DeepSeek VL2 vs Gemini 4 Carbon
Gemini 4 Carbon leads the LLM Stats Score 59.0 to 2.4.
DeepSeek · Google · Updated for 2026
Which is better?
Gemini 4 Carbon leads the overall LLM Stats Score 59.0 to 2.4, ranking #2 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek VL2
- you need open weights you can self-host or fine-tune
Choose Gemini 4 Carbon
- overall performance matters — it scores 59.0 and ranks #2 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
14 reported for DeepSeek VL2 · 16 for Gemini 4 Carbon
DeepSeek VL2 and Gemini 4 Carbondon'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 VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).
Input capabilities
Documented input modalities across available providers
Both DeepSeek VL2 and Gemini 4 Carbon support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek VL2
Gemini 4 Carbon
License
Usage and distribution terms
DeepSeek VL2 is licensed under deepseek, while Gemini 4 Carbon uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek VL2 was released on 2024-12-13, while Gemini 4 Carbon was released on 2026-10-28.
Gemini 4 Carbon is 23 months newer than DeepSeek VL2.
Dec 13, 2024
1.9 years ago
Oct 28, 2026
2 days ago
1.9yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek VL2 and Gemini 4 Carbon side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek VL2 vs Gemini 4 Carbon.