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Notes on open-source AI, model launches, and the tools we build at ChatOSS.

October 29, 202611 min read

MiniMax M3.1 Flash may be the best open-source orchestrator agent right now

AutomationBench is the closest public test of orchestration, and MiniMax M3.1 Flash wins it on both the independent run (73% vs 67%) and the vendors' table (62.8 vs 60.5). It also leads HLE in Artificial Analysis's run, 48% to 43% — but DeepSeek V4.1 Flash 1017 still owns coding, cache-heavy bills and the MIT licence. The honest case, including the numbers that cut against it.

MiniMax M3.1 FlashDeepSeek V4.1 Flash 1017Orchestrator AgentsAutomationBenchBenchmarksOpen Weight
October 27, 202610 min read

MiniMax M3.1 Flash vs. DeepSeek V4.1 Flash 1017: cheaper tokens, higher bill

Both list at $0.15/$0.60 per million tokens, and MiniMax wins the business-workflow benchmarks. But on vals.ai's Vibe Code Bench v1.1, DeepSeek's October 17 checkpoint scores 87.73% at $0.58 per test while M3.1 Flash scores 73.94% at $1.15 — because the cheaper token burns 66.86M of them per task. Here is the independent evidence and the cache-aware math.

MiniMax M3.1 FlashDeepSeek V4.1 Flash 1017Agentic CodingBenchmarksCost per TaskOpen Weight
September 21, 202611 min read

GLM 5.3 Flash vs. DeepSeek V4.1 Flash: which is better at agentic coding?

Both labs ship a million-token context, MIT weights, and a ~$0.15-per-million price tag. On the independent harnesses that have actually run both models — vals.ai's Vibe Code Bench and Terminal-Bench 2.1, BenchLM's Vibe Code Bench 1-100, and Artificial Analysis' v4.3 index — DeepSeek V4.1 Flash wins agentic coding, and by a wider margin than either vendor's own table suggests.

GLM 5.3 FlashDeepSeek V4.1 FlashAgentic CodingBenchmarksCost per TaskOpen Weight
September 10, 20269 min read

DeepSeek V4.1 Flash: Opus 5-tier agentic coding at 1/33 the price

DeepSeek's new ~748B-parameter Flash model (552B backbone + 196B Engram memory) retires V4 Pro, ships native vision, and — on DeepSeek's own max-effort numbers — edges Claude Opus 5 and GPT-5.6 Sol on Terminal-Bench 2.1 and DeepSWE v1.1 while costing $0.15/$0.60 per million tokens. Full benchmark table, pricing math, and where the closed frontier still wins.

DeepSeek V4.1 FlashClaude Opus 5GPT-5.6 SolBenchmarksOpen Weight