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.

Meta

Llama 3.3 70B Instruct

Meta

Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). The model shows particular specialization in code tasks with an average performance of 89.4%. It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Meta

Llama 3.3 70B Instruct

Meta

2024-12-06

DeepSeek

DeepSeek-V3

DeepSeek

2024-12-25

19 days newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3

Input:$0.27
Output:$1.10
Meta

Llama 3.3 70B Instruct

$0.97 cheaper
Input:$0.20
Output:$0.20

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3

Larger context
Max Context:262.1K
Parameters:671.0B
Meta

Llama 3.3 70B Instruct

Max Context:256.0K
Parameters:70.0B

Average performance across 4 common benchmarks

DeepSeek

DeepSeek-V3

+3.0%
Average Score:77.4%
Meta

Llama 3.3 70B Instruct

Average Score:74.4%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3

math
+6.2%
90.2%
code
73.2%
general
65.1%
Meta

Llama 3.3 70B Instruct

math
84.0%
code
+16.2%
89.4%
general
+5.5%
70.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
Meta

Llama 3.3 70B Instruct

9 providers

Sambanova

Throughput: 1096 tok/s
Latency: 0.65ms

Together

Throughput: 65 tok/s
Latency: 0.65ms

Hyperbolic

Throughput: 42 tok/s
Latency: 0.65ms

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms

Fireworks

Throughput: 197 tok/s
Latency: 0.65ms

Groq

Throughput: 268 tok/s
Latency: 0.65ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.65ms

Cerebras

Throughput: 2220 tok/s
Latency: 0.65ms
DeepSeek

DeepSeek-V3

+3.0%
Avg Score:77.4%
Providers:1
Meta

Llama 3.3 70B Instruct

Avg Score:74.4%
Providers:9