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Corpus v3 · 99 agentic cases · updated 15 Oct 2026

Where the household models stand

Every model we have put through our own agent benchmark, ranked by its best score. Green bars are models we can run at home; blue bars are cloud only. A small picture over a bar shows the machine we ran it on.

Bar chart of corpus v3 scores out of 99, highest first. Gemini 4 Argon 83, GLM 5.3 82, Muse Wonder 80, then GLM 5.3 Flash on our DGX Sparks at 79, level with GPT-6.1 Sol, Kimi K3 and Qwen3.8 Max Prime. Local models are green, cloud models blue.

What we test. Corpus v3 is 99 test cases drawn from the real work our household agents do every day. Each case gives a model a system prompt, a set of tools and a task, and a deterministic harness drives the session and grades what the model actually did: the tool calls it made, the files it wrote and the answer it gave, never its own description of the work. The cases cover exact tool-call formatting and knowing when not to call a tool; copying values exactly when decoys are nearby; calendar and mail chores; coordinating with other agents without inventing work or obeying second-hand authority; systems maintenance, where you diagnose before you edit and verify before you claim success; applying business rules from our ad-sales app to messy data; building a small web page; long multi-step sessions; picking up correctly after the conversation has been compressed; code and skills; and finding one planted instruction in 50,000 to 200,000 tokens of context.

Every model runs on the same harness at the same settings (low reasoning effort). We publish each model’s best run; one or two cases either way is noise. A separate 24-case security suite tests secret handling, prompt injection and fake authority, and we read it beside the corpus score, because a model we cannot trust is out however clever it is.

Best local model

GLM 5.3 Flash on the Sparks: 79

Our everyday model ties for fourth, level with GPT-6.1 Sol and four points behind the top of the board, ahead of Claude Opus 5.5 (78) and GPT-6 Astra (77) on this corpus.

The top is a cluster

77 to 83 is one band

Ten models land between 77 and 83. At that height the corpus total alone cannot rank them; reliability and the security suite do more of the separating.

With a Mac Studio

Local could reach 82

The full GLM 5.3 (753B) would fit a 512 GB M5 Ultra Mac Studio at 4-bit. That would bring the best model we can run at home to within one point of the top.

The full ranking

Best corpus score of 99, the number of runs behind it, and the 24-case security score where we have it.

#ModelBest /99RunsSecurity /24Speed tok/s
code / prose
Runs on
1Gemini 4 Argon (low)83121—Cloud only
2GLM 5.3 (full)82218—Mac Studio (not owned yet)
3Muse Wonder80117—Cloud only
4GLM 5.3 Flash EXL3 (Sparks, pinned)7951675 / 43DGX Sparks
5GPT-6.1 Sol79120—Cloud only
6Kimi K379119—Cloud only
7Qwen3.8 Max Prime79116—Cloud only
8GLM 5.3 Flash FP4 (NVIDIA Flare, Sparks)7831836 / 31DGX Sparks
9Muse Spark Open78219—Mac Studio (not owned yet)
10Claude Opus 5.5 (low)78119—Cloud only
11GLM 5.3 Flash EXLR8 K4 (Sparks)7721772 / 39DGX Sparks
12GPT-6 Astra77119—Cloud only
13GLM 5.3 Flash NVFP4 QAD (Sparks)75216—DGX Sparks
14Ling 3.1 Flash74214—Mac Studio (not owned yet)
15Qwen3.8 Flash-Next NVFP4 QAD (Sparks)7425/12 (half suite)—DGX Sparks
16Qwen3.8 27B73120—Fits our hardware (tested in the cloud)
17GLM 5.3 Flash (Z.ai)72219—Fits our hardware (tested in the cloud)
18MissingNo (Nous stealth)72211—Cloud only
19Qwen3.8 Flash-Next IQ3_S (Mojo, pinned)71217—RTX 3090 workstation
20StepFun Step 5 Preview70216—Mac Studio (not owned yet)
21Nemotron 3 Ultra6819—Mac Studio (not owned yet)
22Nemotron 3.5 Super VL68213—Fits our hardware (tested in the cloud)
23Qwen3.6-35B-A3B Splash (Mac mini, pinned)68215—Mac mini
24DeepSeek V4.1 Flash 101767213—Mac Studio (not owned yet)
25MiniCPM-V 4.7 35B-A3B mix_q367112—Framework Desktop
26DeepSeek V4.1 Flash64116—Fits our hardware (tested in the cloud)
27Qwen3.8 Flash-Next on Atlas (SparkQwen)64214—DGX Sparks
28DeepSeek V4.1 Flash 1017 (Allyn's BB8, full precision)62317462 / 238Cloud only
29Nemotron 3 Super5616—Fits our hardware (tested in the cloud)
30Recursive Flint Q4_1 (Mojo, llama.cpp)553875 / 74RTX 3090 workstation
31LFM2.5 24B-A2B Q84525—Framework Desktop
32Naive N0.5 Flash (Sparks)322——DGX Sparks

Green squares mark models we can run on our own hardware; blue squares are cloud only. “Mac Studio” means the open weights would fit a 512 GB M5 Ultra Mac Studio, which we do not own yet.