Model Comparison

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

DeepSeek

DeepSeek-R1

DeepSeek

DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Google

Gemini 1.5 Flash 8B

Google

Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). 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 2024, it represents Google's latest advancement in AI technology.

Google

Gemini 1.5 Flash 8B

Google

2024-03-15

DeepSeek

DeepSeek-R1

DeepSeek

2025-01-20

10 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-R1

Input:$0.55
Output:$2.19
Google

Gemini 1.5 Flash 8B

$2.37 cheaper
Input:$0.07
Output:$0.30

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-R1

Max Context:262.1K
Parameters:671.0B
Google

Gemini 1.5 Flash 8B

Larger context
Max Context:1.1M
Parameters:8.0B

Average performance across 2 common benchmarks

DeepSeek

DeepSeek-R1

+29.2%
Average Score:77.8%
Google

Gemini 1.5 Flash 8B

Average Score:48.5%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-R1

math
+48.6%
97.3%
code
+23.9%
82.1%
general
+8.0%
75.3%
Google

Gemini 1.5 Flash 8B

math
48.7%
code
58.2%
general
67.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Flash 8B

2024-10-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-R1

4 providers

Together

Throughput: 4 tok/s
Latency: 0.6ms

DeepInfra

Throughput: 0.9 tok/s
Latency: 0.3ms

Fireworks

Throughput: 2.1 tok/s
Latency: 0.3ms

DeepSeek

Throughput: 9 tok/s
Latency: 0.3ms
Google

Gemini 1.5 Flash 8B

1 providers

Google

Throughput: 150 tok/s
Latency: 0.3ms
DeepSeek

DeepSeek-R1

+29.2%
Avg Score:77.8%
Providers:4
Google

Gemini 1.5 Flash 8B

Avg Score:48.5%
Providers:1