GLM-5.3-Flash

Released
2026-08-26
Last refreshed
2026-10-08
Status
Researched 46d ago
Open sourceCommercial use: permittedMultimodalCodingRAGAgentsLong contextVisionJSON / Tool use
Zhipu AI releases · 14 in the last 12 months · this family litChangelog →
Specifications
Family
GLM-5
Released
2026-08-26
Context
1M
Max output
128K
Parameters
320B total, 18B active
Architecture
Mixture of Experts
Specialization
coding
Openness
Open source
License
MITOSI-approvedCommercial use: permitted
Weights
Available
Code
Unknown
Created by

Chinese AI research lab developing GLM language models.

Beijing, China
Founded 2019
Website
Pricing
Output / 1M
$0.250
Input / 1M
$0.075

Cheapest of 2 routes · Z.ai · cache read $0.015

About

GLM-5.3-Flash is Z.ai's first native multimodal model in the GLM-5 series. It is a 320B-total / 18B-active Mixture-of-Experts model with a 1M-token context window and 131,072 max output tokens, supporting image, video, and file input plus function calling, tool use, structured outputs, reasoning, and prompt caching. MIT open weights are ungated on Hugging Face at zai-org/GLM-5.3-Flash. Official API model ID: glm-5.3-flash. The same model was previously tested anonymously as ox-alpha; that name is not a separate catalog slug.

Provider price ladder

Compare all 2

Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
Z.ai$0.075$0.250read $0.015
Serverless
OpenRouter$0.090$0.300read $0.018
Serverless

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt Caching

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Benchmark scores(9)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
Terminal-Bench 2.184.3Terminal-Bench 2.1Observed 2026-08-26—Source
DeepSWE 1.163.4DeepSWE v1.1Observed 2026-08-26—Source
Toolathlon78.4Toolathlon VerifiedObserved 2026-08-26—Source
Humanity's Last Exam55.3HLE with toolsObserved 2026-08-26—Source
Agents' Last Exam26.3Agents' Last Exam (CLI)Observed 2026-08-26—Source
ARC-AGI-265.8ARC-AGI-2 semi-privateObserved 2026-10-01
Configuration: glm-5.3-flash (Max)
Harness: ARC Prize semi-private evaluation
Evaluator: ARC Prize Foundation
Confidence: confirmed
Notes: ARC Prize official leaderboard data (ARC-AGI-2 semi-private), verified in https://arcprize.org/media/data/leaderboard/v2.json (generatedAt 2026-10-01T18:51Z) for modelDisplayName 'GLM-5.3-Flash (Max)'. Highest-scoring published effort selected. Discovered via Benchmark Heaven / Epoch AI mirror (lead only).
Source
FrontierCode 1.1 Main31.8FrontierCode 1.1 MainObserved 2026-10-05
Configuration: glm-5.3-flash (Max)
Harness: chisel
Evaluator: Cognition
Confidence: confirmed
Notes: Cognition FrontierCode 1.1 Main (100 tasks) mean@5 composite ('new_score'), verified in https://cognition.com/data/frontiercode-leaderboard/data.json (the data file behind https://cognition.com/frontiercode), retrieved 2026-10-05. Agent harness: chisel. Highest-scoring published effort selected; timestamp is retrieval date.
Source
FrontierMath Tier 417.1FrontierMath Tier 4 v2 (private)Observed 2026-08-27
Configuration: glm-5.3-flash (Max)
Harness: Epoch AI FrontierMath Tier 4 v2 private set
Evaluator: Epoch AI
Confidence: confirmed
Notes: Epoch AI-run evaluation (evaluator of record), from Epoch AI Benchmarking Hub data download https://epoch.ai/data/benchmark_data.zip (file frontiermath_tier_4_v2.csv, row 'glm-5.3-flash_max', run started 2026-08-27). Epoch data is CC BY 4.0: credit 'Epoch AI, Capabilities & benchmarking, https://epoch.ai/benchmarks'. Highest-scoring Epoch configuration for this model selected; other configurations exist in the same file. Discovered via Benchmark Heaven (lead only).
Source
Google-Proof Q&A90.2diamondObserved 2026-08-26
Configuration: glm-5.3-flash (Max)
Harness: Epoch AI Inspect harness (GPQA Diamond, 198 Q)
Evaluator: Epoch AI
Confidence: confirmed
Notes: Epoch AI-run evaluation (evaluator of record), from Epoch AI Benchmarking Hub data download https://epoch.ai/data/benchmark_data.zip (file gpqa_diamond.csv, row 'glm-5.3-flash_max', run started 2026-08-26). Epoch data is CC BY 4.0: credit 'Epoch AI, Capabilities & benchmarking, https://epoch.ai/benchmarks'. Highest-scoring Epoch configuration for this model selected; other configurations exist in the same file. Discovered via Benchmark Heaven (lead only).
Source

Migration checks

No linked migration route is available for this model yet.

API versions

glm-5.3-flash

Rankings & picks(1)