Qwen1.5-110B-Chat vs Qwen2-72B-Instruct: Benchmarks, Pricing, and Context Window Comparison
Qwen1.5-110B-Chat 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 Qwen1.5-110B-Chat can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
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Overview
Qwen1.5-110B-Chat was released 11 months before Qwen2-72B-Instruct.
Provider The entity that provides this model. | ||
Input Context Window The number of tokens supported by the input context window. | 6,000 tokens | 128,000 tokens |
Maximum Output Tokens The number of tokens that can be generated by the model in a single request. | 2,000 tokens | 6,144 tokens |
Release Date When the model was first released. | Aug 03, 2023 over 1 yearago 2023-08-03 | Jul 23, 2024 over 1 year 2024-07-23 |
Leaderboard
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
Input Cost of input data provided to the model. | $6.375 per million tokens | $0.90 per million tokens |
Output Cost of output tokens generated by the model. | $2.125 per million tokens | $0.90 per million tokens |
Benchmarks
Compare relevant benchmarks between Qwen1.5-110B-Chat and Qwen2-72B-Instruct Instruct.
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | Benchmark not available. | Benchmark not available. |
MMMU A wide ranging multi-discipline and multimodal benchmark. | Benchmark not available. | Benchmark not available. |
HellaSwag A challenging sentence completion benchmark. | Benchmark not available. | Benchmark not available. |
