Model Comparison

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

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.

Mistral AI

Magistral Small 2506

Mistral AI

Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Meta

Llama 3.3 70B Instruct

Meta

2024-12-06

Mistral AI

Magistral Small 2506

Mistral AI

2025-06-10

6 months newer

Performance Metrics

Context window and performance specifications

Meta

Llama 3.3 70B Instruct

Larger context
Max Context:256.0K
Parameters:70.0B
Mistral AI

Magistral Small 2506

Max Context:-
Parameters:24.0B

Average performance across 1 common benchmarks

Meta

Llama 3.3 70B Instruct

Average Score:50.5%
Mistral AI

Magistral Small 2506

+17.7%
Average Score:68.2%

Performance comparison across key benchmark categories

Meta

Llama 3.3 70B Instruct

code
+38.1%
89.4%
general
+3.5%
70.7%
Mistral AI

Magistral Small 2506

code
51.3%
general
67.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Magistral Small 2506

2025-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

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
Mistral AI

Magistral Small 2506

0 providers
Meta

Llama 3.3 70B Instruct

Avg Score:50.5%
Providers:9
Mistral AI

Magistral Small 2506

+17.7%
Avg Score:68.2%
Providers:0