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Models · Z.ai (Zhipu) · Out sinceReleased 14 Aug 2026

GLM-5.3#13 for writing.#13 for writing, best at max effort.

Available on OpenRouterOn OpenRouterAvailable nowGenerally availableCan run on your own serversOpen weightsOur pick: The best model you can run on your own serversPick: Best open model to run yourself

GLM-5.3 is made by Z.ai (Zhipu). Among the models we track it ranks #13 for writing, #13 for coding, #19 for research and analysis. It's mid-priced to use. Its makers have published it, so you can run it on your own servers. GLM-5.3 is the strongest freely downloadable model that still fits on a single AI server. Its licence lets you use it commercially, so your documents never have to leave your own or an EU data centre.

Same base as GLM-5.2, post-training only. Thinking cannot be disabled; reasoning_effort low/high/max (default max; max recommended for coding). Weights released ~2 weeks after launch (license 'glm-5.3'). Cached input $0.26.

Writing & creativity
56.6 / 100 · #13
Research & analysis
64.8 / 100 · #19
Coding
55.5 / 100 · #13
Price
Mid-priced$1.40 / $4.40
Price per 1M (blended)Blended / 1M
$2.15
MemoryContext
1M
Longest answerMax output
131K
Test resultsResults
85 (68 independent68 indep.)
Out sinceReleased
14 Aug 2026
Made byVendor
Z.ai (Zhipu)
UnderstandsInputs
text

Scores are out of 100 for each area, compared with every model we track; “#” is its rank. Context is how much text it can read at once (1M is roughly 700,000 words). Blended price mixes the cost of what you send and what it writes back.

Thinking levels

Reasoning settings

LowHighMax

Highlighted: where it did best for writing (Maximum thinking).

Highlighted: dominant setting in its writing composite.

Read more

Links

Using it through OpenRouter

On OpenRouter

OpenRouter is a service that gives access to many AI models in one place. This model is listed there as z-ai/glm-5.3.

Route it as z-ai/glm-5.3 at $0.30 in / $4.40 out per 1M tokens, 1M context. Listed since 18 Aug 2026.

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_pparallel_tool_callspresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

Run it yourself

Self-hosting

On your own servers,Licence, sizeunder your own control.and hardware.

Compare all open models →All open-weights models →

OK for business useCommercial use
Yes
SizeParams (total / active)
744B / 40B
Can be trained furtherBase model
No

Hardware you'd need

Hardware tier & memory

Needs one full AI server.

≤ 1.1 TB at 8-bit (one 8×H200 node). Weights ≈ 781 GB at 8-bit, 409 GB at 4-bit (+10–30% for KV cache). MoE: 40B active per token.

Licence conditions: Keep copyright/permission notice; comply with applicable law. Only MaaS businesses with >US$10B revenue over 12 months must pass a Z.AI security review before commercial use.

Restrictions: Keep copyright/permission notice; comply with applicable law. Only MaaS businesses with >US$10B revenue over 12 months must pass a Z.AI security review before commercial use.

Languages: Languages: HF metadata: en, zh.

Training it further: Fine-tuning: Model card links an Unsloth guide (unsloth.ai/docs/models/GLM-5.3); no vendor SFT recipe. Same base as GLM-5.2, base checkpoint not released.

Quantisations: fp8 (default release), bf16 (zai-org/GLM-5.3-BF16), nvfp4 (NVIDIA: nvidia/GLM-5.3-NVFP4), gguf (community: Unsloth dynamic). Engines: SGLang, vLLM, TokenSpeed, Transformers, KTransformers, llama.cpp (via Unsloth GGUF guide), vLLM-Ascend/xLLM (Ascend NPU).

Download (Hugging Face)Weights on Hugging Face ↗huggingface.co ↗huggingface.co ↗github.com ↗

Thinking level

Reasoning effort

How long should GLM-5.3Where GLM-5.3think?peaks.

