Model Comparison

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

DeepSeek

DeepSeek-V3 0324

DeepSeek

DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Meta

Llama 4 Scout

Meta

Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.

DeepSeek

DeepSeek-V3 0324

DeepSeek

2025-03-25

Meta

Llama 4 Scout

Meta

2025-04-05

11 days newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3 0324

Max Context:-
Parameters:671.0B
Meta

Llama 4 Scout

Larger context
Max Context:20.0M
Parameters:109.0B

Average performance across 3 common benchmarks

DeepSeek

DeepSeek-V3 0324

+11.5%
Average Score:66.3%
Meta

Llama 4 Scout

Average Score:54.8%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3 0324

math
+23.5%
94.0%
general
+3.4%
69.7%
code
49.2%
Meta

Llama 4 Scout

math
70.5%
general
66.3%
code
+1.1%
50.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3 0324

0 providers
Meta

Llama 4 Scout

6 providers

Together

Throughput: 106.9 tok/s
Latency: 0.54ms

DeepInfra

Throughput: 76.1 tok/s
Latency: 0.31ms

Fireworks

Throughput: 116.1 tok/s
Latency: 0.53ms

Groq

Throughput: 776.1 tok/s
Latency: 1.08ms

Novita

Throughput: 69.82 tok/s
Latency: 0.85ms

Lambda

Throughput: 139.7 tok/s
Latency: 0.43ms
DeepSeek

DeepSeek-V3 0324

+11.5%
Avg Score:66.3%
Providers:0
Meta

Llama 4 Scout

Avg Score:54.8%
Providers:6