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N1M19 (test_1018) — memory × tool sweep over 8 vision-language models
Full trajectories of vision-language-model agents on N1M19, an embodied search task in AI2-THOR. Each instance gives the agent 7 requirements and a pool of 20 ProcTHOR houses; exactly one house (the golden one) meets all 7. The agent walks through the houses — it sees a first-person camera view and a minimap every step — and has to submit the golden house. Random choice scores 1 in 20.
All 8 models are complete.
Sweep
- Instances: 50 — 25 per track. Explicit requirements state the property ("The home must have exactly 3 bedrooms."); implicit ones describe a need it implies ("I need a separate space for me and one for overnight guests."). Each instance has three tiers by how close the 19 distractor houses come: easy (each meets 0–1 of the 7 requirements), medium (2–3), hard (4–5). So every agent config runs 2 tracks × 3 tiers × 25 instances = 150 sessions.
- Agent configs (12) = memory × tools:
- memory — none (only the current step); text (Recent-50): the last 50 turns of the agent's own observations, capped at 10,500 characters; multimodal (Recent-50): the same plus 128×96 thumbnails of the last ≤ 10 camera views;
- tools — none; sketchpad: a persistent 1,500-character notepad the agent edits itself; retriever: dense search (all-MiniLM-L6-v2, top 3) over the session's observations, results shown next turn; both.
- Budget: 60 steps per house, 1,200 per session. Actions: move/turn/look, switch house, submit, tool call.
- Inference: vLLM 0.32.0, temperature 0, thinking disabled, ≤ 768 output tokens, 32k context, ≤ 16 images per prompt. FP8 weights for GLM-4.6V and Qwen3.8-Flash-Next, BF16 for the rest. A reply is parsed as its first complete JSON object; a bare verb counts as a navigation action.
- Reliability: the servers were watched for stalls and restarted when one stopped serving; the agents retried patiently (up to 12 times with backoff) through each restart, and any session that still had to take a fallback step was re-run from scratch — the released sessions contain no fallback steps. vLLM batching is not bitwise deterministic, so re-runs at temperature 0 can differ in detail.
Results — correct out of 150
Each config is 150 sessions: 2 tracks (explicit, implicit) × 3 tiers (easy, medium, hard) × 25 instances. A session explores up to 20 candidate houses and submits one; exactly one meets all 7 requirements. Random choice: 7.5 / 150.
| model | memory | none | sketchpad | retriever | sketchpad + retriever |
|---|---|---|---|---|---|
| Qwen3.8-Flash-Next (FP8) | none | 27 | 80 | 42 | 94 |
| Qwen3.8-Flash-Next (FP8) | text (Recent-50) | 84 | 90 | 86 | 91 |
| Qwen3.8-Flash-Next (FP8) | multimodal (Recent-50) | 80 | 87 | 82 | 84 |
| GLM-4.6V (FP8) | none | 13 | 16 | 13 | 14 |
| GLM-4.6V (FP8) | text (Recent-50) | 33 | 33 | 27 | 25 |
| GLM-4.6V (FP8) | multimodal (Recent-50) | 37 | 30 | 33 | 30 |
| Gemma-4-31B | none | 12 | 53 | 43 | 57 |
| Gemma-4-31B | text (Recent-50) | 43 | 68 | 62 | 69 |
| Gemma-4-31B | multimodal (Recent-50) | 46 | 64 | 65 | 83 |
| Qwen3.8-27B | none | 22 | 60 | 48 | 73 |
| Qwen3.8-27B | text (Recent-50) | 89 | 93 | 90 | 96 |
| Qwen3.8-27B | multimodal (Recent-50) | 92 | 90 | 95 | 86 |
| GLM-4.6V-Flash | none | 24 | 25 | 20 | 16 |
| GLM-4.6V-Flash | text (Recent-50) | 28 | 25 | 30 | 21 |
| GLM-4.6V-Flash | multimodal (Recent-50) | 27 | 23 | 23 | 25 |
| Qwen3-VL-8B | none | 24 | 23 | 20 | 20 |
| Qwen3-VL-8B | text (Recent-50) | 21 | 25 | 22 | 19 |
| Qwen3-VL-8B | multimodal (Recent-50) | 24 | 28 | 28 | 27 |
| Qwen3.5-9B | none | 15 | 27 | 16 | 36 |
| Qwen3.5-9B | text (Recent-50) | 42 | 36 | 46 | 42 |
| Qwen3.5-9B | multimodal (Recent-50) | 44 | 51 | 58 | 48 |
| Gemma-4-26B-A4B | none | 23 | 45 | 18 | 33 |
| Gemma-4-26B-A4B | text (Recent-50) | 35 | 30 | 35 | 41 |
| Gemma-4-26B-A4B | multimodal (Recent-50) | 31 | 27 | 33 | 25 |
Per-cell numbers (accuracy, mean satisfaction of the chosen house, steps, houses visited, tool calls,
parse errors) are in results_by_cell.csv.
