GLM-5.3 vs Grok 4.6

At a glance

• Capability index

  • GLM-5.3155.6
  • Grok 4.6156.4

  Grok 4.6 is 0.8 points higher.

• Price per 1M tokens

  • GLM-5.3$2.15
  • Grok 4.6$3.00

  GLM-5.3 is 28% cheaper.

• Context window

  • GLM-5.31M tokens
  • Grok 4.6500K tokens

  GLM-5.3 takes in 2.0 times as much.

• Released

  • GLM-5.3Aug 14, 2026
  • Grok 4.6Aug 12, 2026

  GLM-5.3 is 2 days newer.

Where each scores higher

On the 23 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.

Everything side by side

Comparison of GLM-5.3 vs Grok 4.6

Measure	GLM-5.3Z.ai	Grok 4.6xAI
Model
Maker	Z.ai	xAI
Sold here by	Z.AI	xAI
API model ID	glm-5.3	grok-4.6
Released	Aug 14, 2026	Aug 12, 2026
Knowledge cutoff	Not reported	Feb 1, 2026
Weights	Open: downloadable	Closed: hosted access only
Developer’s country	China	United States
Hosts selling it	75including Z.ai directly	35including xAI directly
Test results
Capability index	155.6#27 of 274	156.4 (best of these models)#21 of 274
LiveBench overall	76.1%#32 of 66	78.0% (best of these models)#18 of 66
Arena text	1479 (best of these models)#27 of 413	1454#73 of 413
LiveBench coding	79.0% (best of these models)#26 of 66	76.8%#42 of 66
Arena WebDev	1623 (best of these models)#20 of 138	1620#23 of 138
Arena coding	1521 (best of these models)#34 of 408	1507#64 of 408
LiveBench mathematics	87.9%#43 of 66	92.6% (best of these models)#25 of 66
Mock AIME 2024–2025	91.1%#65 of 297	99.2% (best of these models)#15 of 297
FrontierMath Tiers 1–3	68.8% (best of these models)#25 of 114	66.0%#28 of 114
FrontierMath Tier 4	29.3%#36 of 70	31.7% (best of these models)#33 of 70
Arena math	1494 (best of these models)#20 of 396	1448#78 of 396
SimpleQA Verified	41.0%#44 of 86	49.3% (best of these models)#27 of 86
LiveBench agentic coding	60.9% (best of these models)#15 of 66	57.0%#22 of 66
DeepSWE	69.0% (best of these models)#16 of 69	67.5%#20 of 69
CursorBench	42.6% (best of these models)#20 of 62	41.4%#24 of 62
LiveBench language	79.9%#31 of 66	83.7% (best of these models)#19 of 66
LiveBench instructions	69.3%#33 of 66	71.9% (best of these models)#20 of 66
Arena creative writing	1454 (best of these models)#34 of 411	1445#52 of 411
Arena instruction following	1476 (best of these models)#25 of 413	1451#63 of 413
LiveBench data analysis	70.2%#51 of 66	73.9% (best of these models)#40 of 66
LiveBench reasoning	85.8%#35 of 66	90.5% (best of these models)#12 of 66
GPQA Diamond	90.9%#34 of 319	94.0% (best of these models)#11 of 319
Chess puzzles	21.0%#80 of 227	40.0% (best of these models)#24 of 227
Arena hard prompts	1503 (best of these models)#25 of 413	1479#67 of 413
Price per million tokens
Input	$1.40 (best of these models)	$2.00
Output	$4.40 (best of these models)	$6.00
Blended, 3 input to 1 output	$2.15 (best of these models)	$3.00
Cached input	$0.26 (best of these models)	$0.50
Writing to the cache	Free	Not reported
Long requests	No separate price reported	$4.00 in, $12.00 outabove 200K tokens
The maker’s own price	This listing	This listing
Limits
Context window	1M tokens (best of these models)	500K tokens
Max input	1M tokens (best of these models)	372K tokens
Max output	131.1K tokens	500K tokens (best of these models)
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
Tool calling	Yes	Yes
Structured output	Yes, such as JSON	Yes, such as JSON
File attachments	No	Yes
Temperature setting	Supported	Supported

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.