Each chart is one test. Left to right, the model thinks longer; higher is a better result. The yellow ring marks where it did best. Thinking level is how long the AI thinks before it answers. Higher is slower and costs more, and it isn't always better.

Score per reasoning setting on each benchmark with ≥2 settings; ring = peak. Canonical results (independent over vendor).

Terminal-Bench 4.0

Best at MaxBest at Max

CursorBench

Best at MaxBest at Max

SciCode

Best at MaxBest at Max

Artificial Analysis Intelligence Index

Best at MaxBest at Max

AA-LCR

Best at MaxBest at Max

AA-Omniscience Accuracy

Best at Low, worse abovePeaks at Low

AA-Omniscience Hallucination Rate

Best at MaxBest at Max

Lower is better on this test

AA-Omniscience Index

Best at MaxBest at Max

Humanity's Last Exam

Best at MaxBest at Max

Z.ai Code Bench (internal)

Best at MaxBest at Max

Every test result

Every result

All the numbers,with where they came from.

Every result we've found for this model, with who measured it and a link to where we read it.

All raw rows (vendor and independent kept separate), with setting label, source, date, harness and notes.

All results for this model
NotesNotes
AA-Briefcase v1.11511MaxGLM-5.3 (Max)Independent testIndependentArtificial Analysis ↗1 Oct 2026—
AA-LCR72.7%LowGLM-5.3 (Low)Independent testIndependentArtificial Analysis ↗1 Oct 2026—AA-LCR accuracy, AA-run (long multi-document reasoning)
AA-LCR79.7%MaxGLM-5.3 (Max)Independent testIndependentArtificial Analysis ↗1 Oct 2026—AA-LCR accuracy, AA-run (long multi-document reasoning)
AA-Omniscience Accuracy33.9%LowGLM-5.3 (Low)Independent testIndependentArtificial Analysis ↗1 Oct 2026—
AA-Omniscience Accuracy33.9%MaxGLM-5.3 (Max)Independent testIndependentArtificial Analysis ↗1 Oct 2026—
AA-Omniscience Hallucination Rate64.0%LowGLM-5.3 (Low)Independent testIndependentArtificial Analysis ↗1 Oct 2026—share of non-correct answers that were wrong instead of abstaining; = 1 - AA 'omniscienceNonHallucination' field (equals breakdown.hallucinationRate on the eval page)
AA-Omniscience Hallucination Rate29.6%MaxGLM-5.3 (Max)Independent testIndependentArtificial Analysis ↗1 Oct 2026—share of non-correct answers that were wrong instead of abstaining; = 1 - AA 'omniscienceNonHallucination' field (equals breakdown.hallucinationRate on the eval page)
AA-Omniscience Index-8.4LowGLM-5.3 (Low)Independent testIndependentArtificial Analysis ↗1 Oct 2026—AA-Omniscience Index (-100..100): correct minus incorrect, abstentions not penalised
AA-Omniscience Index14.3MaxGLM-5.3 (Max)Independent testIndependentArtificial Analysis ↗1 Oct 2026—AA-Omniscience Index (-100..100): correct minus incorrect, abstentions not penalised
Agents' Last Exam28.5%Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026Claude CodeALE-CLI, 105 tasks
Artificial Analysis Coding Agent Index53.6DefaultGLM-5.3Independent testIndependentArtificial Analysis ↗1 Oct 2026Opencodeagent Opencode; components: DeepSWE v1.1 61.4, SWE-Atlas-QnA 59.4, Terminal-Bench v4 39.9; avg cost $4.24/task; avg wall time 48 min/task
