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glm-5.3-flash (DecisionBench openrout)

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glm-5.3-flash (DecisionBench openrout) is an open-weights decision model from Z.ai, released 26 August 2026. Its published size is 320B parameters.

Catalogue identity notes

DecisionBench v1 comparison: z-ai/glm-5.3-flash, revision openrouter-service-snapshot-2026-09-21-reasoning-aware-v1; language-model; adapter openrouter-chat-completions-json-schema-reasoning-aware-v1; probability source model-emitted-complete-candidate-probability-vector. Kept separate from newer or unpinned Decision Index recipes; standard prompt, not compact. No unverified runtime or OpenRouter price imported.

Model information sources

Release date ↗ · Parameter count ↗

Published served parameter count; not a RAM or download-size measurement.

60.8±1.8comparison only: no current run option verifiedfrom 27 benchmark results across 1 source

$ how it compares

The decision models ranked either side of glm-5.3-flash (DecisionBench openrout), out of 357 with a score.

#	model	score	where	RAM	released
102	garas (Gemma 4 31B) plantwaterer	61±1	model files
103	vLLM-SR d3-flash (9B) vLLM Semantic Router	61±1	local	~18GB
104	glm-5.3-flash (DecisionBench openrout) Z.ai	61±2	comparison only		2026-08-26
105	reflex-qwen3.5-4b-lora (DecisionBench 9df1cbbb) kshetrajna12	61±2	model files
106	reflex Qwen3.8-27B-FP8 (pmscr) (decision readout) kshetrajna12	61±1	source code

see all decision models · find the ones that fit your machine

$ what it's good at

workflows▁▁▁▂▁▂▂▆█▃▁▁ #22 of 116 · 99% of its score · 27 tests

Beats Nace.AI Drex Max v1 (27B), d1.1 (hosted), Span-02 (Gemma 4 26B-A4B) here, though they rank higher overall.

test	result	vs the others in its run	difficulty	counts	why
DecisionBench v1 · action selection (all-request accuracy) submitted	60.9% ✎	▂▁▂▃▄▃▁▁▂█▇▄ beats 43/56	medium · avg 51%	▇▇▇▇▇▇▇▇ 21%	at its level
DecisionBench v1 · routing (all-request accuracy) submitted	75.3% ✎	▁▁▁▁▂▂▁▁▁▁▃█ beats 42/56	medium · avg 64%	▇▇▇▇▇ 13%	sharp
DecisionBench v1 · navigation (all-request accuracy) submitted	72.0% ✎	▁▁·▃▁▁▁▁▁▁▃█ beats 42/56	medium · avg 58%	▇▇▇▇ 10%	sharp · at its level
DecisionBench v1 · record classification (all-request accuracy) submitted	44.0% ✎	▃▂▁▂▂▂▄▁▃▆██ beats 35/56	medium · avg 39%	▇▇▇▇ 10%	at its level
DecisionBench v1 · verification (all-request accuracy) submitted	62.5% ✎	▁▁▅▁▃▂▂▁▁▇▇█ beats 45/56	medium · avg 56%	▇▇▇ 6.7%	blunt · at its level
DecisionBench v1 · document record classification (all-request accuracy) submitted	59.8% ✎	▂▂·▁▂▄▃▆▄█▃▁ beats 54/56	medium · avg 46%	▇▇ 5.6%	at its level
DecisionBench v1 · rubric scoring prioritization (all-request accuracy) submitted	57.7% ✎	▁▁▅▅▃▃▅█▃▃·▁ beats 51/56	medium · avg 45%	▇▇ 4.7%	at its level
DecisionBench v1 · triage (all-request accuracy) submitted	86.0% ✎	▁·▁·▂▃▄▃▂█▄▂ beats 40/56	easy · avg 78%	▇ 3.7%	sharp

