Which is cheaper, Gemini 2.5 Pro or Llama 4 Maverick?

Llama 4 Maverick is cheaper for both input ($0.20/M tokens) and output ($0.60/M tokens), compared to Gemini 2.5 Pro at $1.25/$10.00 per million tokens.

Which is faster, Gemini 2.5 Pro or Llama 4 Maverick?

Llama 4 Maverick is faster at 90 tokens/sec with a TTFT of 250ms, compared to Gemini 2.5 Pro at 70 tokens/sec and 400ms TTFT.

Which has a bigger context window, Gemini 2.5 Pro or Llama 4 Maverick?

Gemini 2.5 Pro has a 1049K token context window, which is equal to Llama 4 Maverick's 1049K context window.

Which is better for coding, Gemini 2.5 Pro or Llama 4 Maverick?

Gemini 2.5 Pro has a higher coding ELO of 1350 compared to Llama 4 Maverick's 1280, making it the stronger choice for code generation and programming tasks.

Gemini 2.5 Pro vs Llama 4 Maverick: Pricing, Benchmarks & Verdict (2026)

Name: Gemini 2.5 Pro 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 $1.25/$10.00. Gemini 2.5 Pro is stronger for coding with a coding ELO of 1350 vs 1280. Gemini 2.5 Pro ranks higher overall with an Arena ELO of 1340 vs 1290.

Updated: April 20, 2026 · ✓ Pricing verified

Side-by-Side Comparison

Feature	Gemini 2.5 Pro	Llama 4 Maverick
Provider	Google	Meta
Input Price / 1M tokens	$1.25	$0.150
Output Price / 1M tokens	$10.00	$0.600
Context Window	1.048576M	1.048576M
Max Output Tokens	65,536	32,768
Arena ELO	1,430	1,290
Coding ELO	1,430	1,280
TTFT (ms)	400	250
Tokens/sec	70	90
Multimodal	Yes	Yes
JSON Mode	Yes	Yes
Function Calling	Yes	Yes
Vision	Yes	Yes

When to Use Gemini 2.5 Pro

Choose Gemini 2.5 Pro when you need: 1m token context window, excellent reasoning capabilities, strong coding performance, native multimodal support. It excels at coding, reasoning, long-context, multimodal tasks.

Strengths:

1M token context window
Excellent reasoning capabilities
Strong coding performance
Native multimodal support

Best for:

codingreasoninglong-contextmultimodal

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.

Strengths:

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

Best for:

chatbotscodinggeneral-purposeopen-source

Gemini 2.5 Pro vs Llama 4 Maverick: Pricing, Benchmarks & Verdict (2026)

Side-by-Side Comparison

Frequently Asked Questions

Related Comparisons