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GPT-4o mini vs Qwen3-235B-A22: Benchmarks, Pricing, and Context Window Comparison

GPT-4o mini vs Qwen3-235B-A22 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

Qwen3-235B-A22 has lower listed token pricing, while GPT-4o mini can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
GPT-4o mini
to
Qwen3-235B-A22
Overview
GPT-4o mini was released 9 months before Qwen3-235B-A22.
GPT-4o mini
Qwen3-235B-A22
Provider
The entity that provides this model.
OpenAI
Qwen
Input Context Window
The number of tokens supported by the input context window.
128000
tokens
128K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
16,384
tokens
128k
tokens
Release Date
When the model was first released.
2024-07-18
2025-04-29
Leaderboard
GPT-4o mini
Qwen3-235B-A22
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-4o mini
Qwen3-235B-A22
Input
Cost of input data provided to the model.
$0.15
per million tokens
$0.10
per million tokens
Output
Cost of output tokens generated by the model.
$0.60
per million tokens
$0.10
per million tokens
Benchmarks
Compare relevant benchmarks between GPT-4o mini and Qwen3-235B-A22 Instruct.
GPT-4o mini
Qwen3-235B-A22
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
82
(5-shot)
Source
Benchmark not available.
MMMU
A wide ranging multi-discipline and multimodal benchmark.
59.4
Source
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.

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Mirai Minds