{
  "id": 9079009,
  "title": "GLM-5.3-Flash vs Qwen3.8-Flash-Next vs DeepSeek V4 Flash",
  "url": "https://urgent.news/2026/09/22/glm-5-3-flash-vs-qwen3-8-flash-next-vs-deepseek-v4-flash",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-22T03:44:08.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/shaam_ai/glm-53-flash-vs-qwen38-flash-next-vs-deepseek-v4-flash-56fe"
  },
  "original_language": "en",
  "account": "The comparison of GLM-5.3-Flash, Qwen3.8-Flash-Next, and DeepSeek V4 Flash reveals that the best open-source LLM for coding in September 2026 depends on the specific constraints of the task at hand. GLM-5.3-Flash from Z.ai leads in agentic coding tasks, displaying the strongest performance on Multi-step tasks and terminal command execution. Qwen3.8-Flash-Next is the preferable choice when context length and multilingual code are prioritized over terminal interaction. DeepSeek V4 Flash wins on price, offering the lowest cost per token for high-volume work, although its coding scores are less dominant. MiniCPM5-2B is notable for on-device deployment, providing strong performance in coding benchmarks within a smaller model footprint. Ultimately, the optimal selection should be guided by the specific constraints and requirements of the coding task, rather than relying solely on leaderboard positions.",
  "summary": "Verdict: GLM-5.3-Flash wins for agentic coding, DeepSeek V4 Flash wins on price, and MiniCPM5-2B wins on-device. The best open-source LLM for coding in September 2026 depends on where the work runs, and the split is now clean. GLM-5.3-Flash wins agentic coding, where the model has to drive a terminal and finish a multi-step task. DeepSeek V4 Flash wins on cost per token for high-volume work. And…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}