Artificial Analysis Intelligence Index34.3LowGLM-5.3 (Low)Independent testIndependentArtificial Analysis ↗1 Oct 2026—AA slug glm-5-3-low; list price $1.4/4.4 per 1M in/out; cost to run AA Intelligence Index $0.85/task
Artificial Analysis Intelligence Index44.8MaxGLM-5.3 (Max)Independent testIndependentArtificial Analysis ↗1 Oct 2026—AA slug glm-5-3; list price $1.4/4.4 per 1M in/out; cost to run AA Intelligence Index $2.01/task
Artificial Analysis output speed69 tok/sLowGLM-5.3 (Low)Independent testIndependentArtificial Analysis ↗1 Oct 2026—tokens/sec (median output speed, first-party API); TTFT 3.1s; list price $1.4/4.4 per 1M in/out
Artificial Analysis output speed65 tok/sMaxGLM-5.3 (Max)Independent testIndependentArtificial Analysis ↗1 Oct 2026—tokens/sec (median output speed, first-party API); TTFT 3.3s; list price $1.4/4.4 per 1M in/out
AutomationBench48.2%Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026—AutomationBench v1.0.6
CursorBench33.3%LowGLM 5.3 LowIndependent testIndependentCursor (CursorBench) ↗1 Oct 2026Cursor agentCursorBench 4.0 (tasks from real Cursor sessions; v4.0 introduced 2026-09-10); rank 43; $2.04/task; 31,983 tokens/task; 81 steps/task
CursorBench38.0%HighGLM 5.3 HighIndependent testIndependentCursor (CursorBench) ↗1 Oct 2026Cursor agentCursorBench 4.0 (tasks from real Cursor sessions; v4.0 introduced 2026-09-10); rank 30; $3.24/task; 60,031 tokens/task; 114 steps/task
CursorBench42.6%MaxGLM 5.3 MaxIndependent testIndependentCursor (CursorBench) ↗1 Oct 2026Cursor agentCursorBench 4.0 (tasks from real Cursor sessions; v4.0 introduced 2026-09-10); rank 20; $5.05/task; 96,387 tokens/task; 166 steps/task
CyberGym84.5%Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026Claude Code 2.1.207single-run pass@1 over 1,507 tasks
DeepSWE69.0%Maxglm-5.3_maxIndependent testIndependentDeepSWE (Datacurve) via Epoch AI ↗1 Oct 2026mini-SWE-agentread from Epoch AI benchmark_data.zip (deepswe_external.csv); original leaderboard https://deepswe.datacurve.ai/; harness mini-swe-agent; pass@4 87.6%; ±3.0; 4 runs; $3.99/task
DeepSWE66.9%Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026mini-swe-agentDeepSWE v1.1; temp 0.95, 6h timeout, 400K ctx
DeepSWE61.4%DefaultGLM-5.3Independent testIndependentArtificial Analysis ↗1 Oct 2026OpencodeAA Coding Agent Index component; pass@1 avg of 3 attempts
Epoch Capabilities Index155.8DefaultIndependent testIndependentEpoch AI ↗1 Oct 2026—Epoch Capabilities Index; 90% CI 153.7-158.3; best of listed model versions
EQ-Bench Creative Writing v3 (Elo)2075DefaultGLM-5.3Independent testIndependentEQ-Bench ↗1 Oct 2026—leaderboard rank 6; rubric score 17.04/20; slop 8.42; avg length 5913 chars; Elo judged by Claude Sonnet 4.6; effort not stated by EQ-Bench
ExploitBench54.4%Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026Claude Code 2.1.207
FrontierCode40.1%Maxglm-5.3_maxIndependent testIndependentFrontierCode (Cognition) via Epoch AI ↗1 Oct 2026chiselread from Epoch AI benchmark_data.zip (frontiercode_external.csv); original leaderboard https://cognition.com/frontiercode; harness chisel; Mean@5
