Model Comparison

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

Mistral AI

Mistral Large 2

Mistral AI

Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Alibaba

QwQ-32B-Preview

Alibaba

QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Mistral AI

Mistral Large 2

Mistral AI

2024-07-24

Alibaba

QwQ-32B-Preview

Alibaba

2024-11-28

4 months newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Mistral Large 2

Input:$2.00
Output:$6.00
Alibaba

QwQ-32B-Preview

$7.65 cheaper
Input:$0.15
Output:$0.20

Performance Metrics

Context window and performance specifications

Mistral AI

Mistral Large 2

Larger context
Max Context:256.0K
Parameters:123.0B
Alibaba

QwQ-32B-Preview

Max Context:65.5K
Parameters:32.5B

Performance comparison across key benchmark categories

Mistral AI

Mistral Large 2

math
+2.4%
93.0%
code
+42.0%
92.0%
general
+25.8%
83.4%
Alibaba

QwQ-32B-Preview

math
90.6%
code
50.0%
general
57.6%
Knowledge Cutoff
Training data recency comparison

QwQ-32B-Preview

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Mistral Large 2

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Alibaba

QwQ-32B-Preview

4 providers

Together

Throughput: 62.14 tok/s
Latency: 0.74ms

Hyperbolic

Throughput: 31.9 tok/s
Latency: 1.05ms

DeepInfra

Throughput: 76.04 tok/s
Latency: 0.44ms

Fireworks

Throughput: 99.15 tok/s
Latency: 0.53ms
Mistral AI

Mistral Large 2

Avg Score:0.0%
Providers:2
Alibaba

QwQ-32B-Preview

Avg Score:0.0%
Providers:4