MiMo-V2.6-Flash vs Qwen3-Coder
Comparing MiMo-V2.6-Flash and Qwen3-Coder across benchmarks, pricing, and capabilities.
Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
MiMo-V2.6-Flash and Qwen3-Coder trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
MiMo-V2.6-Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiMo-V2.6-Flash
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Qwen3-Coder
- you want predictable pricing at $0.18/M input and $0.18/M output
At a glance
The differences that matter most.
Individual benchmarks
16 reported for MiMo-V2.6-Flash · 0 for Qwen3-Coder
MiMo-V2.6-Flash and Qwen3-Coderdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2.6-Flash ($0.14/1M tokens) is 1.3x cheaper than Qwen3-Coder ($0.18/1M tokens).
For output processing, MiMo-V2.6-Flash ($0.28/1M tokens) is 1.6x more expensive than Qwen3-Coder ($0.18/1M tokens).
In conclusion, Qwen3-Coder is more expensive than MiMo-V2.6-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3-Coder has 171.0B more parameters than MiMo-V2.6-Flash, making it 55.3% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.6-Flash accepts 1,048,576 input tokens compared to Qwen3-Coder's 256,000 tokens. Only Qwen3-Coder specifies output context (256,000 tokens).
Input capabilities
Documented input modalities across available providers
MiMo-V2.6-Flash supports multimodal inputs, whereas Qwen3-Coder does not.
MiMo-V2.6-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2.6-Flash
Qwen3-Coder
License
Usage and distribution terms
MiMo-V2.6-Flash is licensed under MIT, while Qwen3-Coder uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
MiMo-V2.6-Flash was released on 2026-09-22, while Qwen3-Coder was released on 2025-01-01.
MiMo-V2.6-Flash is 21 months newer than Qwen3-Coder.
Sep 22, 2026
-1 days ago
1.7yr newerJan 1, 2025
1.7 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiMo-V2.6-Flash is available from Xiaomi. Qwen3-Coder is available from DeepInfra, Fireworks.
MiMo-V2.6-Flash
Qwen3-Coder
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.6-Flash and Qwen3-Coder side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Flash vs Qwen3-Coder.