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Gemini 2.5 Pro vs Llama 4 Maverick

Complete pricing and performance comparison between Google's Gemini 2.5 Pro and Meta's Llama 4 Maverick.

Quick Verdict

Cheaper
Llama 4 Maverick
4.6x cheaper input, 11.8x cheaper output
Larger Context
Gemini 2.5 Pro
1.0M vs 1.0M
Higher Quality
Gemini 2.5 Pro
Score: 35 vs 18
Faster
Llama 4 Maverick
130 vs 128 tok/s

Pricing Comparison

SpecGemini 2.5 ProLlama 4 MaverickDifference
ProviderGoogleMeta
Input / 1M tokens$1.25$0.27Llama 4 Maverick is 78% more expensive
Output / 1M tokens$10$0.85Llama 4 Maverick is 92% more expensive
Context Window1.0M1.0MSame
Max Output66K16K

Performance Benchmarks

MetricGemini 2.5 ProLlama 4 MaverickWinner
Quality Index3518Gemini 2.5 Pro
Output Speed128 tok/s130 tok/sLlama 4 Maverick
Time to First Token22.13s0.48sLlama 4 Maverick
Value (Quality/$)27.768.1Higher = better value

Benchmark data from Artificial Analysis. Quality Index is a composite score across reasoning, coding, and knowledge tasks.

Cost at Scale

Estimated cost at different usage levels (3:1 input-to-output token ratio, typical for chat).

UsageGemini 2.5 ProLlama 4 MaverickSavings
Single request
1K in / 300 out
$0.0042$0.0005Llama 4 Maverick saves $0.0037
10 requests
10K in / 3K out
$0.042$0.0053Llama 4 Maverick saves $0.037
100 requests
100K in / 30K out
$0.425$0.053Llama 4 Maverick saves $0.372
1,000 requests
1M in / 300K out
$4.25$0.525Llama 4 Maverick saves $3.73
10,000 requests
10M in / 3M out
$42.50$5.25Llama 4 Maverick saves $37.25
1M requests/mo
1B in / 300M out
$4250.00$525.00Llama 4 Maverick saves $3725.00

Pros & Cons

Gemini 2.5 Pro Strengths

  • +Higher max output tokens
  • +Higher quality score (35 vs 18)

Llama 4 Maverick Strengths

  • +Cheaper input tokens
  • +Cheaper output tokens
  • +Faster output (130 vs 128 tok/s)
  • +Lower latency (faster first token)

When to Use Each Model

Choose Gemini 2.5 Pro for

  • →Generating long-form content or detailed code
  • →Tasks requiring maximum accuracy and reasoning

Choose Llama 4 Maverick for

  • →Budget-conscious projects where cost is the primary factor
  • →Real-time applications, chat, or autocomplete

Frequently Asked Questions

Which is cheaper, Gemini 2.5 Pro or Llama 4 Maverick?
For input tokens, Llama 4 Maverick is 4.6x cheaper at $0.27/1M tokens. For output tokens, Llama 4 Maverick is 11.8x cheaper at $0.85/1M tokens. At typical usage (1M input + 300K output), Gemini 2.5 Pro costs $4.25 vs Llama 4 Maverick at $0.525.
What's the context window difference?
Gemini 2.5 Pro supports 1.0M context (1,048,576 tokens), while Llama 4 Maverick supports 1.0M (1,048,576 tokens). Llama 4 Maverick can handle 1x more context in a single request.
Which model has better benchmarks?
Quality Index: Gemini 2.5 Pro scores 35 vs Llama 4 Maverick at 18. Speed: Gemini 2.5 Pro generates 128 tok/s vs Llama 4 Maverick at 130 tok/s. Time to first token: Gemini 2.5 Pro at 22.13s vs Llama 4 Maverick at 0.48s.
When should I choose Gemini 2.5 Pro over Llama 4 Maverick?
Choose Gemini 2.5 Pro when you need: Higher max output tokens, Higher quality score (35 vs 18). Choose Llama 4 Maverick when you need: Cheaper input tokens, Cheaper output tokens, Faster output (130 vs 128 tok/s), Lower latency (faster first token).
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): Gemini 2.5 Pro = $42.50, Llama 4 Maverick = $5.25. At 10K input + 1K output per request (longer conversations): Gemini 2.5 Pro = $225.00, Llama 4 Maverick = $35.50.

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Gemini 2.5 Pro DetailsLlama 4 Maverick DetailsFull Pricing TableCost Calculator