The AI arena is free today

Open Superagent

DeepSeek-V4-Flash-0423 vs Gemini 3.8 Flash Cyber

Gemini 3.8 Flash Cyber leads the LLM Stats Score 39.5 to 36.1.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 39.5 to 36.1, ranking #59 overall.

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

Choose DeepSeek-V4-Flash-0423

  • you need open weights you can self-host or fine-tune

Choose Gemini 3.8 Flash Cyber

  • overall performance matters — it scores 39.5 and ranks #59 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

At a glance

The differences that matter most.

DeepSeek-V4-Flash-0423
DeepSeek
Gemini 3.8 Flash Cyber
Google
Core performance indexes
LLM Stats Score
36.1
#84
39.5
#59
Coding
26.8
#66
32.2
#42
Agents
15.8
#85
29.3
#39
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.09 / M
— / M
Output price
$0.18 / M
— / M
Context window
1,048,576
—

Individual benchmarks

19 reported for DeepSeek-V4-Flash-0423 · 4 for Gemini 3.8 Flash Cyber

No common benchmarks found

DeepSeek-V4-Flash-0423 and Gemini 3.8 Flash Cyberdon'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 DeepSeek-V4-Flash-0423 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-0423 specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek-V4-Flash-0423
Input1,048,576 tokens
Output1,048,576 tokens
Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Flash-0423 is licensed under MIT, while Gemini 3.8 Flash Cyber uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4-Flash-0423

MIT

Open weights

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0423 was released on 2026-04-23, while Gemini 3.8 Flash Cyber was released on 2026-09-02.

Gemini 3.8 Flash Cyber is 4 months newer than DeepSeek-V4-Flash-0423.

DeepSeek-V4-Flash-0423

Apr 23, 2026

5 months ago

Gemini 3.8 Flash Cyber

Sep 2, 2026

2 weeks ago

4mo 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 DeepSeek-V4-Flash-0423 and Gemini 3.8 Flash Cyber side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0423
✓ Preferred
Gemini 3.8 Flash Cyber
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0423 vs Gemini 3.8 Flash Cyber.

Which is better, DeepSeek-V4-Flash-0423 or Gemini 3.8 Flash Cyber?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 39.5 to 36.1. DeepSeek-V4-Flash-0423 is made by DeepSeek and Gemini 3.8 Flash Cyber is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4-Flash-0423 compare to Gemini 3.8 Flash Cyber in benchmarks?

DeepSeek-V4-Flash-0423 scores CodeForces: 93.9%, HMMT Feb 26: 91.9%, LiveCodeBench: 88.4%, GPQA: 87.4%, MMLU-Pro: 86.4%. 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%.

What are the context window sizes for DeepSeek-V4-Flash-0423 and Gemini 3.8 Flash Cyber?

DeepSeek-V4-Flash-0423 supports 1.0M tokens and Gemini 3.8 Flash Cyber supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Flash-0423 and Gemini 3.8 Flash Cyber?

Key differences include LLM Stats Score (36.1 vs 39.5), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0423 and Gemini 3.8 Flash Cyber?

DeepSeek-V4-Flash-0423 is developed by DeepSeek and Gemini 3.8 Flash Cyber is developed by Google.

Related comparisons