Inkling vs Ling 3.0 Flash Fin
Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 37.5. Ling 3.0 Flash Fin is 19.2x cheaper per token.
Thinking Machines Lab · InclusionAI · Updated for 2026
Which is better?
Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 37.5, ranking #39 overall.
In the 1 individual benchmarks reported for both models, Ling 3.0 Flash Fin wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Ling 3.0 Flash Fin is roughly 19.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Inkling also accepts a larger context window (524,288 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 Inkling
- you process long inputs — it offers a 524,288 token context window
- 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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 19.2x 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
16 reported for Inkling · 6 for Ling 3.0 Flash Fin
Inkling outperforms in 0 benchmarks, while Ling 3.0 Flash Fin is better at 1 benchmark (Tau3 Banking).
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, Inkling ($0.95/1M tokens) is 15.8x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, Inkling ($4.05/1M tokens) is 22.5x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, Inkling is more expensive than Ling 3.0 Flash Fin.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Inkling has 851.0B more parameters than Ling 3.0 Flash Fin, making it 686.3% larger.
Context Window
Maximum input and output token capacity
Inkling accepts 524,288 input tokens compared to Ling 3.0 Flash Fin's 262,144 tokens. Inkling can generate longer responses up to 524,288 tokens, while Ling 3.0 Flash Fin is limited to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Inkling supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.
Inkling can handle both text and other forms of data like images, making it suitable for multimodal applications.
Inkling
Ling 3.0 Flash Fin
Release Timeline
When each model was launched
Inkling was released on 2026-07-21, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 1 month newer than Inkling.
Jul 21, 2026
1 months ago
Sep 3, 2026
6 days ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Inkling is available from DeepInfra. Ling 3.0 Flash Fin is available from DeepInfra.
Inkling
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against Inkling and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about Inkling vs Ling 3.0 Flash Fin.