open-source

Llama 4 Scout 17b 16e Instruct vs Gemini 2.5 Flash

Side-by-side pricing, context window, features, and per-use-case verdict. Data sourced from LiteLLM, updated regularly.

Specifications

Feature Llama 4 Scout 17b 16e Instruct Gemini 2.5 Flash
Provider groq vertex ai-language-models
Model ID groq/meta-llama/llama-4-scout-17b-16e-instruct gemini-2.5-flash
Input / 1M tokens $0.11 (63% cheaper) $0.30
Output / 1M tokens $0.34 (86% cheaper) $2.50
Cached input / 1M $0.03
Context window 131kk tokens 1049kk tokens
Max output 8kk tokens 66kk 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 Llama 4 Scout 17b 16e Instruct Gemini 2.5 Flash Winner
Small
1M in / 0.2M out
$0.18 $0.80 Llama 4 Scout 17b 16e Instruct saves 78%
Medium
10M in / 2M out
$1.78 $8.00 Llama 4 Scout 17b 16e Instruct saves 78%
Large
100M in / 20M out
$17.80 $80.00 Llama 4 Scout 17b 16e Instruct saves 78%

Category winners

Cheapest input
Llama 4 Scout 17b 16e Instruct
$0.11/M · 63% less than the other
Cheapest output
Llama 4 Scout 17b 16e Instruct
$0.34/M · 86% less than the other
Larger context
Gemini 2.5 Flash
1049kk tokens · 700% larger window
More features
Gemini 2.5 Flash
5 / 5 capabilities

Better for…

High-volume RAG & repeated context
$0.03/M cached input — prompt caching makes repeated context retrieval significantly cheaper
Gemini 2.5 Flash
Short interactions & high-throughput APIs
$0.34/M output — 86% cheaper on output at scale
Llama 4 Scout 17b 16e Instruct
Long-document processing & large codebases
1049k context window vs 131k — 700% larger context
Gemini 2.5 Flash
Agentic workflows & tool use
Supports 5 of 5 tracked capabilities (vision, function calling, caching, web search, JSON schema)
Gemini 2.5 Flash

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.