Model Comparison

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

Mistral AI

Codestral-22B

Mistral AI

Codestral-22B is a language model developed by Mistral AI. It achieves strong performance with an average score of 65.9% across 7 benchmarks. It excels particularly in HumanEvalFIM-Average (91.6%), HumanEval (81.1%), MBPP (78.2%). The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Meta

Llama 4 Maverick

Meta

Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). The model shows particular specialization in vision tasks with an average performance of 75.8%. With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 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.

Mistral AI

Codestral-22B

Mistral AI

2024-05-29

Meta

Llama 4 Maverick

Meta

2025-04-05

10 months newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Codestral-22B

Input:$0.20
Output:$0.60
Meta

Llama 4 Maverick

$0.03 cheaper
Input:$0.17
Output:$0.60

Performance Metrics

Context window and performance specifications

Mistral AI

Codestral-22B

Max Context:65.5K
Parameters:22.2B
Meta

Llama 4 Maverick

Larger context
Max Context:2.0M
Parameters:400.0B

Average performance across 1 common benchmarks

Mistral AI

Codestral-22B

+0.6%
Average Score:78.2%
Meta

Llama 4 Maverick

Average Score:77.6%

Performance comparison across key benchmark categories

Mistral AI

Codestral-22B

general
34.0%
code
+10.7%
71.2%
Meta

Llama 4 Maverick

general
+37.5%
71.5%
code
60.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Codestral-22B

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Meta

Llama 4 Maverick

7 providers

Sambanova

Throughput: 638.7 tok/s
Latency: 2.04ms

Together

Throughput: 97.93 tok/s
Latency: 0.2ms

DeepInfra

Throughput: 83.59 tok/s
Latency: 0.38ms

Fireworks

Throughput: 63.03 tok/s
Latency: 0.62ms

Groq

Throughput: 307.3 tok/s
Latency: 0.27ms

Novita

Throughput: 69.42 tok/s
Latency: 0.62ms

Lambda

Throughput: 93.69 tok/s
Latency: 0.65ms
Mistral AI

Codestral-22B

+0.6%
Avg Score:78.2%
Providers:2
Meta

Llama 4 Maverick

Avg Score:77.6%
Providers:7