FrontierMath (Tiers 1-3)68.8%Maxglm-5.3_maxIndependent testIndependentEpoch AI ↗25 Aug 2026—FrontierMath Tiers 1-3 (v2), Epoch-run; stderr 2.7pt; data https://epoch.ai/data/benchmark_data.zip (frontiermath_tiers_1_3_v2.csv)
FrontierSWE78.1%Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026—Run by Proximal; dominance score as of 2026-08-14
FrontierSWE30.2%DefaultIndependent testIndependentFrontierSWE ↗1 Oct 2026proximusFrontierSWE V2, mean@5 over 34 tasks (20h budget); ±11.5; $97.22/trial; 17.0h/trial; 'Per provider' view shows best entry per provider; Epoch notes runs use max reasoning effort
GDPval-AA v21769Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026—Evaluated by Artificial Analysis
GDPval-AA v2.11644MaxGLM-5.3 (Max)Independent testIndependentArtificial Analysis ↗1 Oct 2026—95% CI 1621.04-1666.21
GPQA Diamond91.7%MaxGLM-5.3 (Max)Independent testIndependentArtificial Analysis ↗1 Oct 2026—AA-run evaluation (AA slug glm-5-3)
HLE Diamond16.4%Defaultglm-5.3Independent testIndependentScale AI SEAL ↗1 Oct 2026—rank 11 (Scale rank accounts for CI); ±2.3; entry added 2025-11-06
Humanity's Last Exam36.6%LowGLM-5.3 (Low)Independent testIndependentArtificial Analysis ↗1 Oct 2026—AA-run evaluation (AA slug glm-5-3-low)
Humanity's Last Exam42.3%MaxGLM-5.3 (Max)Independent testIndependentArtificial Analysis ↗1 Oct 2026—AA-run evaluation (AA slug glm-5-3)
Humanity's Last Exam (with tools)62.5%Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026—300K ctx with context management
IOI (Vals)68.4%Maxreasoning_effort=maxIndependent testIndependentVals.ai ↗29 Sep 2026—±7.476 stderr; $7.671/test
LegalBench (Vals)84.8%Maxreasoning_effort=maxIndependent testIndependentVals.ai ↗29 Sep 2026—vals id zai/glm-5.3; rank 27/149; ±0.4 stderr; $0.006513/test
LLM Creative Story-Writing Benchmark (Lech Mazur)3MaxGLM-5.3 (max)Independent testIndependentLech Mazur (LLM Creative Story-Writing Benchmark) ↗28 Sep 2026—rank 6/56; Thurstone comparison score (centered at 0); est. win chance 88%; 95% bootstrap 2.928 to 3.127
LMArena Code Arena (WebDev)1622Maxglm-5.3-maxIndependent testIndependentLMArena ↗30 Sep 2026—Code Arena | WebDev overall (agentic web-dev, raw); rank 19 (CI rank 14-24); 95% CI 1614-1630; 7457 votes
LMArena Text - Creative Writing1455Maxglm-5.3-maxIndependent testIndependentLMArena ↗30 Sep 2026—rank 31 (rank range 13-61); 95% CI 1444.8-1465.7; 3895 votes; style-controlled
LMArena Text - Expert1519Maxglm-5.3-maxIndependent testIndependentLMArena ↗30 Sep 2026—rank 17 (rank range 4-54); 95% CI 1504.0-1532.9; 1753 votes; style-controlled
LMArena Text - Hard Prompts1505Maxglm-5.3-maxIndependent testIndependentLMArena ↗30 Sep 2026—rank 21 (rank range 10-41); 95% CI 1498.7-1511.9; 11072 votes; style-controlled
LMArena Text - Instruction Following1478Maxglm-5.3-maxIndependent testIndependentLMArena ↗30 Sep 2026—rank 21 (rank range 10-43); 95% CI 1469.5-1486.2; 5877 votes; style-controlled
LMArena Text - Longer Query1489Maxglm-5.3-maxIndependent testIndependentLMArena ↗30 Sep 2026—rank 27 (rank range 13-54); 95% CI 1481.1-1496.2; 8106 votes; style-controlled
