The AI arena is free today

Open Superagent

DeepSeek-V4-Flash-0731 vs Gemini 3.8 Flash Cyber

DeepSeek-V4-Flash-0731 and Gemini 3.8 Flash Cyber are closely matched at 44.7 and 40.3 on the LLM Stats Score.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4-Flash-0731 and Gemini 3.8 Flash Cyber are closely matched on the overall LLM Stats Score at 44.7 and 40.3.

In the 1 individual benchmarks reported for both models, Gemini 3.8 Flash Cyber wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose DeepSeek-V4-Flash-0731

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

Choose Gemini 3.8 Flash Cyber

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek-V4-Flash-0731
DeepSeek
Gemini 3.8 Flash Cyber
Google
Core performance indexes
LLM Stats Score
44.7
#36
40.3
#55
Coding
33.0
#37
33.1
#36
Agents
31.1
#31
29.8
#35
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
1,048,576
—

Individual benchmarks

9 reported for DeepSeek-V4-Flash-0731 · 4 for Gemini 3.8 Flash Cyber

1 shared

DeepSeek-V4-Flash-0731 outperforms in 0 benchmarks, while Gemini 3.8 Flash Cyber is better at 1 benchmark (CyberGym).

Gemini 3.8 Flash Cyber significantly outperforms across most benchmarks.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Flash-0731 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-0731 specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output1,048,576 tokens
Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 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-0731

MIT

Open weights

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Gemini 3.8 Flash Cyber was released on 2026-09-02.

Gemini 3.8 Flash Cyber is 1 month newer than DeepSeek-V4-Flash-0731.

DeepSeek-V4-Flash-0731

Jul 31, 2026

1 months ago

Gemini 3.8 Flash Cyber

Sep 2, 2026

2 weeks ago

1mo 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-0731 and Gemini 3.8 Flash Cyber side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
Gemini 3.8 Flash Cyber
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs Gemini 3.8 Flash Cyber.

Which is better, DeepSeek-V4-Flash-0731 or Gemini 3.8 Flash Cyber?

DeepSeek-V4-Flash-0731 and Gemini 3.8 Flash Cyber are closely matched on the LLM Stats Score at 44.7 and 40.3. DeepSeek-V4-Flash-0731 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-0731 compare to Gemini 3.8 Flash Cyber in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. 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-0731 and Gemini 3.8 Flash Cyber?

DeepSeek-V4-Flash-0731 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-0731 and Gemini 3.8 Flash Cyber?

Key differences include LLM Stats Score (44.7 vs 40.3), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and Gemini 3.8 Flash Cyber?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and Gemini 3.8 Flash Cyber is developed by Google.

Related comparisons