MiMo-V2-Flash vs Qwen3 VL 8B Instruct
MiMo-V2-Flash significantly outperforms across most benchmarks. MiMo-V2-Flash is 1.2x cheaper per token.
Xiaomi · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
MiMo-V2-Flash outperforms in 3 benchmarks (AIME 2025, LiveCodeBench v6, MMLU-Pro), while Qwen3 VL 8B Instruct is better at 0 benchmarks. MiMo-V2-Flash significantly outperforms across most benchmarks.
On price, MiMo-V2-Flash is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2-Flash also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose MiMo-V2-Flash
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- cost matters — it's about 1.2x cheaper per token
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Dec 2025
Choose Qwen3 VL 8B Instruct
- you want predictable pricing at $0.08/M input and $0.50/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
MiMo-V2-Flash outperforms in 3 benchmarks (AIME 2025, LiveCodeBench v6, MMLU-Pro), while Qwen3 VL 8B Instruct is better at 0 benchmarks.
MiMo-V2-Flash significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2-Flash ($0.10/1M tokens) is 1.3x more expensive than Qwen3 VL 8B Instruct ($0.08/1M tokens).
For output processing, MiMo-V2-Flash ($0.30/1M tokens) is 1.7x cheaper than Qwen3 VL 8B Instruct ($0.50/1M tokens).
In conclusion, Qwen3 VL 8B Instruct is more expensive than MiMo-V2-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2-Flash has 300.0B more parameters than Qwen3 VL 8B Instruct, making it 3333.3% larger.
Context Window
Maximum input and output token capacity
MiMo-V2-Flash accepts 256,000 input tokens compared to Qwen3 VL 8B Instruct's 131,072 tokens. Qwen3 VL 8B Instruct can generate longer responses up to 32,768 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
Qwen3 VL 8B Instruct supports multimodal inputs, whereas MiMo-V2-Flash does not.
Qwen3 VL 8B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2-Flash
Qwen3 VL 8B Instruct
License
Usage and distribution terms
MiMo-V2-Flash is licensed under MIT, while Qwen3 VL 8B Instruct 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-Flash was released on 2025-12-16, while Qwen3 VL 8B Instruct was released on 2025-09-22.
MiMo-V2-Flash is 3 months newer than Qwen3 VL 8B Instruct.
Dec 16, 2025
8 months ago
2mo newerSep 22, 2025
11 months 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-Flash is available from Xiaomi. Qwen3 VL 8B Instruct is available from Novita, DeepInfra.
MiMo-V2-Flash
Qwen3 VL 8B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2-Flash and Qwen3 VL 8B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2-Flash vs Qwen3 VL 8B Instruct.