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Mistral Large vs Qwen1.5-110B-Chat: Benchmarks, Pricing, and Context Window Comparison

Mistral Large vs Qwen1.5-110B-Chat 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

Qwen1.5-110B-Chat has lower listed token pricing, while Mistral Large can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Compare
Mistral Large
to
Qwen1.5-110B-Chat
Overview
Mistral Large was released 7 months after Qwen1.5-110B-Chat.
Mistral Large
Qwen1.5-110B-Chat
Provider
The entity that provides this model.
Mistral
Qwen
Input Context Window
The number of tokens supported by the input context window.
32K
tokens
6,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
4,096
tokens
2,000
tokens
Release Date
When the model was first released.
2024-02-26
2023-08-03
Leaderboard
Mistral Large
Qwen1.5-110B-Chat
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
Mistral Large
Qwen1.5-110B-Chat
Input
Cost of input data provided to the model.
$8.00
per million tokens
$6.375
per million tokens
Output
Cost of output tokens generated by the model.
$8.00
per million tokens
$2.125
per million tokens
Benchmarks
Compare relevant benchmarks between Mistral Large and Qwen1.5-110B-Chat Instruct.
Mistral Large
Qwen1.5-110B-Chat
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
81.2
(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.
89.2
(10-shot)
Benchmark not available.