Model Comparison

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

xAI

Grok-4 Heavy

xAI

Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). The model shows particular specialization in general tasks with an average performance of 79.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI'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

xAI

Grok-4 Heavy

xAI

2025-07-09

7 months newer

Performance Metrics

Context window and performance specifications

xAI

Grok-4 Heavy

Max Context:-
Meta

Llama 3.3 70B Instruct

Larger context
Max Context:256.0K
Parameters:70.0B

Average performance across 1 common benchmarks

xAI

Grok-4 Heavy

+37.9%
Average Score:88.4%
Meta

Llama 3.3 70B Instruct

Average Score:50.5%

Performance comparison across key benchmark categories

xAI

Grok-4 Heavy

code
79.4%
general
+8.9%
79.5%
Meta

Llama 3.3 70B Instruct

code
+10.0%
89.4%
general
70.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Grok-4 Heavy

2024-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

xAI

Grok-4 Heavy

0 providers
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
xAI

Grok-4 Heavy

+37.9%
Avg Score:88.4%
Providers:0
Meta

Llama 3.3 70B Instruct

Avg Score:50.5%
Providers:9