DeepSeek-V4-Flash-Vision-Exp vs Gemma 3 12B
Comparing DeepSeek-V4-Flash-Vision-Exp and Gemma 3 12B across benchmarks, pricing, and capabilities.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp and Gemma 3 12B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Gemma 3 12B is roughly 5.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-Vision-Exp also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-Vision-Exp
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Gemma 3 12B
- cost matters — it's about 5.3x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-Vision-Exp and Gemma 3 12Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens) is 4.4x more expensive than Gemma 3 12B ($0.05/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 6.6x more expensive than Gemma 3 12B ($0.10/1M tokens).
In conclusion, DeepSeek-V4-Flash-Vision-Exp is more expensive than Gemma 3 12B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-Vision-Exp accepts 1,048,576 input tokens compared to Gemma 3 12B's 131,072 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while Gemma 3 12B is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Both DeepSeek-V4-Flash-Vision-Exp and Gemma 3 12B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4-Flash-Vision-Exp
Gemma 3 12B
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Gemma 3 12B was released on 2025-03-12.
DeepSeek-V4-Flash-Vision-Exp is 18 months newer than Gemma 3 12B.
Aug 21, 2026
3 days ago
1.4yr newerMar 12, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek. Gemma 3 12B is available from DeepInfra.
DeepSeek-V4-Flash-Vision-Exp
Gemma 3 12B
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and Gemma 3 12B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs Gemma 3 12B.