Kimi K2.7 Code vs Ling 3.0 Flash Fin
Kimi K2.7 Code and Ling 3.0 Flash Fin are closely matched at 39.4 and 43.0 on the LLM Stats Score. Ling 3.0 Flash Fin is 15.1x cheaper per token.
Moonshot AI · InclusionAI · Updated for 2026
Which is better?
Kimi K2.7 Code and Ling 3.0 Flash Fin are closely matched on the overall LLM Stats Score at 39.4 and 43.0.
On price, Ling 3.0 Flash Fin is roughly 15.1x 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 K2.7 Code
- you need open weights you can self-host or fine-tune
Choose Ling 3.0 Flash Fin
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 15.1x 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
9 reported for Kimi K2.7 Code · 6 for Ling 3.0 Flash Fin
Kimi K2.7 Code 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
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2.7 Code ($0.68/1M tokens) is 11.3x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, Kimi K2.7 Code ($3.40/1M tokens) is 18.9x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, Kimi K2.7 Code 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 K2.7 Code 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. Both models can generate responses up to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Kimi K2.7 Code supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.
Kimi K2.7 Code can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K2.7 Code
Ling 3.0 Flash Fin
Release Timeline
When each model was launched
Kimi K2.7 Code was released on 2026-06-12, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 3 months newer than Kimi K2.7 Code.
Jun 12, 2026
3 months ago
Sep 3, 2026
2 weeks 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 K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. Ling 3.0 Flash Fin is available from DeepInfra.
Kimi K2.7 Code
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K2.7 Code and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2.7 Code vs Ling 3.0 Flash Fin.