GPT-4o mini vs Ling 3.0 Flash Fin
Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 3.7. Ling 3.0 Flash Fin is 2.9x cheaper per token.
OpenAI · InclusionAI · Updated for 2026
Which is better?
Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 3.7, ranking #39 overall.
On price, Ling 3.0 Flash Fin is roughly 2.9x 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 GPT-4o mini
- you want predictable pricing at $0.15/M input and $0.60/M output
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
- cost matters — it's about 2.9x 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
9 reported for GPT-4o mini · 6 for Ling 3.0 Flash Fin
GPT-4o mini 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, GPT-4o mini ($0.15/1M tokens) is 2.5x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, GPT-4o mini ($0.60/1M tokens) is 3.3x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, GPT-4o mini is more expensive than Ling 3.0 Flash Fin.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Ling 3.0 Flash Fin accepts 262,144 input tokens compared to GPT-4o mini's 128,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while GPT-4o mini is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4o mini supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o mini
Ling 3.0 Flash Fin
Release Timeline
When each model was launched
GPT-4o mini was released on 2024-07-18, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 26 months newer than GPT-4o mini.
Jul 18, 2024
2.1 years ago
Sep 3, 2026
5 days ago
2.1yr newerKnowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Ling 3.0 Flash Fin's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.
Oct 2023
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Provider Availability
GPT-4o mini is available from Azure. Ling 3.0 Flash Fin is available from DeepInfra.
GPT-4o mini
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o mini and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o mini vs Ling 3.0 Flash Fin.