Gpt-3.5-turbo vs Qwen2-72B-Instruct: Benchmarks, Pricing, and Context Window Comparison
Gpt-3.5-turbo 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-3.5-turbo can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
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Overview
Gpt-3.5-turbo was released 19 months before Qwen2-72B-Instruct.
Gpt-3.5-turbo | ||
|---|---|---|
Provider The entity that provides this model. | OpenAI | |
Input Context Window The number of tokens supported by the input context window. | 4096 tokens | 128,000 tokens |
Maximum Output Tokens The number of tokens that can be generated by the model in a single request. | 4096 tokens | 6,144 tokens |
Release Date When the model was first released. | Nov 28, 2022 over 1 yearago 2022-11-28 | Jul 23, 2024 over 1 year 2024-07-23 |
Leaderboard
Gpt-3.5-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 | ||
|---|---|---|
Input Cost of input data provided to the model. | $0.50 per million tokens | $0.90 per million tokens |
Output Cost of output tokens generated by the model. | $1.50 per million tokens | $0.90 per million tokens |
Benchmarks
Compare relevant benchmarks between Gpt-3.5-turbo and Qwen2-72B-Instruct Instruct.
Gpt-3.5-turbo | ||
|---|---|---|
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | 70.0 (5-shot) | 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) | Benchmark not available. |

Gpt-3.5-turbo