Ling 3.0 Flash vs MiMo-V2.6-Pro
MiMo-V2.6-Pro leads the LLM Stats Score 49.9 to 36.2. Ling 3.0 Flash is 6.0x cheaper per token.
InclusionAI · Xiaomi · Updated for 2026
Which is better?
MiMo-V2.6-Pro leads the overall LLM Stats Score 49.9 to 36.2, ranking #20 overall.
In the 1 individual benchmarks reported for both models, MiMo-V2.6-Pro wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Ling 3.0 Flash is roughly 6.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.6-Pro 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 Ling 3.0 Flash
- cost matters — it's about 6.0x cheaper per token
Choose MiMo-V2.6-Pro
- overall performance matters — it scores 49.9 and ranks #20 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for Ling 3.0 Flash · 18 for MiMo-V2.6-Pro
Ling 3.0 Flash outperforms in 0 benchmarks, while MiMo-V2.6-Pro is better at 1 benchmark (Terminal-Bench 2.1).
MiMo-V2.6-Pro significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Ling 3.0 Flash ($0.06/1M tokens) is 7.3x cheaper than MiMo-V2.6-Pro ($0.43/1M tokens).
For output processing, Ling 3.0 Flash ($0.18/1M tokens) is 4.8x cheaper than MiMo-V2.6-Pro ($0.87/1M tokens).
In conclusion, MiMo-V2.6-Pro is more expensive than Ling 3.0 Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.6-Pro has 896.0B more parameters than Ling 3.0 Flash, making it 722.6% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.6-Pro accepts 1,048,576 input tokens compared to Ling 3.0 Flash's 131,072 tokens. Only Ling 3.0 Flash specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
MiMo-V2.6-Pro supports multimodal inputs, whereas Ling 3.0 Flash does not.
MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ling 3.0 Flash
MiMo-V2.6-Pro
Release Timeline
When each model was launched
Ling 3.0 Flash was released on 2026-08-04, while MiMo-V2.6-Pro was released on 2026-09-22.
MiMo-V2.6-Pro is 2 months newer than Ling 3.0 Flash.
Aug 4, 2026
1 months ago
Sep 22, 2026
1 weeks ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Ling 3.0 Flash is available from DeepInfra. MiMo-V2.6-Pro is available from Xiaomi.
Ling 3.0 Flash
MiMo-V2.6-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Ling 3.0 Flash and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ling 3.0 Flash vs MiMo-V2.6-Pro.