LMArena Text - Multi-Turn1481Maxglm-5.3-maxIndependent testIndependentLMArena ↗30 Sep 2026—rank 39 (rank range 8-76); 95% CI 1468.5-1492.7; 2623 votes; style-controlled
LMArena Text - Non-English1464Maxglm-5.3-maxIndependent testIndependentLMArena ↗30 Sep 2026—rank 31 (rank range 18-50); 95% CI 1457.7-1471.1; 10284 votes; style-controlled
LMArena Text - Occupational: Business, Management & Finance1475Maxglm-5.3-maxIndependent testIndependentLMArena ↗30 Sep 2026—rank 32 (rank range 9-65); 95% CI 1464.3-1486.0; 3253 votes; style-controlled
LMArena Text - Occupational: Legal & Government1473Maxglm-5.3-maxIndependent testIndependentLMArena ↗30 Sep 2026—rank 51 (rank range 12-102); 95% CI 1457.2-1488.4; 1520 votes; style-controlled
LMArena Text - Occupational: Writing, Literature & Language1469Maxglm-5.3-maxIndependent testIndependentLMArena ↗30 Sep 2026—rank 24 (rank range 9-46); 95% CI 1460.1-1478.5; 4954 votes; style-controlled
LMArena Text (overall)1479Maxglm-5.3-maxIndependent testIndependentLMArena ↗30 Sep 2026—text overall, style control on; rank 26 (CI rank 13-44); 95% CI 1474-1485; 17268 votes
MCP Atlas84.2%DefaultGLM 5.3Independent testIndependentScale AI SEAL ↗1 Oct 2026—rank 2 (Scale rank accounts for CI); ±2.15; entry added 2026-09-17
NL2Repo-Bench58.0%Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026—1M ctx, anti-hacking judge
PostTrainBench v1.139.8%Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026Claude Code 2.1.207weighted avg of 3 runs
ProgramBench (Almost Solved)19.0%Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026—ProgramBench 'Almost Solved'
ProgramBench (fully resolved)1.5%Maxreasoning_effort=maxIndependent testIndependentVals.ai ↗29 Sep 2026mini-SWE-agent±0.862 stderr; $21.957/test; strict fully-resolved rate
SciCode42.0%LowGLM-5.3 (Low)Independent testIndependentArtificial Analysis ↗1 Oct 2026—AA-run evaluation (AA slug glm-5-3-low)
SciCode59.0%MaxGLM-5.3 (Max)Independent testIndependentArtificial Analysis ↗1 Oct 2026—AA-run evaluation (AA slug glm-5-3)
SimpleBench66.2%DefaultGLM 5.3Independent testIndependentSimpleBench ↗19 Aug 2026—AVG@5, temp 0.7; rank 22nd; human baseline 83.7%; data https://simple-bench.com/static/js/leaderboard-data.js
SimpleQA Verified41.0%Maxglm-5.3_maxIndependent testIndependentEpoch AI ↗28 Aug 2026—Epoch-run (no tools); ±1.56 stderr
SkillsBench47.5%Maxreasoning_effort=maxIndependent testIndependentVals.ai ↗27 Sep 2026OpenHands±4.522 stderr; $0.714/test
SWE Atlas - Codebase QnA59.4%DefaultGLM-5.3Independent testIndependentArtificial Analysis ↗1 Oct 2026OpencodeAA Coding Agent Index component; pass@1 avg of 3 attempts
SWE Marathon42.5%Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026Claude Code 2.1.207SWE-Marathon v1.1; some anti-cheat checks replaced by LLM inspection
SWE-Bench Pro V2 (full)95.6%MaxGLM-5.3 (mini-swe-agent) maxIndependent testIndependentScale AI SEAL ↗1 Oct 2026mini-SWE-agentrank 5 (Scale rank accounts for CI); ±1.3; entry added 2026-09-22; SWE-Bench Pro V2 (642 tasks, locked protocol, released 2026-09-22)
