Which is cheaper, GPT-4.1 or Llama 4 Maverick?

Llama 4 Maverick is cheaper for both input ($0.20/M tokens) and output ($0.60/M tokens), compared to GPT-4.1 at $2.00/$8.00 per million tokens.

Which is faster, GPT-4.1 or Llama 4 Maverick?

Llama 4 Maverick is faster at 90 tokens/sec with a TTFT of 250ms, compared to GPT-4.1 at 88 tokens/sec and 260ms TTFT.

Which has a bigger context window, GPT-4.1 or Llama 4 Maverick?

Llama 4 Maverick has a 1049K token context window, which is larger GPT-4.1's 1048K context window.

Which is better for coding, GPT-4.1 or Llama 4 Maverick?

GPT-4.1 has a higher coding ELO of 1320 compared to Llama 4 Maverick's 1280, making it the stronger choice for code generation and programming tasks.

GPT-4 1 vs Llama 4 Maverick: Pricing, Benchmarks & Verdict (2026)

Name: GPT-4 1 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 $2.00/$8.00. GPT-4.1 is stronger for coding with a coding ELO of 1320 vs 1280.

Updated: April 20, 2026 · ✓ Pricing verified

Side-by-Side Comparison

Feature	GPT-4 1	Llama 4 Maverick
Provider	OpenAI	Meta
Input Price / 1M tokens	$2.00	$0.150
Output Price / 1M tokens	$8.00	$0.600
Context Window	8.192K	1.048576M
Max Output Tokens	2,048	32,768
Arena ELO	1,200	1,290
Coding ELO	1,210	1,280
TTFT (ms)	160	250
Tokens/sec	85	90
Multimodal	No	Yes
JSON Mode	Yes	Yes
Function Calling	Yes	Yes
Vision	No	Yes

When to Use GPT-4 1

Choose GPT-4.1 when you need: 1m token context window, excellent coding performance, strong instruction following, competitive pricing for its capability. It excels at coding, long-context, agents, general-purpose tasks.

Strengths:

Good quality
Affordable
Reliable

Best for:

general-purposecoding

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

GPT-4 1 vs Llama 4 Maverick: Pricing, Benchmarks & Verdict (2026)

Side-by-Side Comparison

Frequently Asked Questions

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