The AI arena is free today

Open Superagent

DeepSeek-V3 vs Llama 4 Maverick

DeepSeek-V3 and Llama 4 Maverick are closely matched at 15.1 and 14.1 on the LLM Stats Score. Llama 4 Maverick is 1.5x cheaper per token.

DeepSeek · Meta · Updated for 2026

Which is better?

DeepSeek-V3 and Llama 4 Maverick are closely matched on the overall LLM Stats Score at 15.1 and 14.1.

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 1.5x 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 DeepSeek-V3

  • you want predictable pricing at $0.27/M input and $0.89/M output

Choose Llama 4 Maverick

  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • cost matters — it's about 1.5x 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

At a glance

The differences that matter most.

DeepSeek-V3
DeepSeek
Llama 4 Maverick
Meta
Core performance indexes
LLM Stats Score
15.1
#264
14.1
#270
Reasoning
14.2
#263
13.8
#266
Coding
5.9
#224
2.9
#252
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
$0.27 / M
$0.17 / M
Output price
$0.89 / M
$0.60 / M
Context window
131,072
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V3
Llama 4 Maverick
Math
18.0#203
20.3#173
Finance
20.1#86
18.8#95
Legal
20.1#69
18.8#79
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V3 · 13 for Llama 4 Maverick

4 shared

DeepSeek-V3 outperforms in 1 benchmarks (MMLU), while Llama 4 Maverick is better at 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro).

Llama 4 Maverick shows notably better performance in the majority of benchmarks.

Fri Oct 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 4 Maverick costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 1.6x more expensive than Llama 4 Maverick ($0.17/1M tokens).

For output processing, DeepSeek-V3 ($0.89/1M tokens) is 1.5x more expensive than Llama 4 Maverick ($0.60/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than Llama 4 Maverick.*

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

Lowest available price from all providers
Fri Oct 30 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$0.89
Best providerDeepSeek
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

271.0B diff

DeepSeek-V3 has 271.0B more parameters than Llama 4 Maverick, making it 67.8% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
671.0B
DeepSeek-V3
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-V3's 131,072 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while DeepSeek-V3 is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Llama 4 Maverick supports multimodal inputs, whereas DeepSeek-V3 does not.

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

DeepSeek-V3

Text
Images
Audio
Video

Llama 4 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), 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-V3

MIT + Model License (Commercial use allowed)

Open weights

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Llama 4 Maverick was released on 2025-04-05.

Llama 4 Maverick is 3 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.8 years ago

Llama 4 Maverick

Apr 5, 2025

1.6 years ago

3mo 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

DeepSeek-V3 is available from DeepSeek, DeepInfra. Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.32/1MOutput Price:Output: $0.89/1M

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

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V3 and Llama 4 Maverick side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Llama 4 Maverick
Open in Playground

FAQ

Common questions about DeepSeek-V3 vs Llama 4 Maverick.

Which is better, DeepSeek-V3 or Llama 4 Maverick?

DeepSeek-V3 and Llama 4 Maverick are closely matched on the LLM Stats Score at 15.1 and 14.1. DeepSeek-V3 is made by DeepSeek and Llama 4 Maverick is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3 compare to Llama 4 Maverick in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.

Is DeepSeek-V3 cheaper than Llama 4 Maverick?

Llama 4 Maverick is 1.6x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $0.89/M output via deepseek. Llama 4 Maverick costs $0.17/M input and $0.60/M output via deepinfra.

What are the context window sizes for DeepSeek-V3 and Llama 4 Maverick?

DeepSeek-V3 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.

What are the main differences between DeepSeek-V3 and Llama 4 Maverick?

Key differences include LLM Stats Score (15.1 vs 14.1), context window (131K vs 1.0M), input pricing ($0.27 vs $0.17/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Llama 4 Maverick?

DeepSeek-V3 is developed by DeepSeek and Llama 4 Maverick is developed by Meta.

Related comparisons