Gemini 1.5 Flash 8B vs Ling 3.0 Flash Fin
Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to -0.7. Ling 3.0 Flash Fin is 1.4x cheaper per token.
Google · InclusionAI · Updated for 2026
Which is better?
Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to -0.7, ranking #39 overall.
On price, Ling 3.0 Flash Fin is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Flash 8B also accepts a larger context window (1,048,576 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 Gemini 1.5 Flash 8B
- you process long inputs — it offers a 1,048,576 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 1.4x cheaper per token
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Individual benchmarks
13 reported for Gemini 1.5 Flash 8B · 6 for Ling 3.0 Flash Fin
Gemini 1.5 Flash 8B 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, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 1.2x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 1.7x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, Gemini 1.5 Flash 8B is more expensive than Ling 3.0 Flash Fin.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ling 3.0 Flash Fin has 116.0B more parameters than Gemini 1.5 Flash 8B, making it 1450.0% larger.
Context Window
Maximum input and output token capacity
Gemini 1.5 Flash 8B accepts 1,048,576 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 Gemini 1.5 Flash 8B is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 1.5 Flash 8B supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.
Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Flash 8B
Ling 3.0 Flash Fin
Release Timeline
When each model was launched
Gemini 1.5 Flash 8B was released on 2024-03-15, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 30 months newer than Gemini 1.5 Flash 8B.
Mar 15, 2024
2.5 years ago
Sep 3, 2026
5 days ago
2.5yr newerKnowledge Cutoff
When training data ends
Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Ling 3.0 Flash Fin's cutoff date is not specified.
We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.
Oct 2024
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Provider Availability
Gemini 1.5 Flash 8B is available from Google. Ling 3.0 Flash Fin is available from DeepInfra.
Gemini 1.5 Flash 8B
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Flash 8B and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Flash 8B vs Ling 3.0 Flash Fin.