GLM 5.3 Flash API Benchmarks, Pricing & Provider Data
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GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-contex...
Category Performance
Observed-capability estimates with uncertainty reported separately from independent benchmark families.
- Coverage
- 2 / 8
- Methodology
- V3.0
#1Reasoning60.7Provisional1/4 Measured dimensions
#2Coding56.5Provisional1/4 Measured dimensions
Specifications
Input and output token limits for this model, plus how it ranks on long-context understanding.
Features
Technical Details
- Input
- Output
- Released
- Aug 2026
- Tokenizer
- Other
- Architecture
- text+image+video->text
- Moderated
- No
- Expiration date
- 2098-12-31
- Supported parameters
- frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Rankings
Excels at
Detailed scores
Updated: Aug 27, 2026Speed & latency
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Output speed41.8 tok/s#68 / 76Time to first token1.16 s#39 / 76
Speed & latency
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Pricing
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Input price$0.150/M#21 / 180Output price$0.500/M#21 / 180
Pricing
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Agents
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No data80% interval30.8–69.20/4 Measured dimensions
Agents
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Coding
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Score56.580% interval40.5–72.41/4 Measured dimensionsSciCode46.1%#43 / 205
Coding
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Reasoning
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Score60.780% interval46.8–74.61/4 Measured dimensionsGPQA91.2%#21 / 212HLE39.9%#27 / 209
Reasoning
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Knowledge
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No data80% interval30.8–69.20/4 Measured dimensions
Knowledge
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Math
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No data80% interval30.8–69.20/4 Measured dimensions
Math
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Multilingual
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No data80% interval30.8–69.20/4 Measured dimensions
Multilingual
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Multimodal
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No data80% interval30.8–69.20/4 Measured dimensions
Multimodal
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Instruction following
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No data80% interval30.8–69.20/4 Measured dimensions
Instruction following
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