+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-3.5 Turbo vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Pixtral-12B leads with 23.8% higher average benchmark score. Pixtral-12B offers 115.7K more tokens in context window than GPT-3.5 Turbo. Pixtral-12B is $1.70 cheaper per million tokens. Pixtral-12B supports multimodal inputs. Overall, Pixtral-12B is the stronger choice for coding tasks.
+
+
+
+
OpenAI
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
+
+
+
+
Mistral AI
Pixtral 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Pixtral-12B
Mistral AI
2024-09-17
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GPT-3.5 Turbo
Input:$0.50
Output:$1.50
+
+
+
+
Pixtral-12B
Input:$0.15
Output:$0.15($1.70 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
+
+
+
+
GPT-3.5 Turbo
Average Score:36.2%
+
+
+
+
Pixtral-12B
Average Score:60.0%(+23.8%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GPT-3.5 Turbo
2 providers
Azure
Throughput: 90 tok/s
Latency: 0.8ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
+
+
+
+
+
+
+
+
GPT-3.5 Turbo
Avg Score:36.2%
Providers:2
+
+
+
+
Pixtral-12B
Avg Score:60.0%(+23.8%)
Providers:1