Z.ai (Zhipu), open weights
GLM-5.3-Flash
GLM-5.3-Flash by Z.ai (Zhipu) ranks 41st of 354 ranked models on the Noometry Index as of October 2026, with a score of 51.8. Its strongest category is instruction following, where it ranks 20th. API pricing starts at $0.15 per million input tokens and $0.50 per million output tokens, with a 1M-token context window.
Last verified
Specifications
- Noometry rank
- #41 of 354
- Index score
- 51.8
- Evidence
- Confirmed 40 results
- Provider
- Z.ai (Zhipu)
- Released
- August 20, 2026
- Weights
- Open weights
- Reasoning
- Yes
- Context window
- 1M
- Max output
- 131K
- Input price
- $0.15 / M
- Output price
- $0.50 / M
- Blended price
- $0.24 / M
- Output speed
- Not measured
- Value
- #39 of 219
- Knowledge cutoff
- Unknown
- Input
- text, image, video, pdf
- Hugging Face
- zai-org/GLM-5.3-Flash
Category scores
Each category score combines every public result we have in that category.
- Coding 53.1
- Agentic & Tool Use 34.2
- Reasoning 48.0
- Math 53.3
- Knowledge 58.4
- Multimodal 42.8
- Multilingual 56.0
- Instruction Following 77.5
- Long Context 45.4
- Writing & Preference 65.3
| Category | Score | Rank | Results |
|---|---|---|---|
| Coding | 53.1 | #31 | 7 |
| Agentic & Tool Use | 34.2 | #47 | 2 |
| Reasoning | 48.0 | #42 | 7 |
| Math | 53.3 | #47 | 5 |
| Knowledge | 58.4 | #36 | 2 |
| Multimodal | 42.8 | #27 | 1 |
| Multilingual | 56.0 | #25 | 1 |
| Instruction Following | 77.5 | #20 | 1 |
| Long Context | 45.4 | #39 | 1 |
| Writing & Preference | 65.3 | #50 | 3 |
Strengths and weaknesses
Categories where GLM-5.3-Flash places highest and lowest among the models ranked in each, with its score against that category's median.
Strongest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Instruction Following | 77.5 | +6.3 | #20 of 305, top 7% |
| Multilingual | 56.0 | +8.6 | #25 of 297, top 9% |
| Coding | 53.1 | +14.4 | #31 of 340, top 10% |
Weakest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Agentic & Tool Use | 34.2 | +3.9 | #47 of 154, top 31% |
| Multimodal | 42.8 | +4.3 | #27 of 128, top 22% |
| Writing & Preference | 65.3 | +11.5 | #50 of 312, top 17% |
Closest competitors
The models ranked just above and below GLM-5.3-Flash. When scores are this close, price and speed are often the better way to choose.
| Model | Rank | Score | Blended $/M | Speed | |
|---|---|---|---|---|---|
| Grok 4.7 | #37 | 53.1 | $3 | — | Compare |
| DeepSeek V4.1 Flash | #38 | 52.8 | $0.26 | — | Compare |
| GPT-5.2 Pro | #39 | 52.3 | $57.75 | — | Compare |
| Gemini 3 Flash Preview | #40 | 52.3 | $1.13 | — | Compare |
| Qwen3.7 Max | #42 | 51.5 | $3.75 | — | Compare |
| Qwen3.6 Max Preview | #43 | 51.5 | $2.92 | — | Compare |
| GLM-5.2 | #44 | 51.1 | $2.15 | 23 | Compare |
| GPT-5 | #45 | 50.9 | $3.44 | 2 | Compare |
Sponsored placements are available on pages like this one. Advertise on Noometry
Benchmark results
Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.
Coding
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| DeepSWE | 63.4% | #16 of 29, top 56% | max | Epoch AI | |
| FrontierCode | 31.8% | #25 of 37, top 68% | max | Epoch AI | |
| CursorBench | 31.1% | high | Epoch AI | ||
| CursorBench | 26.9% | low | Epoch AI | ||
| CursorBench | 36.8% | #12 of 14, top 86% | max | Epoch AI | |
| LMArena WebDev | 1609 | #21 of 113, top 19% | LMArena | 2026-10-08 | |
| FrontierSWE | 18.1% | #15 of 18, top 84% | max | Epoch AI | |
| SciCode | 51.6% | #37 of 121, top 31% | Epoch AI | ||
| LMArena Coding | 1508 | #13 of 294, top 5% | LMArena | 2026-10-08 | |
| ALE-Bench | 303.55 | #98 of 105, top 94% | high | Epoch AI |
Agentic & Tool Use
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| APEX-Agents | 52.8% | #22 of 49, top 45% | Epoch AI | ||
| GDP.pdf | 14% | #30 of 36, top 84% | max | Epoch AI |
Reasoning
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| ARC-AGI-2 | 50.1% | high | Epoch AI | ||
| ARC-AGI-2 | 27.9% | low | Epoch AI | ||
| ARC-AGI-2 | 65.8% | #23 of 83, top 28% | max | Epoch AI | |
| ARC-AGI-1 | 71.8% | high | Epoch AI | ||
| ARC-AGI-1 | 47% | low | Epoch AI | ||
| ARC-AGI-1 | 91% | #24 of 83, top 29% | max | Epoch AI | |
| CritPt | 15.4% | #35 of 134, top 27% | Epoch AI | ||
| Chess Puzzles | 14% | #70 of 129, top 55% | max | Epoch AI | 2026-08-26 |
