Llama 4 Maverick vs o1-mini
Llama 4 Maverick and o1-mini are closely matched at 14.9 and 10.2 on the LLM Stats Score. Llama 4 Maverick is 18.9x cheaper per token.
Meta · OpenAI · Updated for 2026
Which is better?
Llama 4 Maverick and o1-mini are closely matched on the overall LLM Stats Score at 14.9 and 10.2.
In the 2 individual benchmarks reported for both models, Llama 4 Maverick wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 4 Maverick is roughly 18.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Maverick also accepts a larger context window (1,000,000 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 Llama 4 Maverick
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 18.9x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Apr 2025
- you need open weights you can self-host or fine-tune
Choose o1-mini
- you want predictable pricing at $3.00/M input and $12.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Llama 4 Maverick · 6 for o1-mini
Llama 4 Maverick outperforms in 2 benchmarks (GPQA, MMLU), while o1-mini is better at 0 benchmarks.
Llama 4 Maverick significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 4 Maverick ($0.17/1M tokens) is 17.6x cheaper than o1-mini ($3.00/1M tokens).
For output processing, Llama 4 Maverick ($0.60/1M tokens) is 20.0x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-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
Llama 4 Maverick accepts 1,000,000 input tokens compared to o1-mini's 128,000 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while o1-mini is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Llama 4 Maverick supports multimodal inputs, whereas o1-mini does not.
Llama 4 Maverick can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 4 Maverick
o1-mini
License
Usage and distribution terms
Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while o1-mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 4 Community License Agreement
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Llama 4 Maverick was released on 2025-04-05, while o1-mini was released on 2024-09-12.
Llama 4 Maverick is 7 months newer than o1-mini.
Apr 5, 2025
1.4 years ago
6mo newerSep 12, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova. o1-mini is available from OpenAI, Azure.
Llama 4 Maverick
o1-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 4 Maverick and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 4 Maverick vs o1-mini.