Kimi K3 vs MiMo-V2.6-Flash
Kimi K3 leads the LLM Stats Score 52.7 to 45.6. MiMo-V2.6-Flash is 32.6x cheaper per token.
Moonshot AI · Xiaomi · Updated for 2026
Which is better?
Kimi K3 leads the overall LLM Stats Score 52.7 to 45.6, ranking #8 overall.
In the 3 individual benchmarks reported for both models, Kimi K3 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2.6-Flash is roughly 32.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Kimi K3
- overall performance matters — it scores 52.7 and ranks #8 on LLM Stats
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
Choose MiMo-V2.6-Flash
- cost matters — it's about 32.6x cheaper per token
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
31 reported for Kimi K3 · 16 for MiMo-V2.6-Flash
Kimi K3 outperforms in 3 benchmarks (DeepSWE 1.1, Program Bench, Terminal-Bench 2.1), while MiMo-V2.6-Flash is better at 0 benchmarks.
Kimi K3 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, Kimi K3 ($2.85/1M tokens) is 20.4x more expensive than MiMo-V2.6-Flash ($0.14/1M tokens).
For output processing, Kimi K3 ($14.25/1M tokens) is 50.9x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).
In conclusion, Kimi K3 is more expensive than MiMo-V2.6-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 2491.0B more parameters than MiMo-V2.6-Flash, making it 806.1% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Only Kimi K3 specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Both Kimi K3 and MiMo-V2.6-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K3
MiMo-V2.6-Flash
License
Usage and distribution terms
Kimi K3 is licensed under Kimi K3 License, while MiMo-V2.6-Flash uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Kimi K3 License
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Kimi K3 was released on 2026-07-16, while MiMo-V2.6-Flash was released on 2026-09-22.
MiMo-V2.6-Flash is 2 months newer than Kimi K3.
Jul 16, 2026
2 months ago
Sep 22, 2026
0 days ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K3 is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. MiMo-V2.6-Flash is available from Xiaomi.
Kimi K3
MiMo-V2.6-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K3 and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K3 vs MiMo-V2.6-Flash.