+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Devstral-2-123B vs GPT-5.2
Comprehensive side-by-side LLM comparison
GPT-5.2 leads with 13.5% higher average benchmark score. GPT-5.2 supports multimodal inputs. Overall, GPT-5.2 is the stronger choice for coding tasks.
+
+
+
+
Mistral AI
Devstral 2, released by Mistral AI on December 9, 2025, is a 123 billion parameter dense transformer model specifically designed for software engineering tasks. It features a 256K token context window and achieved 72.2% on SWE-bench Verified at release, making it a competitive open-weight option for automated coding and agentic development. Devstral 2 targets code generation, multi-file software engineering, and agentic development workflows under a modified MIT license.
+
+
+
+
OpenAI
GPT-5.2, released by OpenAI on December 11, 2025, is a large language model from the GPT-5 family that improves on GPT-5 in general intelligence, long-context understanding, agentic tool-calling, and vision. It features a 400K token context window, 128K maximum output tokens, and a knowledge cutoff of August 2025. GPT-5.2 targets long-context coding tasks, extended document analysis, and complex agentic workflows requiring reliable instruction following.
2 days newer
Devstral-2-123B
Mistral AI
2025-12-09
GPT-5.2
OpenAI
2025-12-11
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
Devstral-2-123B
Average Score:37.5%
+
+
+
+
GPT-5.2
Average Score:51.0%(+13.5%)
Performance comparison across key benchmark categories
+
+
+
+
Devstral-2-123B
Coding37.5%
+
+
+
+
GPT-5.2
Coding51.0%(+13.5%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-5.2
2025-08
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Devstral-2-123B
1 providers
OpenRouter
+
+
+
+
GPT-5.2
0 providers
+
+
+
+
Devstral-2-123B
Avg Score:37.5%
Providers:1
+
+
+
+
GPT-5.2
Avg Score:51.0%(+13.5%)
Providers:0