Gemini 4 Argon vs GLM-5.3

At a glance

• Capability index

  • Gemini 4 Argon164.6
  • GLM-5.3155.9

  Gemini 4 Argon is 8.7 points higher.

• Price per 1M tokens

  • Gemini 4 Argon$4.00
  • GLM-5.3$2.15

  GLM-5.3 is 46% cheaper.

• Context window

  • Gemini 4 Argon1M tokens
  • GLM-5.31M tokens

  They take in about the same.

• Released

  • Gemini 4 ArgonOct 13, 2026
  • GLM-5.3Aug 14, 2026

  Gemini 4 Argon is 2 months newer.

Where each scores higher

On the 14 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.

9 more tests have results for only one of them; the table below lists every result.

Everything side by side

Comparison of Gemini 4 Argon vs GLM-5.3

Measure	Gemini 4 ArgonGoogle	GLM-5.3Z.ai
Model
Maker	Google	Z.ai
Sold here by	Google	Z.AI
API model ID	gemini-4-argon	glm-5.3
Released	Oct 13, 2026	Aug 14, 2026
Knowledge cutoff	Mar 2026	Not reported
Weights	Closed: hosted access only	Open: downloadable
Developer’s country	United States	China
Hosts selling it	24including Google directly	86including Z.ai directly
Test results
Capability index	164.6 (best of these models)#5 of 277	155.9#30 of 277
Arena text	1525 (best of these models)#1 of 415	1479#28 of 415
LiveBench overall	Not tested	76.1%#33 of 70
Arena WebDev	1678 (best of these models)#9 of 142	1621#23 of 142
Arena coding	1561 (best of these models)#1 of 410	1520#35 of 410
LiveBench coding	Not tested	79.0%#27 of 70
Mock AIME 2024–2025	100.0% (best of these models)#1 of 303	91.1%#71 of 303
FrontierMath Tiers 1–3	86.0% (best of these models)#10 of 117	68.8%#27 of 117
FrontierMath Tier 4	78.0% (best of these models)#15 of 73	29.3%#38 of 73
Arena math	1529 (best of these models)#1 of 400	1496#21 of 400
LiveBench mathematics	Not tested	87.9%#46 of 70
SimpleQA Verified	76.0% (best of these models)#1 of 90	41.0%#46 of 90
CursorBench	52.9% (best of these models)#6 of 71	42.6%#26 of 71
LiveBench agentic coding	Not tested	60.9%#16 of 70
DeepSWE	Not tested	69.0%#16 of 69
Arena creative writing	1516 (best of these models)#2 of 413	1453#35 of 413
Arena instruction following	1528 (best of these models)#1 of 415	1475#26 of 415
LiveBench language	Not tested	79.9%#32 of 70
LiveBench instructions	Not tested	69.3%#34 of 70
LiveBench data analysis	Not tested	70.2%#54 of 70
GPQA Diamond	96.4% (best of these models)#1 of 323	90.9%#35 of 323
Chess puzzles	59.0% (best of these models)#9 of 243	37.0%#46 of 243
Arena hard prompts	1550 (best of these models)#1 of 415	1504#25 of 415
LiveBench reasoning	Not tested	85.8%#36 of 70
Price per million tokens
Input	$2.00	$1.40 (best of these models)
Output	$10.00	$4.40 (best of these models)
Blended, 3 input to 1 output	$4.00	$2.15 (best of these models)
Cached input	$0.10 (best of these models)	$0.26
Writing to the cache	Not reported	Free
Audio input	$2.00	Not reported
The maker’s own price	This listing	This listing
Limits
Context window	1M tokens	1M tokens
Max input	1M tokens	1M tokens
Max output	32.8K tokens	131.1K tokens (best of these models)
Features
Reads	audio, images, PDFs, text and video	text
Produces	text	text
Reasoning	Yeseffort low, medium, high	Yeseffort low, high, max; can be switched off; thinking budget can be set
Tool calling	Yes	Yes
Structured output	Yes, such as JSON	Yes, such as JSON
File attachments	Yes	No
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.