Comparing 2 models
GPT-6 Astra vs GLM 5.3 Flash
Benchmarks through
Verdict
GPT-6 Astra places higher on 4 of the 6 tasks where both are ranked. GLM 5.3 Flash costs 411.5x less per input token. GPT-6 Astra accepts 1.0x more context. Only GLM 5.3 Flash has open weights for self-hosting.
- Choose GPT-6 Astra for OpenClaw (#5), Goose (#5), OpenHands (#5).
- Choose GLM 5.3 Flash for JSON & Schema Output (#3), Structured Data Extraction (#3), you need to self-host.
Built from the published task rankings below; ranks come from each task's own weighted benchmarks, so a win on one task says nothing about another.
Measured head to head
Benchmarks both models were run on
| Evaluation | GPT-6 Astra | GLM 5.3 Flash | Source |
|---|---|---|---|
| FrontierMath Tiers 1-3 (Epoch AI) | 93.7% ± 1.4 | 55.8% ± 2.9 | source · 2026-08-30 |
| GPQA Diamond (Epoch AI) | 95.8% ± 1.4 | 90.2% ± 1.7 | source · 2026-08-30 |
| LiveBench Agentic Coding | 57.3% | 56.8% | source · 2026-10-16 |
| LiveBench Coding | 80.4% | 79.0% | source · 2026-10-16 |
| LiveBench Data Analysis | 83.0% | 76.4% | source · 2026-10-16 |
| LiveBench Instruction Following | 75.6% | 52.8% | source · 2026-10-16 |
| LiveBench Language | 89.4% | 77.3% | source · 2026-10-16 |
| LiveBench Math | 96.8% | 81.2% | source · 2026-10-16 |
| LiveBench Reasoning | 92.7% | 77.6% | source · 2026-10-16 |
| LMArena Agent | 13.7 | -1.1 | source · 2026-10-14 |
| LMArena Agent Bash Recovery | 5.5 | -5.7 | source · 2026-10-08 |
| LMArena Agent Steerability | 14.6 | -3 | source · 2026-10-14 |
| LMArena Agent Task Outcome | 12.5 | 3.9 | source · 2026-10-14 |
| LMArena Agent Tool Hallucination | 0.6 | 0.6 | source · 2026-10-14 |
| LMArena Creative Writing | 1421 Elo | 1441 Elo | source · 2026-10-15 |
| LMArena Instruction Following | 1455 Elo | 1478 Elo | source · 2026-10-15 |
| LMArena Long Query | 1461 Elo | 1482 Elo | source · 2026-10-15 |
| LMArena Math | 1465 Elo | 1505 Elo | source · 2026-10-15 |
| LMArena Text | 1477 Elo | 1474 Elo | source · 2026-10-15 |
| LMArena Text Factuality | 1466 Elo | 1463 Elo | source · 2026-10-15 |
| LMArena Vision | 1286 Elo | 1273 Elo | source · 2026-10-09 |
| LMArena Vision Diagrams | 1311 Elo | 1306 Elo | source · 2026-10-09 |
| LMArena Vision OCR | 1302 Elo | 1284 Elo | source · 2026-10-09 |
| LMArena WebDev | 1780 Elo | 1606 Elo | source · 2026-10-13 |
| LMArena WebDev Image-to-Web | 1731 Elo | 1581 Elo | source · 2026-10-09 |
| OTIS Mock AIME (Epoch AI) | 100% ± 0 | 93.9% ± 2.2 | source · 2026-08-30 |
| Terminal-Bench (4.0) | 58.2% | 35.8% | source · 2026-10-16 |
Values are as published by each evaluator, in its own units; rows from different evaluators are not on a common scale.
task evidence
How they place when the question changes
Lower ranks are better. “Best” marks the strongest option in this shortlist for that task.