The AI arena is free today

Open Superagent

Gemini 3.8 Flash Cyber vs Ling 3.0 Flash Fin

Gemini 3.8 Flash Cyber and Ling 3.0 Flash Fin are closely matched at 42.3 and 43.3 on the LLM Stats Score.

Google · InclusionAI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber and Ling 3.0 Flash Fin are closely matched on the overall LLM Stats Score at 42.3 and 43.3.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3.8 Flash Cyber

  • you are already invested in the Google ecosystem

Choose Ling 3.0 Flash Fin

  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
42.3
#46
43.3
#39
Agents
31.5
#28
29.5
#35
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.06 / M
Output price
— / M
$0.18 / M
Context window
—
262,144

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 6 for Ling 3.0 Flash Fin

No common benchmarks found

Gemini 3.8 Flash Cyber 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

Context Window

Maximum input and output token capacity

Only Ling 3.0 Flash Fin specifies input context (262,144 tokens). Only Ling 3.0 Flash Fin specifies output context (262,144 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Tue Sep 08 2026 • llm-stats.com

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 0 month newer than Gemini 3.8 Flash Cyber.

Gemini 3.8 Flash Cyber

Sep 2, 2026

6 days ago

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

1d newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash Cyber and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs Ling 3.0 Flash Fin.

Which is better, Gemini 3.8 Flash Cyber or Ling 3.0 Flash Fin?

Gemini 3.8 Flash Cyber and Ling 3.0 Flash Fin are closely matched on the LLM Stats Score at 42.3 and 43.3. Gemini 3.8 Flash Cyber is made by Google and Ling 3.0 Flash Fin is made by InclusionAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.8 Flash Cyber compare to Ling 3.0 Flash Fin in benchmarks?

Gemini 3.8 Flash Cyber scores Gray Swan IPI Benchmark: 94.0%, CyberGym: 86.2%, Google Real-world Vulnerability Discovery: 71.0%, CWE-Bench: 47.2%. Ling 3.0 Flash Fin scores SpreadSheetBench-v1: 86.5%, Finance Agent v1.1: 69.2%, Finance Agent v2: 59.8%, Tau3 Banking: 41.0%, APEX-Agents: 29.2%.

What are the context window sizes for Gemini 3.8 Flash Cyber and Ling 3.0 Flash Fin?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and Ling 3.0 Flash Fin supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.8 Flash Cyber and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (42.3 vs 43.3), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and Ling 3.0 Flash Fin?

Gemini 3.8 Flash Cyber is developed by Google and Ling 3.0 Flash Fin is developed by InclusionAI.

Related comparisons