Z.ai: GLM 5.2 (batch)
Z.ai's GLM 5.2 (batch) is designed for text handling with an impressive context length of up to 512,000 tokens and supports tools and reasoning. While it does not offer structured output, its capabilities in text processing are robust. This model stands out with a blended benchmark score of 89.3 across four independent benchmarks, making it a strong contender. For those prioritizing cost-effectiveness, GLM 5.2 offers a pricing structure of $0.7 per million input tokens and $2.2 per million output tokens, though its high price point may limit its appeal for frequent or extensive use. Given its solid performance across various benchmarks, it is particularly suitable for projects requiring advanced text processing and reasoning abilities.
Benchmark results
Independent, published benchmarks. Blended score 89.3 across 4 benchmarks, last refreshed 2026-08-13. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 86.9 |
| AI Index Coding | software engineering tasks | 100.0 |
| AI Index Agentic | multi-step tool-using tasks | 75.4 |
| EQ-Bench | emotional understanding in dialogue | 78.7 |
- Model ID
- z-ai/glm-5.2:batch
- Vendor
- z-ai
- Released
- June 2026
- Tokenizer
- Other
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- default
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- text only
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.70/M input and $2.20/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.02 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.46 |
| A month of a busy support chatbot | 5M in / 2M out | $7.90 |
Strong choice for
Short-Form Summarization
Email Drafting
Language Learning
Meeting Notes
Chat Companion
Trivia & General Knowledge
Category rankings
Where Z.ai: GLM 5.2 (batch) places across the 61 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #3 | Short-Form SummarizationWriting · of 25 ranked | 132 |
| #3 | Email DraftingWriting · of 25 ranked | 128 |
| #3 | Language LearningEducation · of 25 ranked | 128 |
| #3 | Chat CompanionPersonal · of 25 ranked | 132 |
| #4 | Meeting NotesBusiness · of 25 ranked | 158 |
| #4 | Trivia & General KnowledgePersonal · of 25 ranked | 122 |
| #6 | Code CompletionCode · of 25 ranked | 134 |
| #6 | Code DocumentationCode · of 25 ranked | 148 |
| #6 | Regex WritingCode · of 25 ranked | 138 |
| #6 | Language TranslationWriting · of 25 ranked | 138 |
| #6 | Transcript CleanupWriting · of 25 ranked | 146 |
| #6 | Tutoring for KidsPersonal · of 25 ranked | 138 |
| #9 | CSV / Spreadsheet CleanupData · of 25 ranked | 157 |
| #9 | Long-Document SummarizationWriting · of 25 ranked | 168 |
| #9 | Blog Post WritingWriting · of 25 ranked | 144 |
| #9 | History TutoringEducation · of 25 ranked | 151 |
| #9 | Sales / Cold EmailBusiness · of 25 ranked | 124 |
| #9 | Job Application DraftingBusiness · of 25 ranked | 124 |
| #9 | Character RoleplayPersonal · of 25 ranked | 156 |
| #9 | Journaling HelperPersonal · of 25 ranked | 124 |
| #9 | Recipe GenerationPersonal · of 25 ranked | 124 |
| #9 | Trip PlanningPersonal · of 25 ranked | 144 |
| #10 | Unit Test GenerationCode · of 25 ranked | 158 |
| #10 | CI/CD PipelinesCode · of 25 ranked | 148 |
| #10 | ETL ScriptingData · of 25 ranked | 160 |
| #10 | Medical Note SummarizationProfessional · of 25 ranked | 160 |
| #10 | Long-Context Q&AAgents · of 25 ranked | 163 |
| #11 | SQL GenerationCode · of 25 ranked | 175 |
| #11 | Code ReviewCode · of 25 ranked | 175 |
| #11 | Code RefactoringCode · of 25 ranked | 172 |
| #11 | Bug FixingCode · of 25 ranked | 188 |
| #11 | Marketing CopyWriting · of 25 ranked | 132 |
| #11 | Creative WritingWriting · of 25 ranked | 165 |
| #11 | Screenwriting & DialogWriting · of 25 ranked | 165 |
| #11 | Academic WritingWriting · of 25 ranked | 165 |
| #11 | Legal DraftingProfessional · of 25 ranked | 165 |
| #11 | Legal ResearchProfessional · of 25 ranked | 177 |
| #11 | Contract ReviewProfessional · of 25 ranked | 187 |
| #11 | Scientific ResearchProfessional · of 25 ranked | 177 |
| #11 | Physics TutoringEducation · of 25 ranked | 153 |
| #11 | Essay GradingEducation · of 25 ranked | 175 |
| #11 | Standardized Test PrepEducation · of 25 ranked | 132 |
| #11 | RFP ResponseBusiness · of 25 ranked | 182 |
| #11 | OKRs & Strategic PlanningBusiness · of 25 ranked | 165 |
| #11 | RAG PipelinesAgents · of 25 ranked | 172 |
| #11 | Fiction CollaboratorPersonal · of 25 ranked | 177 |
| #11 | Math ProofsResearch · of 25 ranked | 165 |
| #11 | Scientific CodingResearch · of 25 ranked | 188 |
| #11 | Literature ReviewResearch · of 25 ranked | 177 |
| #13 | JSON ExtractionData · of 25 ranked | 147 |
| #14 | Customer SupportBusiness · of 25 ranked | 133 |
| #14 | Agent WorkflowsAgents · of 25 ranked | 199 |
| #14 | Coding AgentsAgents · of 25 ranked | 199 |
| #15 | Math TutoringEducation · of 25 ranked | 150 |
| #15 | Fitness CoachingPersonal · of 25 ranked | 136 |
| #16 | Data AnalysisData · of 25 ranked | 173 |
| #16 | Financial AnalysisProfessional · of 25 ranked | 162 |
| #16 | Experiment DesignResearch · of 25 ranked | 160 |
| #18 | Resume WritingBusiness · of 25 ranked | 118 |
| #19 | Dataset AnnotationResearch · of 25 ranked | 143 |
| #21 | SOP / Process DocsBusiness · of 25 ranked | 137 |
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Quick answers
- How much does Z.ai: GLM 5.2 (batch) cost?
- $0.70 per million input tokens and $2.20 per million output tokens.
- What is Z.ai: GLM 5.2 (batch)'s context window?
- 512,000 tokens, roughly 768 pages of text in a single request.
- Does Z.ai: GLM 5.2 (batch) support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can Z.ai: GLM 5.2 (batch) process images?
- No, it is text-only on the input side.