. Claude Sonnet 4.6 is 15% cheaper than Qwen3 VL 235B A22B Instruct on output price. Claude Sonnet 4.6 is 20% cheaper than Qwen3 VL 235B A22B Instruct on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3 VL 235B A22B Instruct or Claude Sonnet 4.6?
Qwen3 VL 235B A22B Instruct: 262K tokens; Claude Sonnet 4.6: 1M tokens.
Where can I use both Qwen3 VL 235B A22B Instruct and Claude Sonnet 4.6?
aihubmix, amazon-bedrock, cometapi, cortecs, deepinfra, edenai, fastrouter, helicone, kilo, openrouter, orcarouter, trustedrouter