19 more tests

test	result	vs the others in its run	difficulty	counts	why
DecisionBench v1 · completion assessment (all-request accuracy) submitted	90.0% ✎	▁▁▂▃▄·▂▁▁▆█▂ beats 28/56	very easy · avg 86%	▇ 3.2%	sharp · maxed out
DecisionBench v1 · review scoring (all-request accuracy) submitted	59.0% ✎	▁······▂▃▅▇█ beats 39/56	medium · avg 52%	▇ 3.0%	at its level
DecisionBench v1 · content classification (all-request accuracy) submitted	80.0% ✎	▁····▁▁▁▁▁▁█ beats 41/56	easy · avg 73%	▇ 3.0%	typical
DecisionBench v1 · retrieval ranking (all-request accuracy) submitted	55.0% ✎	▁▁·▁▁▂▃▂▃▁▁█ beats 36/56	medium · avg 35%	▇ 2.6%	at its level · noisy
DecisionBench v1 · target selection (all-request accuracy) submitted	45.0% ✎	▁▁·▁▁▁▃▁▂▁▁█ beats 39/56	hard · avg 29%	▇ 2.5%	at its level · noisy
DecisionBench v1 · bounded extraction (all-request accuracy) submitted	95.2% ✎	▃▃▂·▁▁▁▁▁▁█▅ beats 50/56	very easy · avg 86%	▇ 2.4%	sharp · maxed out · noisy
DecisionBench v1 · risk scoring (all-request accuracy) submitted	65.0% ✎	▁▁·▁▂▂▁▃▃█▇▃ beats 35/56	medium · avg 62%	▇ 2.0%	blunt · at its level
DecisionBench v1 · reasoning (all-request accuracy) submitted	86.9% ✎	▂·▁▁▆█▅▃▃▂▁▃ beats 56/56	medium · avg 52%	▇ 1.3%	at its level
DecisionBench v1 · document workflows (all-request accuracy) submitted	85.3% ✎	█▄▃▁▁▃▂▂▃·▁▁ beats 54/56	easy · avg 66%	▇ 0.8%	blunt · at its level
DecisionBench v1 · retrieval verification (all-request accuracy) submitted	88.3% ✎	█▁▂▁▁▁▁▁▂▅▁▁ beats 53/56	easy · avg 74%	▇ 0.7%	noisy
DecisionBench v1 · guardrails moderation (all-request accuracy) submitted	64.0% ✎	▁▁▁▂▆▃▃█···▁ beats 54/56	medium · avg 52%	▇ 0.6%	blunt · at its level · noisy
DecisionBench v1 · document classification (all-request accuracy) submitted	35.0% ✎	▂▁·▂▁▁▁▄▁▂▂█ beats 47/56	hard · avg 21%	▇ 0.4%	blunt · at its level · noisy
DecisionBench v1 · safety gating (all-request accuracy) submitted	94.0% ✎	▂·····▆█▂▂▄▇ beats 38/56	easy · avg 77%	▇ 0.4%	noisy
DecisionBench v1 · semantic filtering (all-request accuracy) submitted	90.0% ✎	▁·▁▁·▁▁█▂▃█▃ beats 54/56	easy · avg 71%	▇ 0.3%	blunt · noisy
DecisionBench v1 · context management (all-request accuracy) submitted	89.5% ✎	▁·····▁▇▆▁█▃ beats 41/56	easy · avg 73%	▇ 0.2%	blunt · noisy
DecisionBench v1 · content moderation (all-request accuracy) submitted	100.0% ✎	▁····▃▅▃▂▂·█ beats 45/56	easy · avg 82%	▇ 0.2%	noisy
DecisionBench v1 · entity alignment (all-request accuracy) submitted	78.0% ✎	▁·▁▄▇▄▅▄▂▁▄█ beats 32/56	easy · avg 66%	▇ 0.2%	at its level · noisy
DecisionBench v1 · function agent skill routing (all-request accuracy) submitted	83.1% ✎	▃▃▄▅▆▂▅▄▃▄█▃ beats 32/56	easy · avg 68%	▇ 0.1%	blunt · at its level · noisy
DecisionBench v1 · routing triage (all-request accuracy) submitted	54.2% ✎	█▁···▁·▂▆▅▂▂ beats 32/56	medium · avg 42%	▇ 0.0%	blunt · at its level · noisy

$ where to run it

No verified API or download recorded yet · add one

Model repository and documentation: openrouter.ai ↗

$ how the score was worked out · Hanno Labs DecisionBench v1 r… 99%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

source	results	share of the score	licence
Hanno Labs DecisionBench v1 reviewed results · submitted; independent execution unverified	27	▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 99%	CC0 1.0
prior · pull toward the middle		▇ 1%
weighted average		= 60.8

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data updated 2026-11-03 02:37 UTC · sources and licences · json