DeepSeek V4.1 Flash 1017 vs Opus 5: DeepSWE 77.0 vs 74.0, behind on Terminal-Bench
Benchmark comparison of V4.1 Flash 1017 against Opus 5: DeepSWE 77.0 vs 74.0 and Automation-Bench 60.5 vs 50.3, while Terminal-Bench 4.0 and HLE still trail; also lists 1M context, image input, MIT weights and API pricing.
You don't always need an expensive AI model for coding. DeepSeek V4.1 Flash 1017 just posted some impressive benchmark numbers against Opus 5. • DeepSWE: 77.0 vs 74.0 • Automation-Bench: 60.5 vs 50.3 • 1M context window • Image input support • MIT license Opus 5 still leads on Terminal-Bench 4.0 and HLE reasoning, so it's not a clean sweep. But an open-weight model with low API costs putting up these numbers is worth watching. Try it free:http://chat.deepseek.com Open weights: http://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash API pricing: $0.15 input / $0.60 output per 1M tokens. Free access to the older V4.1 Flash: https://build.nvidia.com/ https://opencode.ai/ Open-source AI keeps getting more competitive.