Model Comparison

DeepSeek-R1-0528 vs Llama 4 Maverick

DeepSeek-R1-0528 significantly outperforms across most benchmarks. Llama 4 Maverick is 3.3x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-R1-0528 outperforms in 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro), while Llama 4 Maverick is better at 0 benchmarks.

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Sun Apr 05 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Maverick costs less

For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) is 2.9x more expensive than Llama 4 Maverick ($0.17/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 3.6x more expensive than Llama 4 Maverick ($0.60/1M tokens).

In conclusion, DeepSeek-R1-0528 is more expensive than Llama 4 Maverick.*

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

Lowest available price from all providers
Sun Apr 05 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

271.0B diff

DeepSeek-R1-0528 has 271.0B more parameters than Llama 4 Maverick, making it 67.8% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
671.0B
DeepSeek-R1-0528
400.0B
Llama 4 Maverick

Context Window

Maximum input and output token capacity

Llama 4 Maverick accepts 1,000,000 input tokens compared to DeepSeek-R1-0528's 131,072 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while DeepSeek-R1-0528 is limited to 131,072 tokens.

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Sun Apr 05 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Maverick supports multimodal inputs, whereas DeepSeek-R1-0528 does not.

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

DeepSeek-R1-0528

Text
Images
Audio
Video

Llama 4 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, 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.

DeepSeek-R1-0528

MIT

Open weights

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Llama 4 Maverick was released on 2025-04-05.

DeepSeek-R1-0528 is 2 months newer than Llama 4 Maverick.

DeepSeek-R1-0528

May 28, 2025

10 months ago

1mo newer
Llama 4 Maverick

Apr 5, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.

DeepSeek-R1-0528

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M
deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

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 GPQA score (81.0% vs 69.8%)
Higher LiveCodeBench score (73.3% vs 43.4%)
Higher MMLU-Pro score (85.0% vs 80.5%)
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
Meta
Llama 4 Maverick

FAQ

Common questions about DeepSeek-R1-0528 vs Llama 4 Maverick

DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-R1-0528 is made by DeepSeek and Llama 4 Maverick is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.
Llama 4 Maverick is 2.9x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. Llama 4 Maverick costs $0.17/M input and $0.60/M output via deepinfra.
DeepSeek-R1-0528 supports 131K 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 (131K vs 1.0M), input pricing ($0.50 vs $0.17/M), multimodal support (no vs yes), licensing (MIT vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1-0528 is developed by DeepSeek and Llama 4 Maverick is developed by Meta.