DeepSeek-V4-Flash-Vision-Exp vs MiMo-V2-Pro
DeepSeek-V4-Flash-Vision-Exp leads the LLM Stats Score 47.7 to 35.9. DeepSeek-V4-Flash-Vision-Exp is 4.5x cheaper per token.
DeepSeek · Xiaomi · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp leads the overall LLM Stats Score 47.7 to 35.9, ranking #19 overall.
On price, DeepSeek-V4-Flash-Vision-Exp is roughly 4.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-Vision-Exp 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 DeepSeek-V4-Flash-Vision-Exp
- overall performance matters — it scores 47.7 and ranks #19 on LLM Stats
- your work emphasizes coding and agents — it leads those capability indexes
- cost matters — it's about 4.5x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose MiMo-V2-Pro
- you want predictable pricing at $1.00/M input and $3.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for DeepSeek-V4-Flash-Vision-Exp · 7 for MiMo-V2-Pro
DeepSeek-V4-Flash-Vision-Exp and MiMo-V2-Prodon'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, DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens) is 4.5x cheaper than MiMo-V2-Pro ($1.00/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 4.5x cheaper than MiMo-V2-Pro ($3.00/1M tokens).
In conclusion, MiMo-V2-Pro is more expensive than DeepSeek-V4-Flash-Vision-Exp.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-Vision-Exp accepts 1,048,576 input tokens compared to MiMo-V2-Pro's 1,000,000 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while MiMo-V2-Pro is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas MiMo-V2-Pro does not.
DeepSeek-V4-Flash-Vision-Exp can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-Vision-Exp
MiMo-V2-Pro
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while MiMo-V2-Pro was released on 2026-03-18.
DeepSeek-V4-Flash-Vision-Exp is 5 months newer than MiMo-V2-Pro.
Aug 21, 2026
1 weeks ago
5mo newerMar 18, 2026
5 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
DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek. MiMo-V2-Pro is available from Xiaomi.
DeepSeek-V4-Flash-Vision-Exp
MiMo-V2-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and MiMo-V2-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs MiMo-V2-Pro.