Gemini 3.1 Pro vs Ling 3.0 Flash Fin
Gemini 3.1 Pro and Ling 3.0 Flash Fin are closely matched at 43.4 and 43.3 on the LLM Stats Score. Ling 3.0 Flash Fin is 50.0x cheaper per token.
Google · InclusionAI · Updated for 2026
Which is better?
Gemini 3.1 Pro and Ling 3.0 Flash Fin are closely matched on the overall LLM Stats Score at 43.4 and 43.3.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Ling 3.0 Flash Fin is roughly 50.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.1 Pro also accepts a larger context window (1,000,000 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 Gemini 3.1 Pro
- you process long inputs — it offers a 1,000,000 token context window
Choose Ling 3.0 Flash Fin
- your work emphasizes agents — it leads those capability indexes
- cost matters — it's about 50.0x 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
20 reported for Gemini 3.1 Pro · 6 for Ling 3.0 Flash Fin
Gemini 3.1 Pro outperforms in 1 benchmarks (APEX-Agents), while Ling 3.0 Flash Fin is better at 1 benchmark (Finance Agent v2).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Pro ($2.00/1M tokens) is 33.3x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, Gemini 3.1 Pro ($12.00/1M tokens) is 66.7x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, Gemini 3.1 Pro 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
Gemini 3.1 Pro accepts 1,000,000 input tokens compared to Ling 3.0 Flash Fin's 262,144 tokens. Gemini 3.1 Pro can generate longer responses up to 1,000,000 tokens, while Ling 3.0 Flash Fin is limited to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3.1 Pro supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.
Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.1 Pro
Ling 3.0 Flash Fin
Release Timeline
When each model was launched
Gemini 3.1 Pro was released on 2026-02-19, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 7 months newer than Gemini 3.1 Pro.
Feb 19, 2026
6 months ago
Sep 3, 2026
5 days ago
6mo newerKnowledge Cutoff
When training data ends
Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Ling 3.0 Flash Fin's cutoff date is not specified.
We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.
Jan 2025
—
Provider Availability
Gemini 3.1 Pro is available from DeepInfra, Google. Ling 3.0 Flash Fin is available from DeepInfra.
Gemini 3.1 Pro
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.1 Pro and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.1 Pro vs Ling 3.0 Flash Fin.