Integrity
| model | model id | sessions | turns | parse errors | tool calls | length stops | fallback steps | thinking turns |
|---|---|---|---|---|---|---|---|---|
| Qwen3.8-Flash-Next (FP8) | Qwen/Qwen3.8-Flash-Next-FP8 |
1,800 | 525,991 | 0.23% | 4,360 | 165 | 0 | 0 |
| GLM-4.6V (FP8) | zai-org/GLM-4.6V-FP8 |
1,800 | 1,248,285 | 0.03% | 1,005 | 40 | 0 | 0 |
| Gemma-4-31B | google/gemma-4-31B-it |
1,800 | 1,054,780 | 0.06% | 7,925 | 15 | 0 | 0 |
| Qwen3.8-27B | Qwen/Qwen3.8-27B |
1,800 | 419,563 | 0.09% | 3,329 | 84 | 0 | 0 |
| GLM-4.6V-Flash | zai-org/GLM-4.6V-Flash |
1,800 | 307,937 | 1.23% | 3,404 | 21 | 0 | 0 |
| Qwen3-VL-8B | Qwen/Qwen3-VL-8B-Instruct |
1,800 | 1,416,406 | 0.78% | 3,489 | 48 | 0 | 0 |
| Qwen3.5-9B | Qwen/Qwen3.5-9B |
1,800 | 583,953 | 0.27% | 6,139 | 313 | 0 | 0 |
| Gemma-4-26B-A4B | google/gemma-4-26B-A4B-it |
1,800 | 1,573,961 | 6.54% | 7,279 | 105 | 0 | 0 |
A parse error is a reply without a complete JSON object; that step passes with no action. Gemma-4-26B-A4B's
rate is concentrated in implicit-track runs with multimodal memory (24–39% of their turns): there it often
writes the fields in the prompt's "field" — description layout, or as "observation": …, "thoughts": …
without the enclosing braces. Length stops are replies cut at the 768-token limit.
Files
| file | entries | size | sha256 |
|---|---|---|---|
qwen38_flash_next_fp8/trajectories.zip |
3,807 | 0.16 GB | 08f0a2945f20… |
qwen38_flash_next_fp8/images/explicit_easy.zip |
86,506 | 1.81 GB | d55abfe22a53… |
qwen38_flash_next_fp8/images/explicit_hard.zip |
248,842 | 5.80 GB | 85bee8f06d99… |
qwen38_flash_next_fp8/images/explicit_medium.zip |
116,542 | 2.59 GB | 1a3e26e9aa27… |
qwen38_flash_next_fp8/images/implicit_easy.zip |
118,686 | 2.40 GB | 3bd358de8443… |
qwen38_flash_next_fp8/images/implicit_hard.zip |
312,350 | 7.17 GB | 14500b211584… |
qwen38_flash_next_fp8/images/implicit_medium.zip |
169,056 | 3.64 GB | c06d0fca3b91… |
glm46v_fp8/trajectories.zip |
3,829 | 0.39 GB | 97dc0b7d0015… |
glm46v_fp8/images/explicit_easy.zip |
381,230 | 7.36 GB | f00c24858f6f… |
glm46v_fp8/images/explicit_hard.zip |
471,486 | 10.55 GB | 95332d1d5f81… |
glm46v_fp8/images/explicit_medium.zip |
387,590 | 8.25 GB | 4fc5c75d8799… |
glm46v_fp8/images/implicit_easy.zip |
327,786 | 6.19 GB | 36f6ab173041… |
glm46v_fp8/images/implicit_hard.zip |
502,296 | 11.19 GB | f9c88ba6e8cb… |
glm46v_fp8/images/implicit_medium.zip |
426,182 | 8.54 GB | 58bf6914728e… |
gemma4_31b/trajectories.zip |
3,846 | 0.31 GB | 651386c53e01… |
gemma4_31b/images/explicit_easy.zip |
243,928 | 4.47 GB | d4e57d86aa41… |
gemma4_31b/images/explicit_hard.zip |
279,976 | 6.39 GB | f63d07eb1293… |
gemma4_31b/images/explicit_medium.zip |
199,998 | 4.08 GB | 109ceb1ff9fb… |
gemma4_31b/images/implicit_easy.zip |
501,252 | 9.10 GB | 1cd63979a5db… |
gemma4_31b/images/implicit_hard.zip |
449,462 | 10.15 GB | 0bc08fdd8e2e… |
gemma4_31b/images/implicit_medium.zip |
434,944 | 8.60 GB | 29705b05732f… |
qwen38_27b/trajectories.zip |
3,779 | 0.14 GB | 00b2e7bab179… |
qwen38_27b/images/explicit_easy.zip |
77,084 | 1.55 GB | 4cc2d8f2fe3f… |
qwen38_27b/images/explicit_hard.zip |
254,484 | 5.88 GB | 99ac6b2a1d5a… |
qwen38_27b/images/explicit_medium.zip |
98,932 | 2.10 GB | 8cf49d8e5559… |
qwen38_27b/images/implicit_easy.zip |
140,662 | 2.58 GB | d022de2443b4… |
qwen38_27b/images/implicit_hard.zip |
180,632 | 4.14 GB | ba76eaac9965… |
qwen38_27b/images/implicit_medium.zip |
87,332 | 1.81 GB | 012b4f674d1d… |
glm46v_flash/trajectories.zip |
3,812 | 0.09 GB | e1080e24f209… |
glm46v_flash/images/explicit_easy.zip |
