GLM-5.3-Flash: Price, Context, Benchmarks, and Release Details
66.2
SI Score (method si-v2-absolute-shrinkage-1)
#28 of 115 ranked
100% confidence 100 percent, Full confidence — 6 of 7 expected sources in
Coverage 87% of expected source weight · 100% confidence at 80% coverage
Pillar breakdown
Coding (weight 40 percent) 62.0
Math (weight 15 percent) 65.6
Preference (weight 15 percent) 79.4
Reasoning (weight 30 percent) 73.3
Pillar weights: reasoning 30% · math 15% · coding 40% · preference 15%. Benchmark results use fixed 0–100 scales before averaging; incomplete evidence is shrunk toward 50.
Facts
- Input price / 1M
- not yet reported
- Output price / 1M
- not yet reported
- Context window
- 1Mmodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - Max output
- 131Kmodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - Released
- Aug 26, 2026models.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - Open weights
- Yesmodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - License
- not yet reported
- Input modalities
- text, image, video, pdfmodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - Popularity rank
- #3 by usageOpenRouter rankingsPublished source fact; tokens processed; page default period; excludes catalog and endpoint statistics
Retrieved Oct 8, 2026 · CC-BY-4.0
Open source ↗
Benchmark results
36 results| Benchmark | Raw result | Normalized (0–100) | Pillar |
|---|---|---|---|
| arc agi v1 public eval | 78.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort. [variant] zai-glm-5-3-flash-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 78.6 | reasoning |
| arc agi v1 public eval | 57.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort. [variant] zai-glm-5-3-flash-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 57.8 | reasoning |
| arc agi v1 public eval | 92.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort. [variant] zai-glm-5-3-flash-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 92.5 | reasoning |
| arc agi v1 semi private | 71.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort. [variant] zai-glm-5-3-flash-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 71.8 | reasoning |
| arc agi v1 semi private | 47.0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort. [variant] zai-glm-5-3-flash-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 47.0 | reasoning |
| arc agi v1 semi private | 91%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort. [variant] zai-glm-5-3-flash-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 91.0 | reasoning |
| arc agi v2 public eval | 51.9%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort. [variant] zai-glm-5-3-flash-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 51.9 | reasoning |
| arc agi v2 public eval | 25.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort. [variant] zai-glm-5-3-flash-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 25.7 | reasoning |
| arc agi v2 public eval | 66.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort. [variant] zai-glm-5-3-flash-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 66.8 | reasoning |
| arc agi v2 semi private | 50.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort. [variant] zai-glm-5-3-flash-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 50.1 | reasoning |
| arc agi v2 semi private | 27.9%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort. [variant] zai-glm-5-3-flash-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 27.9 | reasoning |
| arc agi v2 semi private | 65.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort. [variant] zai-glm-5-3-flash-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 65.8 | reasoning |
| frontiermath tier 4 v2 | 17.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Aug 27, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 17.1 | math |
| frontiermath tiers 1 3 v2 | 55.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Aug 27, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 55.8 | math |
| gpqa diamond | 90.2%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Aug 26, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 90.2 | reasoning |
| hle full set tools | 55.3%Official model cards via models.devLab-reported; metric accuracy; transcribed by MIT models.dev catalog; not independently evaluated [variant] max effort; with tools; full set
Retrieved Oct 8, 2026 · factual citation; MIT transcription Open source ↗ | 55.3 | reasoning |
| livebench coding code completion 2026_06_25 | 80.4%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 80.4 | coding |
| livebench coding code generation 2026_06_25 | 77.5%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 77.5 | coding |
| livebench coding javascript 2026_06_25 | 63.6%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 63.6 | coding |
| livebench coding python 2026_06_25 | 60%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 60.0 | coding |
| livebench coding typescript 2026_06_25 | 46.7%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 46.7 | coding |
| livebench math amps hard 2026_06_25 | 97%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 97.0 | math |
| livebench math integrals with game 2026_06_25 | 45%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 45.0 | math |
| livebench math math comp 2026_06_25 | 93.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 93.1 | math |
| livebench math olympiad 2026_06_25 | 89.8%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 89.8 | math |
| livebench math simplify 2026_06_25 | 47.0%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 47.0 | math |
| livebench reasoning connections 2026_06_25 | 93.7%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 93.7 | reasoning |
| livebench reasoning consecutive events 2026_06_25 | 84.3%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 84.3 | reasoning |
| livebench reasoning logic with navigation 2026_06_25 | 62%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 62.0 | reasoning |
| livebench reasoning spatial 2026_06_25 | 96%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 96.0 | reasoning |
| livebench reasoning theory of mind 2026_06_25 | 73.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 73.1 | reasoning |
| livebench reasoning zebra puzzle 2026_06_25 | 79.5%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 79.5 | reasoning |
| lmarena text | 1469.6 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 2, 2026
Retrieved Oct 8, 2026 · CC-BY-4.0 Open source ↗ | 79.4 | preference |
| otis mock aime 2024 2025 | 93.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Aug 26, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 93.9 | math |
| terminal bench v2 1 | 84.3%Official model cards via models.devLab-reported; metric pass@1; transcribed by MIT models.dev catalog; not independently evaluated [variant] max effort; Claude Code 2.1.207; 2.1
Retrieved Oct 8, 2026 · factual citation; MIT transcription Open source ↗ | 84.3 | coding |
| terminal bench v4 0 | 35.8%Terminal-BenchTerminal-Bench 4.0; published harness submission, 95% CI retained at source [variant] Claude Code; nonePublished Oct 6, 2026
Retrieved Oct 8, 2026 · Apache-2.0; factual citation Open source ↗ | 35.8 | coding |
Normalization uses fixed absolute 0–100 scales for each unit, independently of other models that have a result on each benchmark. Coverage and evidence breadth still affect the composite; compare the evaluation conditions before reading a small score gap as decisive. “lab-reported” marks the provider's own published figure.
Sources: in and pending
in Reported (6)
- ARC Prize · arrived Oct 8, 2026
- Epoch AI Benchmarking · arrived Oct 8, 2026
- Official model cards via models.dev · arrived Oct 8, 2026
- LiveBench · arrived Oct 8, 2026
- LMArena / Arena · arrived Oct 8, 2026
- Terminal-Bench · arrived Oct 8, 2026
pending Awaiting (1)
- Humanity’s Last Exam · carries 13% of expected weight
The confidence % rises as pending sources publish. Some sources never cover some models — that is why 100% confidence arrives at 80% of expected weight, not at full coverage.