Model Comparison

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

Meta

Llama 3.1 405B Instruct

Meta

Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 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 3.1 405B Instruct

Meta

2024-07-23

Mistral AI

Magistral Small 2506

Mistral AI

2025-06-10

10 months newer

Performance Metrics

Context window and performance specifications

Meta

Llama 3.1 405B Instruct

Larger context
Max Context:256.0K
Parameters:405.0B
Mistral AI

Magistral Small 2506

Max Context:-
Parameters:24.0B

Average performance across 1 common benchmarks

Meta

Llama 3.1 405B Instruct

Average Score:50.7%
Mistral AI

Magistral Small 2506

+17.5%
Average Score:68.2%

Performance comparison across key benchmark categories

Meta

Llama 3.1 405B Instruct

code
+30.1%
81.4%
general
+6.0%
73.2%
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 3.1 405B Instruct

8 providers

Together

Throughput: 35 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 40 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 27 tok/s
Latency: 0.5ms

Google

Throughput: 42 tok/s
Latency: 0.4ms

Fireworks

Throughput: 78 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Replicate

Throughput: 22 tok/s
Latency: 0.5ms
Mistral AI

Magistral Small 2506

0 providers
Meta

Llama 3.1 405B Instruct

Avg Score:50.7%
Providers:8
Mistral AI

Magistral Small 2506

+17.5%
Avg Score:68.2%
Providers:0