Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Mistral NeMo Instruct

Mistral AI

Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). The model shows particular specialization in reasoning tasks with an average performance of 80.2%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base is a language model developed by Alibaba Cloud / Qwen Team. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Mistral NeMo Instruct

Mistral AI

2024-07-18

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

2025-09-10

1 year newer

Performance Metrics

Context window and performance specifications

Mistral NeMo Instruct

Larger context

Max Context:256.0K

Parameters:12.0B

Qwen3-Next-80B-A3B-Base

Max Context:-

Parameters:80.0B

Average performance across 8 common benchmarks

Mistral NeMo Instruct

+64.3%

Average Score:64.3%

Qwen3-Next-80B-A3B-Base

Average Score:0.0%

Provider Availability & Performance

Available providers and their performance metrics

Mistral NeMo Instruct

2 providers

Google

Throughput: 42 tok/s

Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s

Latency: 0.5ms

Qwen3-Next-80B-A3B-Base

0 providers

Mistral NeMo Instruct

+64.3%

Avg Score:64.3%

Providers:2

Qwen3-Next-80B-A3B-Base

Avg Score:0.0%

Providers:0