workhorse

Gpt 4.1 Mini 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 Gpt 4.1 Mini Llama 4 Maverick 17b 128e Instruct
Provider openai groq
Model ID gpt-4.1-mini groq/meta-llama/llama-4-maverick-17b-128e-instruct
Input / 1M tokens $0.40 $0.20 (50% cheaper)
Output / 1M tokens $1.60 $0.60 (63% cheaper)
Cached input / 1M $0.10
Context window 1048kk tokens 131kk tokens
Max output 33kk 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 Gpt 4.1 Mini Llama 4 Maverick 17b 128e Instruct Winner
Small
1M in / 0.2M out
$0.72 $0.32 Llama 4 Maverick 17b 128e Instruct saves 56%
Medium
10M in / 2M out
$7.20 $3.20 Llama 4 Maverick 17b 128e Instruct saves 56%
Large
100M in / 20M out
$72.00 $32.00 Llama 4 Maverick 17b 128e Instruct saves 56%

Category winners

Cheapest input
Llama 4 Maverick 17b 128e Instruct
$0.20/M · 50% less than the other
Cheapest output
Llama 4 Maverick 17b 128e Instruct
$0.60/M · 63% less than the other
Larger context
Gpt 4.1 Mini
1048kk tokens · 699% larger window
More features
Gpt 4.1 Mini
5 / 5 capabilities

Better for…

High-volume RAG & repeated context
$0.10/M cached input — prompt caching makes repeated context retrieval significantly cheaper
Gpt 4.1 Mini
Short interactions & high-throughput APIs
$0.60/M output — 63% cheaper on output at scale
Llama 4 Maverick 17b 128e Instruct
Long-document processing & large codebases
1048k context window vs 131k — 699% larger context
Gpt 4.1 Mini
Agentic workflows & tool use
Supports 5 of 5 tracked capabilities (vision, function calling, caching, web search, JSON schema)
Gpt 4.1 Mini

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.