| LMArena Hard Prompts | 1491 | #15 of 297, top 6% | LMArena | 2026-10-08 | |
| Mystery Game Puzzles | 8% | #64 of 74, top 87% | max | Epoch AI | 2026-08-28 |
| Surface Evolver Bench | 52.5% | #14 of 25, top 57% | max | Epoch AI | |
| Bench to the Future 3 | 0.15 | #2 of 10, top 20% | Epoch AI | ||
| Epoch Capabilities Index | 151.88 | #46 of 213, top 22% | Epoch AI | 2026-08-20 |
Math
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | #41 of 81, top 51% | max | Epoch AI | 2026-08-27 |
| FrontierMath Tier 4 | 17.1% | #45 of 63, top 72% | max | Epoch AI | 2026-08-27 |
| OTIS Mock AIME 2024-2025 | 93.9% | #40 of 173, top 24% | max | Epoch AI | 2026-08-26 |
| ProofBench | 21% | #47 of 77, top 62% | max | Epoch AI | |
| LMArena Math | 1500 | #12 of 285, top 5% | LMArena | 2026-10-08 |
Knowledge
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| GPQA Diamond | 90.2% | #38 of 186, top 21% | max | Epoch AI | 2026-08-26 |
| LMArena Expert | 1513 | #15 of 273, top 6% | LMArena | 2026-10-08 |
Multimodal
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Vision | 1296 | #19 of 122, top 16% | LMArena | 2026-10-09 |
Multilingual
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Non-English | 1462 | #25 of 297, top 9% | LMArena | 2026-10-08 | |
| LMArena Chinese | 1527 | #20 of 285, top 8% | LMArena | 2026-10-08 | |
| LMArena French | 1496 | #15 of 223, top 7% | LMArena | 2026-10-08 | |
| LMArena German | 1470 | #28 of 231, top 13% | LMArena | 2026-10-08 | |
| LMArena Japanese | 1429 | #32 of 211, top 16% | LMArena | 2026-10-08 | |
| LMArena Korean | 1446 | #21 of 213, top 10% | LMArena | 2026-10-08 | |
| LMArena Russian | 1469 | #27 of 283, top 10% | LMArena | 2026-10-08 | |
| LMArena Spanish | 1471 | #22 of 226, top 10% | LMArena | 2026-10-08 |
Instruction Following
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Instruction Following | 1478 | #17 of 298, top 6% | LMArena | 2026-10-08 |
Long Context
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Longer Query | 1482 | #21 of 291, top 8% | LMArena | 2026-10-08 |
Writing & Preference
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Text | 1471 | #25 of 297, top 9% | LMArena | 2026-10-08 | |
| LMArena Creative Writing | 1442 | #33 of 295, top 12% | LMArena | 2026-10-08 | |
| LMArena Multi-Turn | 1467 | #33 of 295, top 12% | LMArena | 2026-10-08 |
API pricing by provider
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
|---|---|---|---|---|
| deepinfra | $0.15 | $0.50 | $0.03 | 2026-10-10 |
| fireworks | $0.15 | $0.50 | $0.03 | 2026-10-10 |
| openrouter | $0.15 | $0.50 | $0.03 | 2026-10-10 |
| together | $0.15 | $0.50 | $0.03 | 2026-10-10 |
| zai | $0.15 | $0.50 | $0.03 | 2026-10-10 |
Compare GLM-5.3-Flash
- GLM-5.3-Flash vs GLM-4.7-Flash
- GLM-5.3-Flash vs Gemini 3 Flash Preview
- GLM-5.3-Flash vs Qwen3.7 Max
- GLM-5.3-Flash vs GPT-5.2 Pro
- GLM-5.3-Flash vs Qwen3.6 Max Preview
- GLM-5.3-Flash vs DeepSeek V4.1 Flash
- GLM-5.3-Flash vs GLM-5.2
- GLM-5.3-Flash vs GPT-6 Astra
- GLM-5.3-Flash vs Claude Fable 5.1
- GLM-5.3-Flash vs Gemini 3.8 Flash
- GLM-5.3-Flash vs Kimi K3
- GLM-5.3-Flash vs Grok 4.6
- GLM-5.3-Flash vs Qwen3.8 Max
- GLM-5.3-Flash vs Muse Spark 1.3
Frequently asked questions
How good is GLM-5.3-Flash?
GLM-5.3-Flash by Z.ai (Zhipu) ranks 41st of 354 ranked models on the Noometry Index as of October 2026, with a score of 51.8. Its strongest category is instruction following, where it ranks 20th. API pricing starts at $0.15 per million input tokens and $0.50 per million output tokens, with a 1M-token context window.
How much does GLM-5.3-Flash cost?
GLM-5.3-Flash costs $0.15 per million input tokens and $0.50 per million output tokens on Z.ai (Zhipu)'s own API, with cached input at $0.03.
What is GLM-5.3-Flash's context window?
GLM-5.3-Flash accepts up to 1M tokens of input and can write up to 131K tokens in one response.
Is GLM-5.3-Flash open source?
Yes. GLM-5.3-Flash's weights are downloadable from Hugging Face (zai-org/GLM-5.3-Flash); check the license for commercial terms.
What are GLM-5.3-Flash's strengths and weaknesses?
Relative to other ranked models, GLM-5.3-Flash places best in instruction following, multilingual, coding and lowest in agentic & tool use, multimodal, writing & preference.
What is GLM-5.3-Flash best at?
Its best category is instruction following, where it ranks 20th on Noometry.