Which is cheaper, DeepSeek R1 or Llama 4 Maverick?

Llama 4 Maverick is cheaper for both input ($0.20/M tokens) and output ($0.60/M tokens), compared to DeepSeek R1 at $0.55/$2.19 per million tokens.

Which is faster, DeepSeek R1 or Llama 4 Maverick?

Llama 4 Maverick is faster at 90 tokens/sec with a TTFT of 250ms, compared to DeepSeek R1 at 45 tokens/sec and 1800ms TTFT.

Which has a bigger context window, DeepSeek R1 or Llama 4 Maverick?

Llama 4 Maverick has a 1049K token context window, which is larger DeepSeek R1's 128K context window.

Which is better for coding, DeepSeek R1 or Llama 4 Maverick?

DeepSeek R1 has a higher coding ELO of 1330 compared to Llama 4 Maverick's 1280, making it the stronger choice for code generation and programming tasks.

DeepSeek R1 vs Llama 4 Maverick: Pricing, Benchmarks & Verdict (2026)

Name: DeepSeek R1 vs Llama 4 Maverick — Pricing, Benchmarks & Speed Comparison 2026
Creator: LLMversus
License: https://creativecommons.org/licenses/by/4.0/

Pricing verified Apr 20, 2026By LLMversusUpdated June 14, 2026View methodology

⚡ Quick Answer

Llama 4 Maverick is significantly cheaper at $0.20/$0.60 per million tokens vs $0.55/$2.19. DeepSeek R1 is stronger for coding with a coding ELO of 1330 vs 1280. Llama 4 Maverick is faster at 90 tokens/sec vs 45 tokens/sec. DeepSeek R1 ranks higher overall with an Arena ELO of 1310 vs 1290. Llama 4 Maverick offers a larger 1049K context window vs 128K.

Updated: April 20, 2026 · ✓ Pricing verified

Side-by-Side Comparison

Feature	DeepSeek R1	Llama 4 Maverick
Provider	DeepSeek	Meta
Input Price / 1M tokens	$0.500	$0.150
Output Price / 1M tokens	$2.15	$0.600
Context Window	128K	1.048576M
Max Output Tokens	8,192	32,768
Arena ELO	1,310	1,290
Coding ELO	1,330	1,280
TTFT (ms)	1,800	250
Tokens/sec	45	90
Multimodal	No	Yes
JSON Mode	Yes	Yes
Function Calling	No	Yes
Vision	No	Yes

When to Use DeepSeek R1

Choose DeepSeek R1 when you need: excellent reasoning at a fraction of o3's cost, open-source and self-hostable, top-tier math performance, very competitive with proprietary reasoning models. It excels at reasoning, math, coding, science tasks.

Strengths:

Excellent reasoning at a fraction of o3's cost
Open-source and self-hostable
Top-tier math performance
Very competitive with proprietary reasoning models

Best for:

reasoningmathcodingscience

When to Use Llama 4 Maverick

Choose Llama 4 Maverick when you need: open-source model with strong performance, very affordable via hosted providers, 1m context window, mixture-of-experts architecture. It excels at chatbots, coding, general-purpose, open-source tasks. It is also the more cost-effective option between the two. Its 1049K context window is larger, making it better for long-document processing.

Strengths:

Open-source model with strong performance
Very affordable via hosted providers
1M context window
Mixture-of-experts architecture

Best for:

chatbotscodinggeneral-purposeopen-source

DeepSeek R1 vs Llama 4 Maverick: Pricing, Benchmarks & Verdict (2026)

Side-by-Side Comparison

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