DeepSeek V4.1 Flash Tops Open-Weight Models on Agentic Coding Index at 77.5
Informal-Trouble2183 · reddit · 2026-10-17
A Reddit post shares the AI-Leaderboard.dev Agentic Coding Index, a composite of 11 benchmarks including SWE-bench Pro, Terminal-Bench and Code Arena Elo. DeepSeek V4.1 Flash (1017) scores 77.5, the best among open-weight models, trailing only closed models like Claude Opus 5.5 (93.6), GPT-6 Astra (90.9) and Gemini 3 Argon (89.2). GLM-5.3 Max (69.4), Qwen3.6 Max 002 (66.1) and Kimi K3 (60.4) lead the rest of the open field. Missing benchmarks are imputed via correlation-weighted linear equating across 25 active models.
More from coding & agent
- Dev swaps codex remote and Claude remote control for T3 Code mobile — rudrank · 2026-10-17
- Perplexity Flash matches Wald's accuracy at nearly 2x speed in local agent-decision benchmark — WolframRvnwlf · 2026-10-17
- Celesto CI runs cache-hit jobs 23% faster than GitHub Actions on half the CPUs — aniketmaurya · 2026-10-17
- Jev vs tabular foundation models: zero-shot decision routing is not grounded prediction — Arindam_1729 · 2026-10-17
- BFL Updates FLUX 3 Image Klein Workflows: Prompt Upsampling and 2K Resolution Required — bfl_ai · 2026-10-17
- Claude can now reverse-engineer and rebuild apps like TradingView and OBS without source code — PrajwalTomar_ · 2026-10-17