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Gemini 3.8 Flash Cyber vs Ling 3.0 Flash

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.3 to 36.5.

Google · InclusionAI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.3 to 36.5, ranking #46 overall.

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

Choose Gemini 3.8 Flash Cyber

  • overall performance matters — it scores 42.3 and ranks #46 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Ling 3.0 Flash

  • you want predictable pricing at $0.06/M input and $0.18/M output

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
Ling 3.0 Flash
InclusionAI
Core performance indexes
LLM Stats Score
42.3
#46
36.5
#75
Coding
35.7
#25
25.5
#67
Agents
31.5
#28
19.7
#61
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.06 / M
Output price
— / M
$0.18 / M
Context window
—
131,072

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 19 for Ling 3.0 Flash

No common benchmarks found

Gemini 3.8 Flash Cyber and Ling 3.0 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 Ling 3.0 Flash specifies input context (131,072 tokens). Only Ling 3.0 Flash specifies output context (131,072 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
InclusionAI
Ling 3.0 Flash
Input131,072 tokens
Output131,072 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 was released on 2026-08-04.

Gemini 3.8 Flash Cyber is 1 month newer than Ling 3.0 Flash.

Gemini 3.8 Flash Cyber

Sep 2, 2026

6 days ago

4w newer
Ling 3.0 Flash

Aug 4, 2026

1 months ago

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 side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.3 to 36.5. Gemini 3.8 Flash Cyber is made by Google and Ling 3.0 Flash 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 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 scores AIME 2026: 93.2%, Multi-IF: 87.7%, HMMT Feb 26: 87.0%, IMO-AnswerBench: 83.7%, LiveCodeBench v6: 82.8%.

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

Gemini 3.8 Flash Cyber supports an unknown number of tokens and Ling 3.0 Flash supports 131K 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?

Key differences include LLM Stats Score (42.3 vs 36.5), 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?

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

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