GLM-5.3 vs GPT-6 Astra

At a glance

• Capability index

  • GLM-5.3155.6
  • GPT-6 Astra166.4

  GPT-6 Astra is 10.8 points higher.

• Price per 1M tokens

  • GLM-5.3$2.15
  • GPT-6 Astra$20.00

  GLM-5.3 is 9.3 times cheaper.

• Context window

  • GLM-5.31M tokens
  • GPT-6 Astra1.1M tokens

  GPT-6 Astra takes in 5% more.

• Released

  • GLM-5.3Aug 14, 2026
  • GPT-6 AstraSep 4, 2026

  GPT-6 Astra is 21 days newer.

Where each scores higher

On the 22 tests both have taken, each on its own scale. A gap of a point or two can sit within a test’s margin of error.

1 more test has results for only one of them; the table below lists every result.

Everything side by side

Comparison of GLM-5.3 vs GPT-6 Astra

Measure	GLM-5.3Z.ai	GPT-6 AstraOpenAI
Model
Maker	Z.ai	OpenAI
Sold here by	Z.AI	OpenAI
API model ID	glm-5.3	gpt-6-astra
Released	Aug 14, 2026	Sep 4, 2026
Knowledge cutoff	Not reported	Apr 30, 2026
Weights	Open: downloadable	Closed: hosted access only
Developer’s country	China	United States
Hosts selling it	75including Z.ai directly	29including OpenAI directly
Training compute	Not published	1.0 × 10²⁷ FLOPEpoch AI estimate
Test results
Capability index	155.6#27 of 274	166.4 (best of these models)#2 of 274
LiveBench overall	76.1%#32 of 66	82.2% (best of these models)#4 of 66
Arena text	1479 (best of these models)#27 of 413	1477#29 of 413
LiveBench coding	79.0%#26 of 66	80.4% (best of these models)#20 of 66
Arena WebDev	1623#20 of 138	1788 (best of these models)#2 of 138
Arena coding	1521#34 of 408	1543 (best of these models)#7 of 408
LiveBench mathematics	87.9%#43 of 66	96.8% (best of these models)#4 of 66
Mock AIME 2024–2025	91.1%#65 of 297	100.0% (best of these models)#1 of 297
FrontierMath Tiers 1–3	68.8%#25 of 114	93.7% (best of these models)#1 of 114
FrontierMath Tier 4	29.3%#36 of 70	97.6% (best of these models)#2 of 70
Arena math	1494 (best of these models)#20 of 396	1490#27 of 396
SimpleQA Verified	41.0%#44 of 86	75.6% (best of these models)#1 of 86
LiveBench agentic coding	60.9% (best of these models)#15 of 66	57.3%#21 of 66
DeepSWE	69.0%#16 of 69	74.1% (best of these models)#1 of 69
CursorBench	42.6%#20 of 62	Not tested
LiveBench language	79.9%#31 of 66	89.4% (best of these models)#4 of 66
LiveBench instructions	69.3%#33 of 66	75.6% (best of these models)#8 of 66
Arena creative writing	1454 (best of these models)#34 of 411	1449#39 of 411
Arena instruction following	1476 (best of these models)#25 of 413	1474#30 of 413
LiveBench data analysis	70.2%#51 of 66	83.0% (best of these models)#1 of 66
LiveBench reasoning	85.8%#35 of 66	92.7% (best of these models)#1 of 66
GPQA Diamond	90.9%#34 of 319	95.8% (best of these models)#1 of 319
Chess puzzles	21.0%#80 of 227	72.0% (best of these models)#1 of 227
Arena hard prompts	1503 (best of these models)#25 of 413	1502#30 of 413
Price per million tokens
Input	$1.40 (best of these models)	$10.00
Output	$4.40 (best of these models)	$50.00
Blended, 3 input to 1 output	$2.15 (best of these models)	$20.00
Cached input	$0.26 (best of these models)	$1.00
Writing to the cache	Free (best of these models)	$12.50
Long requests	No separate price reported	$20.00 in, $75.00 outabove 272K tokens
The maker’s own price	This listing	This listing
Limits
Context window	1M tokens	1.1M tokens (best of these models)
Max input	1M tokens (best of these models)	922K tokens
Max output	131.1K tokens (best of these models)	128K tokens
Features
Reads	text	images, PDFs and text
Produces	text	text
Reasoning	Yeseffort low, high, max; can be switched off; thinking budget can be set	Yeseffort low, medium, high, xhigh, max
Tool calling	Yes	Yes
Structured output	Yes, such as JSON	Yes, such as JSON
File attachments	No	Yes
Temperature setting	Supported	Fixed by the provider

Bold marks the better value in each row. Prices are each model’s own list price, or the middle price across hosts when the maker does not sell it, blended as three input tokens for every output token. Test results as published by LiveBench (Apache-2.0), Epoch AI (CC BY 4.0), Datacurve DeepSWE, compiled by Epoch AI (CC BY 4.0), Cursor CursorBench, compiled by Epoch AI (CC BY 4.0), Arena (CC BY 4.0); model details and prices from models.dev (MIT). Confirm pricing with the provider before use.