Model Releases

For dual DGX spark users; GLM 5.3 flash got a 50%+ performance boost

For the last few months, I ran DeepSeek v4.0 flash (NVFP4). First 0731, then visionexp because it was a free improvement. I got around 65 tps decode and almost 2k prefill, and ran 4-5 agents in parall

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For the last few months, I ran DeepSeek v4.0 flash (NVFP4). First 0731, then visionexp because it was a free improvement. I got around 65 tps decode and almost 2k prefill, and ran 4-5 agents in parallel, totalling around 200 tps cumulative decode. Because of this, I did not feel like switching to GLM 5.3 because it would half the decode and prefill, did not scale well with multiple agents, and had a repetition bug a lot of people complained about. Until a few days ago, when the latest version of this recipe dropped; a 50-90% decode improvement. So I took the plunge, and wow, am I impressed. It's more intelligent than the new DeepSeek v4.1 flash (that does NOT run on dual DGX Sparks), and it's even faster than DeepSeek v4.0 flash in decode. Only a slight drop in prefill, which I'm more than happy to take in exchange; Test visionexp-final (recorded) glm53-low Δ B1 count-to-300 92.5 95.9 +4% B1 bulk SQL INSERT 88.3 97.2 +10% B2 chat 38.7 42.5 +10% B2 count 92.8 96.0 +3% B2 code 63.5 69.3 +9% B2 prose 32.8 37.1 +13% B2 tool 79.8 85.1 +7% B2 battery mean 61.5 66.0 +7% B2 accepted tok/step 3.26 of 6 (54%) 3.55 of 8 (44%) see note B3 prefill @1.5K 1738 1376 -21% B4 prefill @32K 1902 1576 -17% B4 prefill @128K 1758 1578 -10% B4 decode @32K 41.1 44.2 +7% B4 decode @128K 49.5 47.1 -5% B5 c1 aggregate 91.7 90.1 -2% B5 c2 aggregate 45.4 51.4 +13% B5 c4 aggregate 63.4 58.6 -7% B5 c6 aggregate 79.1 77.5 -2% B7 soak (40 min at c4) 522 req, 0 err, 87.4 agg 503 req, 0 err, 0 soft-empty, 83.6 agg −4% B8 byte-stable probes 8/8 6/8 worse B8 garble gate 30/30 clean 30/30 clean = B8 non-Latin / U+FFFD not measured 3/3 clean, 0 U+FFFD new gate KV pool 1,988,929 tok @ gmu 0.85 560,362 tok (6 GiB/rank pin) −72% NRestarts through the pass 0 0 = I've tested it for a few days now, both for technical coding, devops/sysadmin and also vision (to recognize some plants), and it is better than I hoped for. Basically Claude Opus 4.8 level. Slower of course because it has to think a lot more, but good enough to comfortably leave it chugging for hours on tickets without worry of derailing. I don't see a reason NOT to upgrade, so have a try and enjoy! submitted by /u/swiebertjee [link] [comments]

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Source: r/LocalLLaMA | 2026-10-04

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