Coding benchmarks
Metrics and frameworks used to evaluate the proficiency of large-language-models in software engineering tasks, including code generation, debugging, and repository-level problem-solving.
Key Benchmarks
- swe-bench-verified: A benchmark focused on evaluating models on real-world software engineering issues.
- Recent Performance: gemini-3-flash achieved a score of 78%, outperforming both gemini-3-pro and Claude Sonnet 4.5.
- mistral-3-large: A 675B parameter MoE model (Apache 2.0) used for competitive benchmarking against deepseek-v3 and kimi-k2.
Sources
- 2026 04 14 Mathew Berman Gemini Flash 3 and Nvidia Nematron 3
- 2026 04 14 Mistral latest model
Source Notes
- 2026-04-14: # Mathew Berman - Gemini Flash 3 and Nvidia Nematron 3 --- --- https://www.youtube.com/watch?v=YzpHiVNE7Bw Here is a summary of the video transcript formatted in Markdown: # AI News Summary Gemini 3 Flash Released Google has launched Gemini 3 Flash, a model focused (Mathew Berman - Gemini Flash 3 and Nvidia Nematron 3)
- 2026-04-14: # Qwen 3 Coder explained --- --- https://www.youtube.com/watch?v=eUUalcdNOho This video discusses the advancements in large language models, particularly focusing on Qwen 3 Coder and how its development signifies a shift in the industry’s approach to AI model improvement. (Qwen 3 Coder explained)