Model Comparison

Llama 3.1 405B Instruct vs Llama 4 Maverick

Both models are evenly matched across the benchmarks. Llama 4 Maverick is 3.2x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Llama 3.1 405B Instruct outperforms in 2 benchmarks (MATH, MMLU), while Llama 4 Maverick is better at 2 benchmarks (GPQA, MMLU-Pro).

Both models are evenly matched across the benchmarks.

Thu Apr 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Maverick costs less

For input processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 5.2x more expensive than Llama 4 Maverick ($0.17/1M tokens).

For output processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 1.5x more expensive than Llama 4 Maverick ($0.60/1M tokens).

In conclusion, Llama 3.1 405B Instruct is more expensive than Llama 4 Maverick.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
Meta
Llama 3.1 405B Instruct
Input tokens$0.89
Output tokens$0.89
Best providerLambda
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
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Model Size

Parameter count comparison

5.0B diff

Llama 3.1 405B Instruct has 5.0B more parameters than Llama 4 Maverick, making it 1.3% larger.

Meta
Llama 3.1 405B Instruct
405.0Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
405.0B
Llama 3.1 405B Instruct
400.0B
Llama 4 Maverick

Context Window

Maximum input and output token capacity

Llama 4 Maverick accepts 1,000,000 input tokens compared to Llama 3.1 405B Instruct's 128,000 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while Llama 3.1 405B Instruct is limited to 128,000 tokens.

Meta
Llama 3.1 405B Instruct
Input128,000 tokens
Output128,000 tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Maverick supports multimodal inputs, whereas Llama 3.1 405B Instruct does not.

Llama 4 Maverick can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.1 405B Instruct

Text
Images
Audio
Video

Llama 4 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 405B Instruct is licensed under Llama 3.1 Community 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.

Llama 3.1 405B Instruct

Llama 3.1 Community License

Open weights

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Llama 3.1 405B Instruct was released on 2024-07-23, while Llama 4 Maverick was released on 2025-04-05.

Llama 4 Maverick is 9 months newer than Llama 3.1 405B Instruct.

Llama 3.1 405B Instruct

Jul 23, 2024

1.8 years ago

Llama 4 Maverick

Apr 5, 2025

1.1 years ago

8mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Llama 3.1 405B Instruct is available from Lambda, DeepInfra, Fireworks, Bedrock, Together, Hyperbolic, Google, Replicate. Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.

Llama 3.1 405B Instruct

lambda logo
Lambda
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.79/1MOutput Price:Output: $1.79/1M
fireworks logo
Fireworks
Input Price:Input: $3.00/1MOutput Price:Output: $3.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $3.00/1M
together logo
Together
Input Price:Input: $3.50/1MOutput Price:Output: $3.50/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $4.00/1MOutput Price:Output: $4.00/1M
google logo
Google
Input Price:Input: $5.00/1MOutput Price:Output: $16.00/1M
replicate logo
Replicate
Input Price:Input: $9.50/1MOutput Price:Output: $9.50/1M

Llama 4 Maverick

deepinfra logo
Deepinfra
Input Price:Input: $0.17/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.85/1M
lambda logo
Lambda
Input Price:Input: $0.18/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.88/1M
together logo
Together
Input Price:Input: $0.27/1MOutput Price:Output: $0.85/1M
sambanova logo
Sambanova
Input Price:Input: $0.63/1MOutput Price:Output: $1.79/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher MATH score (73.8% vs 61.2%)
Higher MMLU score (87.3% vs 85.5%)
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (69.8% vs 50.7%)
Higher MMLU-Pro score (80.5% vs 73.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.1 405B Instruct
Meta
Llama 4 Maverick

FAQ

Common questions about Llama 3.1 405B Instruct vs Llama 4 Maverick

Both models are evenly matched across the benchmarks. Llama 3.1 405B Instruct is made by Meta and Llama 4 Maverick is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Llama 3.1 405B Instruct scores ARC-C: 96.9%, GSM8k: 96.8%, API-Bank: 92.0%, Multilingual MGSM (CoT): 91.6%, HumanEval: 89.0%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.
Llama 4 Maverick is 5.2x cheaper for input tokens. Llama 3.1 405B Instruct costs $0.89/M input and $0.89/M output via lambda. Llama 4 Maverick costs $0.17/M input and $0.60/M output via deepinfra.
Llama 3.1 405B Instruct supports 128K tokens and Llama 4 Maverick supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 1.0M), input pricing ($0.89 vs $0.17/M), multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.