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DeepSeek-V4.1-Flash-1017 vs Llama 4 Maverick

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 14.2. Llama 4 Maverick is 1.9x cheaper per token.

DeepSeek · Meta · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.2 to 14.2, ranking #15 overall.

On price, Llama 4 Maverick is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash-1017 also accepts a larger context window (1,048,576 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 DeepSeek-V4.1-Flash-1017

  • overall performance matters — it scores 51.2 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Llama 4 Maverick

  • cost matters — it's about 1.9x cheaper per token

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Llama 4 Maverick
Meta
Core performance indexes
LLM Stats Score
51.2
#15
14.2
#260
Reasoning
48.8
#18
13.8
#256
Coding
39.3
#14
2.9
#242
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
$0.17 / M
Output price
$1.20 / M
$0.60 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V4.1-Flash-1017
Llama 4 Maverick
Math
31.8#69
20.4#168
Vision
32.3#25
12.3#119
Multimodal
35.0#14
15.6#104
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 13 for Llama 4 Maverick

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and Llama 4 Maverickdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

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-V4.1-Flash-1017 ($0.30/1M tokens) is 1.8x more expensive than Llama 4 Maverick ($0.17/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 2.0x more expensive than Llama 4 Maverick ($0.60/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 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 23 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
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

363.2B diff

DeepSeek-V4.1-Flash-1017 has 363.2B more parameters than Llama 4 Maverick, making it 90.8% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
400.0B
Llama 4 Maverick

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 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 DeepSeek-V4.1-Flash-1017 is limited to 393,216 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Llama 4 Maverick support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Llama 4 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017

MIT

Open weights

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Llama 4 Maverick was released on 2025-04-05.

DeepSeek-V4.1-Flash-1017 is 19 months newer than Llama 4 Maverick.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

1.5yr newer
Llama 4 Maverick

Apr 5, 2025

1.5 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-V4.1-Flash-1017 is available from DeepSeek. Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

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-V4.1-Flash-1017 and Llama 4 Maverick side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Llama 4 Maverick
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Llama 4 Maverick.

Which is better, DeepSeek-V4.1-Flash-1017 or Llama 4 Maverick?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.2 to 14.2. DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017 compare to Llama 4 Maverick in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.

Is DeepSeek-V4.1-Flash-1017 cheaper than Llama 4 Maverick?

Llama 4 Maverick is 1.8x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/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-V4.1-Flash-1017 and Llama 4 Maverick?

DeepSeek-V4.1-Flash-1017 supports 1.0M 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-V4.1-Flash-1017 and Llama 4 Maverick?

Key differences include LLM Stats Score (51.2 vs 14.2), context window (1.0M vs 1.0M), input pricing ($0.30 vs $0.17/M), licensing (MIT vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Llama 4 Maverick?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Llama 4 Maverick is developed by Meta.

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