Qwen3.8 Omni Flash vs Voxtral Small 24B 2507
Price and specs side by side · USD per 1M tokens · verified 2026-10-11
// side by side
| metric | Qwen3.8 Omni Flash | Voxtral Small 24B 2507 |
|---|---|---|
| input / 1M | $0.15 | $0.10 |
| output / 1M | $0.47 | $0.30 |
| blended (3:1) | $0.23 | $0.15 |
| cache read / 1M | $0.016 | — |
| context | 1M | 32.8K |
| max output | 131.1K | 8.2K |
| input types | text · image · audio · video | text · audio |
| reasoning | yes | no |
| tool calling | yes | yes |
| structured output | yes | yes |
| open weights | no | yes |
| released | 2026-09-17 | 2025-07-15 |
| knowledge cutoff | n/a | n/a |
| lab | Alibaba (Qwen) | Mistral |
// monthly cost scenarios
| workload | tokens in / out | Qwen3.8 Omni Flash | Voxtral Small 24B 2507 |
|---|---|---|---|
| Chatbot | 10M / 2M | $2.44 | $1.60 |
| RAG app | 50M / 5M | $9.85 | $6.50 |
| Coding agent | 20M / 10M | $7.70 | $5.00 |
// verdict
- Voxtral Small 24B 2507 is 34.8% cheaper than Qwen3.8 Omni Flash on a blended 3:1 input/output basis.
- Qwen3.8 Omni Flash has the larger context window (1M vs 32.8K tokens).
- Only Qwen3.8 Omni Flash supports built-in reasoning.
- Only Qwen3.8 Omni Flash accepts image input.