132,784 | 2.55 GB | bd7d00882292… |
glm46v_flash/images/explicit_hard.zip |
97,390 | 2.24 GB | 47f55b52622e… |
glm46v_flash/images/explicit_medium.zip |
111,222 | 2.37 GB | ccfc4f8e3a1f… |
glm46v_flash/images/implicit_easy.zip |
68,924 | 1.31 GB | 3c9dca020230… |
glm46v_flash/images/implicit_hard.zip |
105,502 | 2.38 GB | 17ad0fe3b408… |
glm46v_flash/images/implicit_medium.zip |
100,052 | 2.07 GB | bb93f7e409da… |
qwen3vl8b/trajectories.zip |
3,802 | 0.36 GB | d73235f81870… |
qwen3vl8b/images/explicit_easy.zip |
484,618 | 9.15 GB | 2465ac59e8f0… |
qwen3vl8b/images/explicit_hard.zip |
380,954 | 8.47 GB | f9e40065c0c9… |
qwen3vl8b/images/explicit_medium.zip |
421,960 | 8.83 GB | b45f5fa4c6c0… |
qwen3vl8b/images/implicit_easy.zip |
506,326 | 9.32 GB | a9c5d451a45d… |
qwen3vl8b/images/implicit_hard.zip |
515,618 | 11.25 GB | 9a8986ae994a… |
qwen3vl8b/images/implicit_medium.zip |
523,336 | 10.33 GB | ee871085f305… |
qwen35_9b/trajectories.zip |
3,790 | 0.14 GB | 94d884861031… |
qwen35_9b/images/explicit_easy.zip |
180,052 | 3.45 GB | dbf94a80f4cd… |
qwen35_9b/images/explicit_hard.zip |
221,316 | 4.93 GB | 12a211db83bb… |
qwen35_9b/images/explicit_medium.zip |
184,754 | 4.01 GB | 3f94c2c3964d… |
qwen35_9b/images/implicit_easy.zip |
158,110 | 2.95 GB | 6c851916e6fd… |
qwen35_9b/images/implicit_hard.zip |
235,464 | 5.58 GB | 0853cb5cea72… |
qwen35_9b/images/implicit_medium.zip |
188,210 | 3.71 GB | 93c1b827d54d… |
gemma4_26b_a4b/trajectories.zip |
3,900 | 0.44 GB | d31a7cea5462… |
gemma4_26b_a4b/images/explicit_easy.zip |
473,786 | 9.01 GB | cb0e1b92213c… |
gemma4_26b_a4b/images/explicit_hard.zip |
480,316 | 10.86 GB | 4d2ec559e2c9… |
gemma4_26b_a4b/images/explicit_medium.zip |
451,718 | 9.38 GB | 2ed8472a20fa… |
gemma4_26b_a4b/images/implicit_easy.zip |
549,610 | 10.17 GB | 01bfe3658d76… |
gemma4_26b_a4b/images/implicit_hard.zip |
613,024 | 13.76 GB | 1755b9020797… |
gemma4_26b_a4b/images/implicit_medium.zip |
579,468 | 11.59 GB | 2c679990e56f… |
benchmark.zip |
4 | 2.8 MB |
Total: 298.0 GB. Each model directory has a manifest.json with full SHA-256s.
<model>/trajectories.zip—<model>/<run>/<instance>/interaction.jsonfor every session (all turns:prompt, rawresponse,parsedaction,tool_response,execution, house and step indices,is_golden), plus each run'sresults.jsonl(one row per session: chosen vs golden house, correctness, satisfaction ratio, steps, houses visited, tool calls, parse errors, token counts) andsummary.json, the per-session logs, and the model'sintegrity_check.jsonandsweep_grid.{json,md}. A run is namedN1M19_<track>_<tier>_<config>_full.results.jsonlholds one row per session, from its final attempt: two Gemma-4-31B sessions that had already finished were re-run because they had taken a fallback step during a server outage, and their earlier rows are dropped (listed underdropped_result_rowsin that model'smanifest.json).<model>/images/<track>_<tier>.zip— the camera (turn_NNNN_ego.jpg) and minimap (turn_NNNN_map.jpg) images of every step, at<model>/<run>/<instance>/images/.benchmark.zip— the 50 instances (N1M19_explicit.json,N1M19_implicit.json: requirements, the 58-house candidate set with per-house satisfied requirements and tier windows, ground truth), their README (how they were generated and validated), and the ProcTHOR-10K train-house feature cache used to check them.
The houses come from ProcTHOR-10K (AI2). The requirements of the 38 instances added for test_1018 were written by an LLM (see the benchmark README). Model outputs are subject to each model's own license terms.
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