GPT-4o vs Ling 3.0 Flash Fin
Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 14.2. Ling 3.0 Flash Fin is 48.6x 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 14.2, ranking #39 overall.
On price, Ling 3.0 Flash Fin is roughly 48.6x 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
- you want predictable pricing at $2.50/M input and $10.00/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 48.6x 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
38 reported for GPT-4o · 6 for Ling 3.0 Flash Fin
GPT-4o 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 ($2.50/1M tokens) is 41.7x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 55.6x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, GPT-4o 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's 128,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while GPT-4o is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4o supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
Ling 3.0 Flash Fin
Release Timeline
When each model was launched
GPT-4o was released on 2024-08-06, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 25 months newer than GPT-4o.
Aug 6, 2024
2.1 years ago
Sep 3, 2026
5 days ago
2.1yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-4o is available from Azure, OpenAI. Ling 3.0 Flash Fin is available from DeepInfra.
GPT-4o
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Ling 3.0 Flash Fin.