GPT-4.1 vs Ling 3.0 Flash Fin
Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 18.1. Ling 3.0 Flash Fin is 38.9x 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 18.1, ranking #39 overall.
On price, Ling 3.0 Flash Fin is roughly 38.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 also accepts a larger context window (1,047,576 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-4.1
- you process long inputs — it offers a 1,047,576 token context window
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 38.9x 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
29 reported for GPT-4.1 · 6 for Ling 3.0 Flash Fin
GPT-4.1 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-4.1 ($2.00/1M tokens) is 33.3x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, GPT-4.1 ($8.00/1M tokens) is 44.4x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, GPT-4.1 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
GPT-4.1 accepts 1,047,576 input tokens compared to Ling 3.0 Flash Fin's 262,144 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while GPT-4.1 is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4.1 supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.
GPT-4.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4.1
Ling 3.0 Flash Fin
Release Timeline
When each model was launched
GPT-4.1 was released on 2025-04-14, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 17 months newer than GPT-4.1.
Apr 14, 2025
1.4 years ago
Sep 3, 2026
5 days ago
1.4yr newerKnowledge Cutoff
When training data ends
GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while Ling 3.0 Flash Fin's cutoff date is not specified.
We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.
Jun 2024
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Provider Availability
GPT-4.1 is available from OpenAI. Ling 3.0 Flash Fin is available from DeepInfra.
GPT-4.1
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 vs Ling 3.0 Flash Fin.