Model Comparison

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

DeepSeek

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Google

Gemini 2.5 Pro Preview 06-05

Google

Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2025, it represents Google's latest advancement in AI technology.

DeepSeek

DeepSeek-V3

DeepSeek

2024-12-25

Google

Gemini 2.5 Pro Preview 06-05

Google

2025-06-05

5 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3

$9.88 cheaper
Input:$0.27
Output:$1.10
Google

Gemini 2.5 Pro Preview 06-05

Input:$1.25
Output:$10.00

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3

Max Context:262.1K
Parameters:671.0B
Google

Gemini 2.5 Pro Preview 06-05

Larger context
Max Context:1.1M

Average performance across 5 common benchmarks

DeepSeek

DeepSeek-V3

Average Score:42.6%
Google

Gemini 2.5 Pro Preview 06-05

+29.1%
Average Score:71.8%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3

code
+5.1%
73.2%
general
65.1%
long_context
+32.3%
48.7%
Google

Gemini 2.5 Pro Preview 06-05

code
68.1%
general
+4.7%
69.8%
long_context
16.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.5 Pro Preview 06-05

2025-01-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
Google

Gemini 2.5 Pro Preview 06-05

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
DeepSeek

DeepSeek-V3

Avg Score:42.6%
Providers:1
Google

Gemini 2.5 Pro Preview 06-05

+29.1%
Avg Score:71.8%
Providers:1