GPT-4o vs Ling 3.1 Flash
Ling 3.1 Flash leads the LLM Stats Score 51.0 to 11.5.
OpenAI · InclusionAI · Updated for 2026
Which is better?
Ling 3.1 Flash leads the overall LLM Stats Score 51.0 to 11.5, ranking #15 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4o
- you want predictable pricing at $2.50/M input and $10.00/M output
Choose Ling 3.1 Flash
- overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Individual benchmarks
8 reported for GPT-4o · 11 for Ling 3.1 Flash
GPT-4o and Ling 3.1 Flashdon'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
Context Window
Maximum input and output token capacity
Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (4,096 tokens).
Input capabilities
Documented input modalities across available providers
GPT-4o supports multimodal inputs, whereas Ling 3.1 Flash does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
Ling 3.1 Flash
Release Timeline
When each model was launched
GPT-4o was released on 2024-05-13, while Ling 3.1 Flash was released on 2026-09-30.
Ling 3.1 Flash is 29 months newer than GPT-4o.
May 13, 2024
2.4 years ago
Sep 30, 2026
1 weeks ago
2.4yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o and Ling 3.1 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Ling 3.1 Flash.