workhorse
Gemini 2.5 Pro vs Llama 4 Maverick 17b 128e Instruct
Side-by-side pricing, context window, features, and per-use-case verdict. Data sourced from LiteLLM, updated regularly.
Specifications
| Feature | Gemini 2.5 Pro | Llama 4 Maverick 17b 128e Instruct |
|---|---|---|
| Provider | vertex ai-language-models | groq |
| Model ID | gemini-2.5-pro | groq/meta-llama/llama-4-maverick-17b-128e-instruct |
| Input / 1M tokens | $1.25 | $0.20 (84% cheaper) |
| Output / 1M tokens | $10.00 | $0.60 (94% cheaper) |
| Cached input / 1M | $0.13 | — |
| Context window | 1049kk tokens | 131kk tokens |
| Max output | 66kk tokens | 8kk tokens |
| Vision | ✅ | ✅ |
| Function calling | ✅ | ✅ |
| Prompt caching | ✅ | ⬜ |
| Web search | ✅ | ⬜ |
| JSON schema | ✅ | ✅ |
Monthly cost comparison
No cache discount applied — pure token costs at three usage scales.
| Scale | Gemini 2.5 Pro | Llama 4 Maverick 17b 128e Instruct | Winner |
|---|---|---|---|
| Small 1M in / 0.2M out | $3.25 | $0.32 | Llama 4 Maverick 17b 128e Instruct saves 90% |
| Medium 10M in / 2M out | $32.50 | $3.20 | Llama 4 Maverick 17b 128e Instruct saves 90% |
| Large 100M in / 20M out | $325 | $32.00 | Llama 4 Maverick 17b 128e Instruct saves 90% |
Category winners
Cheapest input
Llama 4 Maverick 17b 128e Instruct
$0.20/M
· 84% less than the other
Cheapest output
Llama 4 Maverick 17b 128e Instruct
$0.60/M
· 94% less than the other
Larger context
Gemini 2.5 Pro
1049kk tokens · 700% larger window
More features
Gemini 2.5 Pro
5 / 5 capabilities
Better for…
High-volume RAG & repeated context
$0.13/M cached input — prompt caching makes repeated context retrieval significantly cheaper
Gemini 2.5 Pro
Short interactions & high-throughput APIs
$0.60/M output — 94% cheaper on output at scale
Llama 4 Maverick 17b 128e Instruct
Long-document processing & large codebases
1049k context window vs 131k — 700% larger context
Gemini 2.5 Pro
Agentic workflows & tool use
Supports 5 of 5 tracked capabilities (vision, function calling, caching, web search, JSON schema)
Gemini 2.5 Pro
Deep-dive on each model
Pricing data sourced from LiteLLM and refreshed regularly. Always verify with each provider's official pricing page before making business decisions.