multimodal model comparison
MiMo-V2.6-Flash vs Qwen3.8-Omni-Flash
MiMo-V2.6-Flash and Qwen3.8-Omni-Flash are both current multimodal models, from Xiaomi MiMo and Alibaba Qwen. MiMo-V2.6-Flash is 7% cheaper per 1M input tokens than Qwen3.8-Omni-Flash, $0.14 vs $0.15. Both accept 1,000,000 tokens of context.
Data verified October 13, 2026 · Dataset 2026-10-13
Side by side
Standard-tier prices in effect today. The better value in each row is highlighted.
| Fact | MiMo-V2.6-Flash | Qwen3.8-Omni-Flash |
|---|---|---|
| Price per 1M input tokens | $0.14 (better) | $0.15 |
| Price per 1M output tokens | $0.28 (better) | $0.47 |
| Cost of 10M input and 2M output tokens | $1.96 (better) | $2.44 |
| Arena Text | 1451 Elo (#35 of 49) | Not measured |
| Provider | Xiaomi MiMo | Alibaba Qwen |
| Release date | September 22, 2026 | September 20, 2026 |
| Access | API and open weights | API only |
| Context window | 1,000,000 tokens | 1,000,000 tokens |
| Max output | 128,000 tokens | 131,072 tokens |
| Input | text, image, audio, video | text, image, audio, video |
| Output | text | text |
Scores:Arena · 2026-10-12
When to choose each
MiMo-V2.6-Flash
Best for
- High-frequency multimodal calls
- Low-cost agent workloads
Watch out for
- Xiaomi's own table puts it well behind the Pro model on exploitation tasks (ExploitBench 25.3 against 47.9)
- The API checkpoint (RL or MOPD weights) is not identified
Qwen3.8-Omni-Flash
Best for
- Long audio and video understanding at low cost
- Agent pipelines that must reason over meetings, calls or recorded media
Watch out for
- Output is text only; for spoken replies Alibaba lists a separate realtime variant
- Alibaba's comparisons with Gemini 3.8 Flash are self-reported and have not been reproduced independently here
- The release date is the Alibaba Cloud announcement date, 2026-09-20
MiMo-V2.6-Flash vs Qwen3.8-Omni-Flash FAQ
Which is cheaper, MiMo-V2.6-Flash or Qwen3.8-Omni-Flash?
MiMo-V2.6-Flash is 7% cheaper per 1M input tokens than Qwen3.8-Omni-Flash, $0.14 vs $0.15. For 10M input and 2M output tokens, MiMo-V2.6-Flash costs $1.96 and Qwen3.8-Omni-Flash $2.44 at standard rates.
Which has the larger context window, MiMo-V2.6-Flash or Qwen3.8-Omni-Flash?
Both accept 1,000,000 tokens of context.
Can I run MiMo-V2.6-Flash or Qwen3.8-Omni-Flash myself?
MiMo-V2.6-Flash is released as open weights you can run yourself; Qwen3.8-Omni-Flash is available through its provider's API only.
Related comparisons
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- GLM-5.3-Flash vs MiMo-V2.6-Flash
- GLM-5.3-Flash vs Qwen3.8-Omni-Flash
- GPT-4.1 nano vs MiMo-V2.6-Flash
- GPT-5.6 Luna vs MiMo-V2.6-Flash
- GPT-5.6 Luna vs Qwen3.8-Omni-Flash
- GPT-6 Luna vs MiMo-V2.6-Flash
- Mercury 2.5 vs MiMo-V2.6-Flash
- MiMo-V2.6-Flash vs MiMo-V2.6-Pro
Production evaluation
Choosing between MiMo-V2.6-Flash and Qwen3.8-Omni-Flash?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty