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Gpt-3.5-turbo vs Qwen-Turbo: Benchmarks, Pricing, and Context Window Comparison

Gpt-3.5-turbo vs Qwen-Turbo 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

Qwen-Turbo has lower listed token pricing, while Gpt-3.5-turbo can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
Gpt-3.5-turbo
to
Qwen-Turbo
Overview
Gpt-3.5-turbo was released 23 months before Qwen-Turbo.
Gpt-3.5-turbo
Qwen-Turbo
Provider
The entity that provides this model.
OpenAI
Qwen
Input Context Window
The number of tokens supported by the input context window.
4096
tokens
1,000,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
4096
tokens
8,192
tokens
Release Date
When the model was first released.
2022-11-28
2024-11-01
Leaderboard
Gpt-3.5-turbo
Qwen-Turbo
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-3.5-turbo
Qwen-Turbo
Input
Cost of input data provided to the model.
$0.50
per million tokens
$0.05
per million tokens
Output
Cost of output tokens generated by the model.
$1.50
per million tokens
$0.20
per million tokens
Benchmarks
Compare relevant benchmarks between Gpt-3.5-turbo and Qwen-Turbo Instruct.
Gpt-3.5-turbo
Qwen-Turbo
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
70.0
(5-shot)
Source
Benchmark not available.
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
85.5
(10-shot)
Source
Benchmark not available.

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