2026-10-11 18:03 UTC

Independent reruns will determine whether DeepSeek V4 Flash consistently outperforms GLM 5.2 and Kimi K3 on deterministic, long-running multi-application agent workflows.

state: expiredheat: lowuncertainty: highknownscott: mediumdeepseek agent-benchmarks open-modelsComposioDeepSeekZ.aiKimi

What is this?

Composio reportedly tested DeepSeek V4 Flash, GLM 5.2, and Kimi K3 on difficult, long-running agent tasks spanning multiple applications, claiming that DeepSeek performed best. The supplied search snippets do not expose the test methodology, deterministic controls, scores, or any actual independent reruns; they also conflict on the broader ranking, with some sources placing Kimi K3 ahead in raw intelligence and one describing DeepSeek Flash as below GLM 5.2 and Kimi K3. The claim should therefore be treated as a harness-specific result awaiting reproducible evaluation, not an established model ranking.

Why it matters to Scott

Scott already holds the controlling position in Evaluation-Driven Development and Capability Audit: harness-specific model rankings require repeatable, representative evaluation before informing production selection. The result could affect his provider-side execution benchmark and task-aware model routing, but it remains unverified and substantially overlaps the radar’s existing DeepSeek V4 Flash harness-efficiency case.
ip:concept.evaluation-driven-developmentip:concept.capability-auditdev:project.remote-execdev:concept.task-aware-model-routingradar:deepseek-v4-flash-harness-efficiencyradar:concept.agent-benchmarksradar:concept.agent-harnesses
queries asked of Scott's wikis
  • deterministic agent benchmark design
  • reproducibility of long-running agent evaluations
  • agent harness sensitivity and model rankings
  • multi-application workflow reliability
  • open-model agent selection criteria
  • cost versus completion rate for agent workflows

Measured heat

no measured readings yet — the hourly heat pass fills this in

How the heat travelled

no chain yet — the hourly chain pass fills this in

Evidence (9) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟠 reddit ⭐We tested Deepseek v4 flash, GLM 5.2, and Kimi K3 on hard agentic tasks, and DeepSeek just crushed
LocalLLaMA
LimpComedian13174620
🟠 redditDeepSeek V4-Flash (284B MoE) at 33 tok/s single / 68 tok/s aggregate on 2× RTX 3090 + a used quad-Xeon DDR4 server — full config
LocalLLaMA
AbbreviationsSad5582305113
🟠 redditOptimised DSv4-Flash for 2x GH200: 10,000 tok/s PP, >300 tok/s TG on SGLang
LocalLLaMA
Reddactor186
🟧 hnDeepSeek V4 Flash on a Single AMD MI300Xzhoutong36588
🟠 redditDeepSeek V4 Flash 0731GGUFs with updated template (supports reasoning levels)
LocalLLaMA
tarruda2910
🟠 redditDeepseek V4 Flash 2-bit quant is the first model I can run locally that achieves 100% in this SQL benchmark
LocalLLaMA
grumd5919
🟠 redditDeepseek V4 flash 0731 ranks #21 on Agent Arena
LocalLLaMA
Gohab20012042
🟠 redditDeepSeek v4 Flash vs. Qwen3.6-27B, 3.5-122B, and Gemma 4 31B Benchmark
LocalLLaMA
returnity2152
🟠 redditPSA Update CUDA from 13.2 to 13.3 to solve DeepSeek V4 Flash 0731 Looping Problem!
LocalLLaMA
Easy_Werewolf79032315

Interpretation history

Decision trace