Kimi K2.6 vs Ling 3.0 Flash Fin
Kimi K2.6 and Ling 3.0 Flash Fin are closely matched at 43.8 and 43.3 on the LLM Stats Score. Ling 3.0 Flash Fin is 16.0x cheaper per token.
Moonshot AI · InclusionAI · Updated for 2026
Which is better?
Kimi K2.6 and Ling 3.0 Flash Fin are closely matched on the overall LLM Stats Score at 43.8 and 43.3.
In the 2 individual benchmarks reported for both models, Ling 3.0 Flash Fin wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Ling 3.0 Flash Fin is roughly 16.0x 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 K2.6
- you need open weights you can self-host or fine-tune
Choose Ling 3.0 Flash Fin
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 16.0x 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
28 reported for Kimi K2.6 · 6 for Ling 3.0 Flash Fin
Kimi K2.6 outperforms in 0 benchmarks, while Ling 3.0 Flash Fin is better at 2 benchmarks (APEX-Agents, Finance Agent v2).
Ling 3.0 Flash Fin 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 K2.6 ($0.75/1M tokens) is 12.5x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, Kimi K2.6 ($3.50/1M tokens) is 19.4x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, Kimi K2.6 is more expensive than Ling 3.0 Flash Fin.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2.6 has 876.0B more parameters than Ling 3.0 Flash Fin, making it 706.5% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 262,144 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Kimi K2.6 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Kimi K2.6 supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.
Kimi K2.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K2.6
Ling 3.0 Flash Fin
Release Timeline
When each model was launched
Kimi K2.6 was released on 2026-04-20, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 5 months newer than Kimi K2.6.
Apr 20, 2026
4 months ago
Sep 3, 2026
5 days ago
4mo 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 K2.6 is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. Ling 3.0 Flash Fin is available from DeepInfra.
Kimi K2.6
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K2.6 and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2.6 vs Ling 3.0 Flash Fin.