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GPT-4.1 Mini vs Qwen2-72B-Instruct: Benchmarks, Pricing, and Context Window Comparison

GPT-4.1 Mini vs Qwen2-72B-Instruct compares provider, context window, token pricing, benchmark performance, and release timeline in one side-by-side view. Use this page to quickly identify which model is a better fit for your production constraints, quality targets, and estimated cost per request.

Verdict

Qwen2-72B-Instruct has lower listed token pricing, while GPT-4.1 Mini can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
GPT-4.1 Mini
to
Qwen2-72B-Instruct
Overview
GPT-4.1 Mini was released 9 months after Qwen2-72B-Instruct.
GPT-4.1 Mini
Qwen2-72B-Instruct
Provider
The entity that provides this model.
OpenAI
Qwen
Input Context Window
The number of tokens supported by the input context window.
1M
tokens
128,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
32K
tokens
6,144
tokens
Release Date
When the model was first released.
2025-04-14
2024-07-23
Leaderboard
GPT-4.1 Mini
Qwen2-72B-Instruct
Rank
Unknown
Unknown
Arena Elo
Not specified.
Not specified.
95% CI
Not specified.
Not specified.
Votes
Not specified.
Not specified.
License
Not specified.
Not specified.
Knowledge Cutoff
Unknown
Unknown
Pricing
GPT-4.1 Mini
Qwen2-72B-Instruct
Input
Cost of input data provided to the model.
$0.40
per million tokens
$0.90
per million tokens
Output
Cost of output tokens generated by the model.
$1.60
per million tokens
$0.90
per million tokens
Benchmarks
Compare relevant benchmarks between GPT-4.1 Mini and Qwen2-72B-Instruct Instruct.
GPT-4.1 Mini
Qwen2-72B-Instruct
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
87.5
(5-shot)
Source
Benchmark not available.
MMMU
A wide ranging multi-discipline and multimodal benchmark.
72.7
Source
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.

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