Kimi K2 Base vs Ling 3.0 Flash Fin
Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 13.6.
Moonshot AI · InclusionAI · Updated for 2026
Which is better?
Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 13.6, ranking #39 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Kimi K2 Base
- you need open weights you can self-host or fine-tune
Choose Ling 3.0 Flash Fin
- overall performance matters — it scores 43.3 and ranks #39 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- 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
13 reported for Kimi K2 Base · 6 for Ling 3.0 Flash Fin
Kimi K2 Base and Ling 3.0 Flash Findon'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
Model Size
Parameter count comparison
Kimi K2 Base has 876.0B more parameters than Ling 3.0 Flash Fin, making it 706.5% larger.
Context Window
Maximum input and output token capacity
Only Ling 3.0 Flash Fin specifies input context (262,144 tokens). Only Ling 3.0 Flash Fin specifies output context (262,144 tokens).
Release Timeline
When each model was launched
Kimi K2 Base was released on 2025-07-11, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 14 months newer than Kimi K2 Base.
Jul 11, 2025
1.2 years ago
Sep 3, 2026
6 days ago
1.1yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K2 Base and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2 Base vs Ling 3.0 Flash Fin.