Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek

DeepSeek VL2

DeepSeek

DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). The model shows particular specialization in vision tasks with an average performance of 76.7%. It supports a 259K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Google

Gemini 1.0 Pro

Google

Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

Google

Gemini 1.0 Pro

Google

2024-02-15

DeepSeek

DeepSeek VL2

DeepSeek

2024-12-13

10 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek VL2

Input:$9.50
Output:$4800.00
Google

Gemini 1.0 Pro

$4807.50 cheaper
Input:$0.50
Output:$1.50

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2

Larger context
Max Context:258.6K
Parameters:27.0B
Google

Gemini 1.0 Pro

Max Context:41.0K

Average performance across 2 common benchmarks

DeepSeek

DeepSeek VL2

+9.7%
Average Score:57.0%
Google

Gemini 1.0 Pro

Average Score:47.3%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2

vision
+28.8%
76.7%
general
+18.5%
69.9%
math
+23.2%
62.8%
Google

Gemini 1.0 Pro

vision
47.9%
general
51.4%
math
39.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.0 Pro

2024-02-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2

1 providers

Replicate

Throughput: 22 tok/s
Latency: 0.5ms
Google

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s
Latency: 0.4ms
DeepSeek

DeepSeek VL2

+9.7%
Avg Score:57.0%
Providers:1
Google

Gemini 1.0 Pro

Avg Score:47.3%
Providers:1