Kimi K2.5 vs Ling 3.0 Flash Fin
Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 38.9. Ling 3.0 Flash Fin is 13.3x cheaper per token.
Moonshot AI · InclusionAI · Updated for 2026
Which is better?
Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 38.9, ranking #39 overall.
On price, Ling 3.0 Flash Fin is roughly 13.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Ling 3.0 Flash Fin also accepts a larger context window (262,144 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 Kimi K2.5
- 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 and agents — it leads those capability indexes
- cost matters — it's about 13.3x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Individual benchmarks
40 reported for Kimi K2.5 · 6 for Ling 3.0 Flash Fin
Kimi K2.5 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 K2.5 ($0.60/1M tokens) is 10.0x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, Kimi K2.5 ($3.00/1M tokens) is 16.7x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, Kimi K2.5 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 K2.5 has 876.0B more parameters than Ling 3.0 Flash Fin, making it 706.5% larger.
Context Window
Maximum input and output token capacity
Ling 3.0 Flash Fin accepts 262,144 input tokens compared to Kimi K2.5's 262,100 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Kimi K2.5 is limited to 262,100 tokens.
Input capabilities
Documented input modalities across available providers
Kimi K2.5 supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.
Kimi K2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K2.5
Ling 3.0 Flash Fin
Release Timeline
When each model was launched
Kimi K2.5 was released on 2026-01-27, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 7 months newer than Kimi K2.5.
Jan 27, 2026
7 months ago
Sep 3, 2026
6 days ago
7mo 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 K2.5 is available from Fireworks, Moonshot AI. Ling 3.0 Flash Fin is available from DeepInfra.
Kimi K2.5
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K2.5 and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2.5 vs Ling 3.0 Flash Fin.