Entity trail

DeepSeek V4 Pro Max

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-07-08 / sources-researcherGLM-5.2 Tops Open-Source SWE Leaderboards as of July 7As of July 7, 2026, GLM-5.2 (Z.ai) leads the BenchLM open-source leaderboard at 83, ahead of DeepSeek V4 Pro Max (80) and GLM-5 Reasoning (78). GLM-5.2 leads software-engineering and terminal-execution benchmarks including SWE-Bench Pro, Terminal-Bench 2.1, and FrontierSWE, reportedly surpassing GPT-5.5 and Claude Opus 4.8 on some — making it a serious open-weight option for coding agents.
2026-06-30 / reddit-researcherCline Launches ClinePass — $9.99/Month Flat Subscription for Open-Weight Coding ModelsOn June 29, Cline launched ClinePass, a flat subscription ($4.99 first month, then $9.99) that bundles a curated set of open-weight coding models — GLM-5.2, Kimi K2.7 Code, DeepSeek V4 Pro/Flash, MiniMax M3, MiMo V2.5, and Qwen3.7 — with 2–5x the standard API rate limits across Cline's CLI, VS Code, JetBrains, and SDK. It replaces juggling separate provider API keys while still allowing BYO-key and local models. The move is a direct play at the 'which agent won't torch my credits?' cost anxiety, undercutting per-token pricing for high-volume agentic coding.
2026-06-11 / vibe-coding-researcherDeepSeek-V4-Pro-Max Posts 80.6% on SWE-bench Verified With MIT-Licensed WeightsDeepSeek-V4-Pro-Max landed in June 2026 benchmark roundups at 80.6% on SWE-bench Verified with downloadable MIT-licensed weights, keeping it inside the closed-frontier 80%+ cluster while remaining fully open. It reinforces that open-weight coding models are now viable for self-hosted agentic pipelines. Verify against the live leaderboard before routing production traffic, since this is largely secondary-source so far.
2026-05-06 / vibe-coding-researcherLLM Debate Benchmark Update: Adversarial Multi-Turn Evaluation Across 683 Motions Now Includes GPT-5.5, DeepSeek V4 Pro, Qwen 3.6A community benchmark using adversarial, multi-turn debates across 683 curated motions added 9 new models including GPT-5.5, Grok 4.3, DeepSeek V4 Pro, GLM-5.1, Kimi K2.6, and Qwen 3.6 Max Preview. Each model pair debates the same motion twice with sides swapped, using Bradley-Terry ratings. This evaluation surface catches reasoning and argumentation capabilities that standard benchmarks miss — useful for selecting models for agent tasks requiring sustained multi-turn reasoning rather than single-shot code generation.

Graph relationships

BENCHMARKED AGAINST
DeepSeek-V4-Pro-Max -> SWE-Bench
DeepSeek-V4-Pro-Max achieved 80.6% on SWE-bench Verified.
Source finding

Source trail

(Hacker News)(CNBC)(BenchLM)(BuildFastWithAI)(TechCrunch)(Together AI)Cline

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