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SOURCE_REPORTED / OFFICIAL MODEL CARD

GLM-5.3: official model and deployment card

The full GLM-5.3 model card, with serving routes and evaluation notes. Keep it separate from Flash and from quantized community conversions.

Read the original source Publisher / project JSON ↗Markdown ↗
Source checked 2026-10-17 · Not independently reproduced by Run AI Here.

THE SOURCE IN CONTEXT

The full GLM-5.3 model card, with serving routes and evaluation notes. Keep it separate from Flash and from quantized community conversions.

Which artifact does this page identify?

This is the full GLM-5.3 card, separate from Flash and from community quantizations. Its local-serving section includes a distinct Ascend route. Use the exact checkpoint and the selected conversion as separate identities. The companion recipe’s 743B total and 39B active labels belong to that recipe rather than a measured memory receipt.

Source: zai-org · pinned document

What is the correct reasoning configuration?

The publisher’s controls match the documented low, high and max reasoning-effort levels, defaulting to max. clear_thinking remains a separate chat-template option with a false default. Retaining the default effort matters for benchmark reproduction; enabling clear_thinking for a chat workflow should be recorded as its own configuration choice.

Source: zai-org · pinned document

How much of the published score can be reproduced from a headline?

The card reports 66.9 on DeepSWE v1.1 and 88.2 on Terminal-Bench 2.1. Their footnotes use different sampling, context and timeout settings. Terminal-Bench 3.0 is another protocol: three rollouts per task, isolated task containers, up to 600 turns and a ten-hour timeout. A score from one task is not a prediction of workstation throughput or another task’s accuracy.

Source: zai-org · pinned document

What should be retained before comparing results?

Keep the exact task revision, harness, tool policy, reasoning effort, maximum output and treatment of failures. Some published tasks change installation checks or use a fallback score when a run fails. Those decisions are part of the measurement. Read the footnote for the specific benchmark before comparing this card with a report from another author.

Source: zai-org · pinned document

What does the source specify?

These declarations belong to the cited document. A planning minimum, model limit and measured runtime allocation are different quantities.

Configuration facts from the pinned source
Reasoning effortlow / high / max; default max
HLE-with-tools context / output cap300000 / 163840 tokens
DeepSWE context / timeout400K tokens / 6 hours
Terminal-Bench 3.0 repeats / turns / timeout3 rollouts / 600 agent turns / 10 hours

Reported figures and their conditions

Selected facts reported by the original author. Each row has its own configuration and measurement boundary. Run AI Here has not reproduced these tests.

Attributed source results; no cross-source ranking
Configuration / workloadMetricReported valueEvidence
DeepSWE v1.1DeepSWE66.9 reported scorereported valueOriginal row ↗
Terminal-Bench 2.1Terminal Bench88.2 reported scorereported valueOriginal row ↗
DeepSWE v1.1 · DeepSWE · conditions
Conditions for this result only
modelzai-org/GLM-5.3
model_revisionba32f8c19c8738e2c57c71798c601d477a7bf844
hardwareNot specified
executed_runtime_revisionNot specified
input_tokensNot specified
output_tokensNot specified
repetitionsNot specified
measurement_scopepublisher capability evaluation, not local speed
benchmarkDeepSWE v1.1
harnessmini-swe-agent
temperature0.95
top_p1.0
context400K
timeout_hours6
reasoning_effortmax
Terminal-Bench 2.1 · Terminal Bench · conditions
Conditions for this result only
modelzai-org/GLM-5.3
model_revisionba32f8c19c8738e2c57c71798c601d477a7bf844
hardwareNot specified
executed_runtime_revisionNot specified
input_tokensNot specified
output_tokensNot specified
repetitionsNot specified
measurement_scopepublisher capability evaluation, not local speed
benchmarkTerminal-Bench 2.1
harnessClaude Code 2.1.207
temperature1.0
top_p1.0
max_new_tokens65536
timeout_hours6
reasoning_effortmax

AI-assisted source reading and original editorial synthesis; no independent model execution.

Key reading notes

Source identity and full condition receipt

Source identity

Attribution and exact source identity
Original publisherzai-org
Reference typeOfficial model card
Model IDzai-org/GLM-5.3
Default recipe artifactzai-org/GLM-5.3
Runtime topics["vLLM", "SGLang", "Transformers", "KTransformers", "TokenSpeed"]
Source revisionba32f8c19c8738e2c57c71798c601d477a7bf844
Source commit date — not experiment date2026-10-14T12:22:48.000Z
Source checked2026-10-17
Declared licenseglm-5.3

Reported conditions

Unknown fields remain unspecified; context limits and measured input lengths are different
systemNot specified
node_countNot specified
parallelismNot specified
kv_dtypeNot specified
context_limit_tokensNot specified
experiment_dateNot specified
model_revisionba32f8c19c8738e2c57c71798c601d477a7bf844
weight_hashNot specified
runtime_execution_revisionNot specified
input_tokensNot specified
output_tokensNot specified
concurrencyNot specified
cache_stateNot specified
quantizationNot specified
speculative_decodingNot specified
temperatureNot specified
top_pNot specified

Limits

The complete original tables and raw evidence remain in the linked reports. Selected attributed figures retain their own conditions. Results from different models, weights, runtimes, workloads or cohorts must be read separately.

License scope

Publisher model-card declaration; inspect the linked LICENSE and artifact-specific terms.

This index publishes original explanations, limited attributed factual selections and source pointers. It does not distribute model weights or source repositories. Third-party material retains its own terms.

Related references — check the checkpoint