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DeepSeek-V4-Flash-Vision-Exp vs Gemini 3.8 Flash Cyber

DeepSeek-V4-Flash-Vision-Exp and Gemini 3.8 Flash Cyber are closely matched at 46.0 and 40.3 on the LLM Stats Score.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4-Flash-Vision-Exp and Gemini 3.8 Flash Cyber are closely matched on the overall LLM Stats Score at 46.0 and 40.3.

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

Choose DeepSeek-V4-Flash-Vision-Exp

  • you want predictable pricing at $0.22/M input and $0.66/M output

Choose Gemini 3.8 Flash Cyber

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

At a glance

The differences that matter most.

DeepSeek-V4-Flash-Vision-Exp
DeepSeek
Gemini 3.8 Flash Cyber
Google
Core performance indexes
LLM Stats Score
46.0
#27
40.3
#55
Coding
35.1
#30
33.1
#36
Agents
32.9
#25
29.8
#35
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,048,576
—

Individual benchmarks

7 reported for DeepSeek-V4-Flash-Vision-Exp · 4 for Gemini 3.8 Flash Cyber

No common benchmarks found

DeepSeek-V4-Flash-Vision-Exp 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-Vision-Exp specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-Vision-Exp specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Flash-Vision-Exp
Input1,048,576 tokens
Output393,216 tokens
Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

DeepSeek-V4-Flash-Vision-Exp can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Flash-Vision-Exp

Text
Images
Audio
Video

Gemini 3.8 Flash Cyber

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Gemini 3.8 Flash Cyber was released on 2026-09-02.

Gemini 3.8 Flash Cyber is 0 month newer than DeepSeek-V4-Flash-Vision-Exp.

DeepSeek-V4-Flash-Vision-Exp

Aug 21, 2026

1 months ago

Gemini 3.8 Flash Cyber

Sep 2, 2026

2 weeks ago

1w 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-Vision-Exp and Gemini 3.8 Flash Cyber side-by-side, then vote on the output you prefer.

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

FAQ

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

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

DeepSeek-V4-Flash-Vision-Exp and Gemini 3.8 Flash Cyber are closely matched on the LLM Stats Score at 46.0 and 40.3. DeepSeek-V4-Flash-Vision-Exp 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-Vision-Exp compare to Gemini 3.8 Flash Cyber in benchmarks?

DeepSeek-V4-Flash-Vision-Exp scores Terminal-Bench 2.1: 83.9%, DSBench-Hard: 63.6%, DeepSWE: 59.3%, NL2Repo: 57.7%, ZEROBench: 35.0%. 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-Vision-Exp and Gemini 3.8 Flash Cyber?

DeepSeek-V4-Flash-Vision-Exp 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-Vision-Exp and Gemini 3.8 Flash Cyber?

Key differences include LLM Stats Score (46.0 vs 40.3), multimodal support (yes vs no), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Vision-Exp and Gemini 3.8 Flash Cyber?

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

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