Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 62.8% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than Devstral Small 1.1. Both models have similar pricing. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Llama 4 Maverick is the stronger choice for coding tasks.
Mistral AI
Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 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%). 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.
3 months newer
Llama 4 Maverick
Meta
2025-04-05
Devstral Small 1.1
Mistral AI
2025-07-11
Cost per million tokens (USD)
Devstral Small 1.1
Llama 4 Maverick
Context window and performance specifications
Average performance across 14 common benchmarks
Devstral Small 1.1
Llama 4 Maverick
Available providers and their performance metrics
Devstral Small 1.1
Mistral AI
Llama 4 Maverick
Devstral Small 1.1
Llama 4 Maverick
Devstral Small 1.1
Llama 4 Maverick
DeepInfra
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