open-source

Llama 4 Maverick 17b 128e Instruct vs Gpt 4.1

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

Specifications

Feature Llama 4 Maverick 17b 128e Instruct Gpt 4.1
Provider groq openai
Model ID groq/meta-llama/llama-4-maverick-17b-128e-instruct gpt-4.1
Input / 1M tokens $0.20 (90% cheaper) $2.00
Output / 1M tokens $0.60 (93% cheaper) $8.00
Cached input / 1M $0.50
Context window 131kk tokens 1048kk tokens
Max output 8kk tokens 33kk 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 Maverick 17b 128e Instruct Gpt 4.1 Winner
Small
1M in / 0.2M out
$0.32 $3.60 Llama 4 Maverick 17b 128e Instruct saves 91%
Medium
10M in / 2M out
$3.20 $36.00 Llama 4 Maverick 17b 128e Instruct saves 91%
Large
100M in / 20M out
$32.00 $360 Llama 4 Maverick 17b 128e Instruct saves 91%

Category winners

Cheapest input
Llama 4 Maverick 17b 128e Instruct
$0.20/M · 90% less than the other
Cheapest output
Llama 4 Maverick 17b 128e Instruct
$0.60/M · 93% less than the other
Larger context
Gpt 4.1
1048kk tokens · 699% larger window
More features
Gpt 4.1
5 / 5 capabilities

Better for…

High-volume RAG & repeated context
$0.50/M cached input — prompt caching makes repeated context retrieval significantly cheaper
Gpt 4.1
Short interactions & high-throughput APIs
$0.60/M output — 93% 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
Agentic workflows & tool use
Supports 5 of 5 tracked capabilities (vision, function calling, caching, web search, JSON schema)
Gpt 4.1

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.