GPT-4.1 mini vs Llama 4 Maverick
GPT-4.1 mini and Llama 4 Maverick are closely matched at 14.2 and 14.8 on the LLM Stats Score. Llama 4 Maverick is 2.5x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-4.1 mini and Llama 4 Maverick are closely matched on the overall LLM Stats Score at 14.2 and 14.8.
In the 4 individual benchmarks reported for both models, Llama 4 Maverick wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 4 Maverick is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 mini also accepts a larger context window (1,047,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4.1 mini
- you process long inputs — it offers a 1,047,576 token context window
- you want the most recent training data — it shipped Apr 2025
Choose Llama 4 Maverick
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- cost matters — it's about 2.5x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
28 reported for GPT-4.1 mini · 13 for Llama 4 Maverick
GPT-4.1 mini outperforms in 1 benchmarks (MMLU), while Llama 4 Maverick is better at 3 benchmarks (GPQA, MathVista, MMMU).
Llama 4 Maverick shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4.1 mini ($0.40/1M tokens) is 2.4x more expensive than Llama 4 Maverick ($0.17/1M tokens).
For output processing, GPT-4.1 mini ($1.60/1M tokens) is 2.7x more expensive than Llama 4 Maverick ($0.60/1M tokens).
In conclusion, GPT-4.1 mini is more expensive than Llama 4 Maverick.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 mini accepts 1,047,576 input tokens compared to Llama 4 Maverick's 1,000,000 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while GPT-4.1 mini is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4.1 mini and Llama 4 Maverick support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4.1 mini
Llama 4 Maverick
License
Usage and distribution terms
GPT-4.1 mini is licensed under a proprietary license, while Llama 4 Maverick uses Llama 4 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
GPT-4.1 mini was released on 2025-04-14, while Llama 4 Maverick was released on 2025-04-05.
GPT-4.1 mini is 0 month newer than Llama 4 Maverick.
Apr 14, 2025
1.4 years ago
1w newerApr 5, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while Llama 4 Maverick's cutoff date is not specified.
We can confirm GPT-4.1 mini's training data extends to 2024-05-31, but cannot make a direct comparison without Llama 4 Maverick's cutoff date.
May 2024
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Provider Availability
GPT-4.1 mini is available from OpenAI. Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.
GPT-4.1 mini
Llama 4 Maverick
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 mini and Llama 4 Maverick side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 mini vs Llama 4 Maverick.