Critic: DeepSeek Flash 1107 beats MiniMax M3.1 Flash, but MiniMax is benchmaxxed and unfocused
cedric_chee · x · 2026-10-19
Blogger cedricchee argues DeepSeek Flash 1107 outperforms MiniMax M3.1 Flash and lists six grievances with MiniMax's release: selectively chosen benchmark charts that flatter MiniMax, long-running benchmaxxing (echoing r/LocalLLaMA), neglect of the M series while spreading thin across video/audio/multimodal, no clear timeline for M3 Pro since July speculation (scaling 200B+ to 2.7T params is hard), poor release transparency, and overclaimed 200T+ training tokens that say little about quality.
More from Models
- Chris Potts critiques auto-interp evaluation: precision, recall, and the case for ex ante testing — ChrisGPotts · 2026-10-19
- DeepSeek V4.1 Flash writes CUDA kernels, tops KernelBench decode at 8.12% roofline — scaling01 · 2026-10-19
- Gemini 4 Scores Just 78% on Saturated FrontierMath Tier 4, Well Behind OpenAI's Models — haider1 · 2026-10-19
- OpenRouter Data Shows US Model Token Use Flat for 8 Weeks as Chinese Providers Hit 79.2T Weekly — SumitGup · 2026-10-19
- Anthropic reportedly tests its next model under Claude Opus 5.5, users spot big quality jumps — testingcatalog · 2026-10-19
- Fish Audio open-sources 35.9B MoE TTS Drama 3, tops leaderboard while decoding faster than its 4.6B predecessor — kastnerkyle · 2026-10-19