SWE-Bench Pro V2 (hard)84.3%MaxGLM-5.3 (mini-swe-agent) maxIndependent testIndependentScale AI SEAL ↗1 Oct 2026mini-SWE-agentrank 7 (Scale rank accounts for CI); ±0; entry added 2026-09-22; SWE-Bench Pro V2 (642 tasks, locked protocol, released 2026-09-22)
SWE-bench Verified95.4%Maxreasoning_effort=maxIndependent testIndependentVals.ai ↗1 Sep 2026bash-only (single bash tool) agent±0.938 stderr; $0.338/test; Vals archived SWE-bench Verified on 2026-09-01 (saturated)
Terminal-Bench 2.183.9%MaxGLM-5.3 (Max)Independent testIndependentArtificial Analysis ↗1 Oct 2026—AA-run evaluation (AA slug glm-5-3)
Terminal-Bench 2.188.2%Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026Claude Code 2.1.207temp 1.0, top_p 1, max_new_tokens 65,536, 6h timeout
Terminal-Bench 3.032.4%MaxIndependent testIndependentSnorkel AI / Terminal-Bench ↗1 Oct 2026Claude CodeTB 3.0 v0.1 (74 tasks); superseded by TB 4.0; tokens 5.6B, run cost $1.8k
Terminal-Bench 3.028.3%Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026Claude Code 2.1.207avg@3, 400K ctx, 600 turns, 10h timeout, official verifiers
Terminal-Bench 4.034.8%LowGLM-5.3 (Low)Independent testIndependentArtificial Analysis ↗1 Oct 2026—AA-run evaluation (AA slug glm-5-3-low)
Terminal-Bench 4.041.9%MaxGLM-5.3 (Max)Independent testIndependentArtificial Analysis ↗1 Oct 2026—AA-run evaluation (AA slug glm-5-3)
Terminal-Bench 4.041.8%MaxIndependent testIndependentTerminal-Bench ↗1 Oct 2026Claude CodeTB 4.0.0 (66 tasks); ±3.23 95% CI; 330 trials; total run cost $2728; model release 2026-08-14
Terminal-Bench 4.038.9%Maxreasoning_effort=maxIndependent testIndependentVals.ai ↗29 Sep 2026mini-SWE-agent±1.821 stderr; $9.374/test
Terminal-Bench 4.039.9%DefaultGLM-5.3Independent testIndependentArtificial Analysis ↗1 Oct 2026OpencodeAA Coding Agent Index component run in the vendor agent harness; pass@1 avg of 3 attempts
Toolathlon-Verified73.0%Maxreasoning_effort=maxMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026—official evaluation service, avg of 3 runs
Vals Code Migration44.2%Maxreasoning_effort=maxIndependent testIndependentVals.ai ↗29 Sep 2026—±4.289 stderr; $24.910/test
Vals Index53.5%Maxreasoning_effort=maxIndependent testIndependentVals.ai ↗30 Sep 2026—±1.305 stderr; $7.249/test
Vals Legal Research Bench49.0%Maxreasoning_effort=maxIndependent testIndependentVals.ai ↗29 Sep 2026—vals id zai/glm-5.3; rank 7/72; ±3.475 stderr; $2.241388/test
Vals Public Benefits Bench v1.168.5%Maxreasoning_effort=maxIndependent testIndependentVals.ai ↗29 Sep 2026—vals id zai/glm-5.3; rank 8/45; ±1.208 stderr; $0.946832/test
Vals TaxEval v272.4%Maxreasoning_effort=maxIndependent testIndependentVals.ai ↗1 Sep 2026—vals id zai/glm-5.3; rank 66/145; ±0.879 stderr; $0.032/test
Vals Vibe Code Bench78.1%Maxreasoning_effort=maxIndependent testIndependentVals.ai ↗29 Sep 2026OpenHands±3.94 stderr; $12.450/test
Z.ai Code Bench (internal)31.4%HighHigh effortMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026—~50K output tokens/task (blog text)
Z.ai Code Bench (internal)34.5%MaxMax effortMaker's own figureVendor-reportedZ.ai ↗14 Aug 2026—Z.ai Code Bench end-to-end completion; ~75K output tokens/task (read from blog text)