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GLM-5.3 vs GPT-6 Astra
GPT-6 Astra scores higher than GLM-5.3 on all 6 public leaderboards that rate both. On the ArtificialWatch Index, which takes the median of each model's percentile across the boards that score it, GLM-5.3 is at 42.4 and GPT-6 Astra at 91.5 (out of 100).
Scores as published by each board; table composed September 25, 2026.
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Leaderboard by leaderboard
| Board | GLM-5.3 | GPT-6 Astra | Higher |
|---|---|---|---|
| LMArena Elo (community votes) | 1,621.8 | 1,792.2 | GPT-6 Astra |
| LiveBench global average (0-100) | 76.1 | 82.2 | GPT-6 Astra |
| SimpleBench AVG@5 % (private set) | 66.2 | 86.5 | GPT-6 Astra |
| LLM Stats LLM Stats Score · composite (0-100), their rendered top 15 | 52.1 | 59.5 | GPT-6 Astra |
| Vals AI Vals Index accuracy % · weighted finance + coding tasks | 57 | 66.6 | GPT-6 Astra |
| Artificial Analysis intelligence index · measured runs only | 44.8 | 52.7 | GPT-6 Astra |
Raw scores are each board's own scale, so compare within a row, not across rows. Full table: the bench index.
GLM-5.3 at a glance
- Developer
- Zhipu AI
- Status
- Live since August 14, 2026
- API price
- $1.40 input / $4.40 output per 1M tokens · Z.AI, glm-5.3
- Context window
- 1M tokens
Live - same 743B base as 5.2, every gain from post-training · tops CyberGym · open weights on Hugging Face (zai-org/GLM-5.3, 141 safetensors files, public when we read it Sep 25; repo created Aug 25).
GLM-5.3 tops CyberGym and trails the frontier on exploitation — and we missed it because the sweep had no eyes on models.dev
2026-08-14 · Z.ai shipped GLM-5.3 today, and we did not catch it. The entry was armed and the pattern was right — the sweep simply had no source that carried the id. That is now fixed, and the fix is the more useful half of this post.
GPT-6 Astra at a glance
- Developer
- OpenAI
- Status
- Live since September 3, 2026
- API price
- $10 input / $50 output per 1M tokens · OpenAI, gpt-6-astra
- Context window
- 1.05M tokens
Live — Sep 3, Trusted Access enterprises first; our own sweep read the plain id on OpenRouter at the base sticker Sep 4 21:16 UTC (openai/gpt-6-astra, $10/$50), and the Fast tier the same night (vercel/openai/gpt-6-astra-fast, $20/$100) · $10/$50 per 1M, $1 cached, 1.05M ctx / 128K out · AA Coding Agent Index 67 (≈ Opus 5, Fable 5), Intelligence Index 61 (= GPT-5.6 Sol, 5 below Fable 5.1).
GPT-6 Astra is out — Fable 5.1's sticker, trusted access first, public API within days
2026-09-03 · OpenAI shipped GPT-6 Astra today. Its own words, from the model documentation: "Our most capable model, built for the hardest end-to-end work" — complex reasoning, coding, computer use, research and document creation.
OpenAI is treating Astra as its first Critical cyber model — and slowing it down, 24 hours after the leaks said next week
2026-08-07 · Twenty-four hours ago both accounts we track said Astra was launching next week. Today OpenAI published that it is slowing the model down, and the reason outranks any launch calendar.
GLM-5.3 vs GPT-6 Astra: quick answers
Which is better, GLM-5.3 or GPT-6 Astra?
It depends on what you measure. GPT-6 Astra scores higher than GLM-5.3 on all 6 public leaderboards that rate both. GPT-6 Astra's widest lead is on LLM Stats. On the ArtificialWatch Index, which takes the median of each model's percentile across the boards that score it, GLM-5.3 is at 42.4 and GPT-6 Astra at 91.5 (out of 100).
Which is newer, GLM-5.3 or GPT-6 Astra?
GPT-6 Astra. It went live on September 3, 2026, 20 days after GLM-5.3 (August 14, 2026).
Which is cheaper, GLM-5.3 or GPT-6 Astra?
GLM-5.3 is cheaper on both input and output. On each vendor's own API, GLM-5.3 is $1.40 input / $4.40 output per million tokens and GPT-6 Astra is $10 input / $50 output per million tokens. GPT-6 Astra's rate rises for prompts over 272K tokens. Prices as published in the models.dev catalog, as of 2026-09-25.
Which has the bigger context window, GLM-5.3 or GPT-6 Astra?
GPT-6 Astra, at 1.05M tokens against GLM-5.3's 1M, as each vendor lists it.
Who makes GLM-5.3 and GPT-6 Astra?
GLM-5.3 is from Zhipu AI; GPT-6 Astra is from OpenAI.
Where do these numbers come from?
Each score is the leaderboard's own published figure, read by ArtificialWatch (table composed September 25, 2026). Boards measure different things, so raw scores are only comparable within a row.
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Also: the bench index · API pricing · the wire