{"slug": "0-26-deepseek-v4-flash-0731-ties-5-01-gpt-5-6-run-on-agentic-memory-benchmark", "title": "$0.26 DeepSeek V4 Flash 0731 ties $5.01 GPT-5.6 run on Agentic Memory Benchmark", "summary": "DeepSeek's V4 Flash 0731 model, priced at $0.26, achieved a score equal to OpenAI's GPT-5.6, which costs $5.01, on the Agentic Memory Benchmark, according to the leaderboard maintained by ATM Bench. The result highlights a significant cost-performance advantage for DeepSeek's model in agentic memory tasks.", "body_md": "### Send a Pull Request\n\nFastest path: open a PR adding a row to the `TRACKS`\n\narray at the bottom of\n`leaderboard.html`\n\n. Include a short description of the setup and a link to your run logs\nor code in the PR body.\n\n[Edit leaderboard.html on GitHub](https://github.com/atmbench/atmbench.github.io/edit/main/leaderboard.html)", "url": "https://wpnews.pro/news/0-26-deepseek-v4-flash-0731-ties-5-01-gpt-5-6-run-on-agentic-memory-benchmark", "canonical_source": "https://atmbench.github.io/leaderboard.html", "published_at": "2026-07-31 19:36:25+00:00", "updated_at": "2026-07-31 19:52:27.137047+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-products"], "entities": ["DeepSeek", "OpenAI", "GPT-5.6", "V4 Flash 0731", "Agentic Memory Benchmark", "ATM Bench"], "alternates": {"html": "https://wpnews.pro/news/0-26-deepseek-v4-flash-0731-ties-5-01-gpt-5-6-run-on-agentic-memory-benchmark", "markdown": "https://wpnews.pro/news/0-26-deepseek-v4-flash-0731-ties-5-01-gpt-5-6-run-on-agentic-memory-benchmark.md", "text": "https://wpnews.pro/news/0-26-deepseek-v4-flash-0731-ties-5-01-gpt-5-6-run-on-agentic-memory-benchmark.txt", "jsonld": "https://wpnews.pro/news/0-26-deepseek-v4-flash-0731-ties-5-01-gpt-5-6-run-on-agentic-memory-benchmark.jsonld"}}