LLM Comparison Tool
Mistral 7B Instruct vs Palmyra Fin 32k
Comparison of Large Language Model capabilities, costs, and benchmark performance between Mistral's Mistral 7B Instruct and Writer's Palmyra Fin 32k.
Mistral 7B Instruct is 95.0% less expensive than Palmyra Fin 32k
Mistral 7B Instruct was released on an unknown date relative to Palmyra Fin 32k
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
Mistral
Writer
Model Name
Name of the model.
Mistral 7B Instruct
Palmyra Fin 32k
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$0.25per million tokens
$5.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$0.25per million tokens
$12.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
32000Ktokens
Not available
Response Length
Maximum length of a single generated response.
8Ktokens
Not available
Initial Release
First public release date.
September 27, 2023
Not available
Training Data Cutoff
Latest date of data included in training.
Unknown
License Type
Model licensing and availability.
Open Source
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
60.1score
5-shotsource
Not available
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
Not available
Not available
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations.
Not available
Not available
Code Generation (HumanEval)
Ability to write and understand programming code.
Not available
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
Not available
Not available
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10+ AI Templates
Ready-to-use demos for text, image & chat
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Modern Tech Stack
Next.js 14, TypeScript & Tailwind
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AI Integrations
OpenAI, Anthropic & Replicate ready
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Full Infrastructure
Auth, database & payments included
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Professional Design
6+ landing pages & modern UI kit
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SEO optimized & ready to deploy
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Frequently asked questions
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