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Gemini 4 Argon vs GLM 4.7

Gemini 4 Argon leads GLM 4.7 on coding, 81.0 to 55.1 on the Vibe Coding Index, and GLM 4.7 costs 4.5x less per output token ($2.20 vs $10.00 per million). Updated October 21, 2026; 46 benchmarks have a result for both.

Replace Gemini 4 Argon Replace GLM 4.7
Gemini 4 ArgonGoogle
Coding
81.0
Overall
84.0
Output $/M
$10.00
46
GLM 4.7Z.ai
Coding
55.1
Overall
56.9
Output $/M
$2.20
0
vs boards won of 46 shared

Gemini 4 Argon or GLM 4.7: which to pick

Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 55.1 for GLM 4.7.

Pick GLM 4.7 for output tokens 4.5x cheaper ($2.20 vs $10.00 per million).

Model AGemini 4 ArgonGoogle81.0/1005 independent benchmarksNo cost per solved taskModel BGLM 4.7Z.ai55.1/1002 independent benchmarks$0.29 per solved task
Shared results
46
Gemini 4 Argon only
47
GLM 4.7 only
35
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 4 Argon 81.0 from 5 benchmarks, GLM 4.7 55.1 from 2 benchmarks.
Widest category
Agentic work, 70.9 points apart on average over 1 shared benchmark.
Widest single gap
ProofBench: Gemini 4 Argon 99.0% against GLM 4.7 6.0%, 93.0 points apart on a 0 to 100 scale.
Output price
Gemini 4 Argon $10.00 against GLM 4.7 $2.20 per million output tokens, 4.5x apart.
Context window
Gemini 4 Argon takes 1.05M tokens, GLM 4.7 205K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemini 4 ArgonBarsGLM 4.7Ties
Coding60
Intelligence20
Agentic work10
Reasoning60
Math40
Knowledge70
Web design60
General140
All shared boards460
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Gemini 4 Argon and GLM 4.7
BenchmarkGemini 4 ArgonGLM 4.7Leader
LiveBench coding89.7%Not measuredOnly Gemini 4 Argon measured
LMArena WebDev16781435Gemini 4 Argon
AA Coding IndexNot measured45.3Only GLM 4.7 measured
LiveCodeBench (Vals AI)Not measured82.2%Only GLM 4.7 measured
SWE-bench Verified (Vals AI)Not measured69.4%Only GLM 4.7 measured
Terminal-Bench 4 (Vals AI)57.6%Not measuredOnly Gemini 4 Argon measured
Vibe Code Bench (Vals AI)91.9%Not measuredOnly Gemini 4 Argon measured
Code migration (Vals AI)68.2%Not measuredOnly Gemini 4 Argon measured
ProgramBench (Vals AI)2.5%Not measuredOnly Gemini 4 Argon measured
IOI (Vals AI)100.0%Not measuredOnly Gemini 4 Argon measured
Terminal-Bench 2.1 (Vals AI)57.7%Not measuredOnly Gemini 4 Argon measured
SWE-bench Multimodal (Vals AI)56.0%Not measuredOnly Gemini 4 Argon measured
Vibe Code Bench 1-100 (Vals AI)21.2%Not measuredOnly Gemini 4 Argon measured
CyberBench (Vals AI)77.9%Not measuredOnly Gemini 4 Argon measured
LiveCodeBench (Artificial Analysis run)Not measured89.4%Only GLM 4.7 measured
SciCode61.8%Not measuredOnly Gemini 4 Argon measured
Terminal-Bench Hard (Artificial Analysis run)Not measured31.8%Only GLM 4.7 measured
Terminal-BenchNot measured33.4%Only GLM 4.7 measured
FrontierCode47.5%Not measuredOnly Gemini 4 Argon measured
FrontierSWE55.0%Not measuredOnly Gemini 4 Argon measured
ALE-Bench2100.1399.5Gemini 4 Argon
LMArena Text: coding15461454Gemini 4 Argon
LMArena Text: software and IT15561453Gemini 4 Argon
LMArena WebDev: React16921420Gemini 4 Argon
LMArena WebDev: HTML16431447Gemini 4 Argon
SciCode12.3%Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 4 Argon and GLM 4.7
BenchmarkGemini 4 ArgonGLM 4.7Leader
AA Intelligence Index52.622.2Gemini 4 Argon
Epoch Capabilities Index166.4143.6Gemini 4 Argon
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemini 4 Argon and GLM 4.7
BenchmarkGemini 4 ArgonGLM 4.7Leader
Design Arena: agents building full-stack appsNot measured1050Only GLM 4.7 measured
Design Arena: agents building mobile appsNot measured1105Only GLM 4.7 measured
Design Arena: agents building Android appsNot measured1112Only GLM 4.7 measured
Design Arena: agents building Godot gamesNot measured1058Only GLM 4.7 measured
Design Arena: spreadsheets1142Not measuredOnly Gemini 4 Argon measured
LiveBench research83.1%Not measuredOnly Gemini 4 Argon measured
LiveBench browser92.0%Not measuredOnly Gemini 4 Argon measured
LiveBench long agentic69.9%Not measuredOnly Gemini 4 Argon measured
SREBench (Vals AI)44.3%Not measuredOnly Gemini 4 Argon measured
Finance Agent (Vals AI)65.4%Not measuredOnly Gemini 4 Argon measured
Tax Agent Bench (Vals AI)44.6%Not measuredOnly Gemini 4 Argon measured
Legal Research Bench (Vals AI)54.8%Not measuredOnly Gemini 4 Argon measured
Harvey's Legal Agent Benchmark (Vals AI)27.1%Not measuredOnly Gemini 4 Argon measured
Excel Modeling Benchmark (Vals AI)75.2%Not measuredOnly Gemini 4 Argon measured
BioMysteryBench (Vals AI)76.3%Not measuredOnly Gemini 4 Argon measured
Terminal-Bench-Science (Vals AI)44.3%Not measuredOnly Gemini 4 Argon measured
Vals Science Index55.4%Not measuredOnly Gemini 4 Argon measured
Time Horizon Index (Vals AI)52.5%Not measuredOnly Gemini 4 Argon measured
CUA-bench (Vals AI)4.8%Not measuredOnly Gemini 4 Argon measured
Robo-bench (Vals AI)0.8%Not measuredOnly Gemini 4 Argon measured
τ²-Bench TelecomNot measured95.9%Only GLM 4.7 measured
APEX-Agents82.4%Not measuredOnly Gemini 4 Argon measured
Vending-Bench 2$13,718$2,377Gemini 4 Argon
BrowseComp-PlusNot measured64.7%Only GLM 4.7 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Gemini 4 Argon and GLM 4.7
BenchmarkGemini 4 ArgonGLM 4.7Leader
GPQA DiamondNot measured80.0%Only GLM 4.7 measured
LiveBench reasoning95.1%Not measuredOnly Gemini 4 Argon measured
MysteryMechanism (Vals AI)45.5%Not measuredOnly Gemini 4 Argon measured
GPQA Diamond (Artificial Analysis run)Not measured85.9%Only GLM 4.7 measured
Humanity's Last Exam (Artificial Analysis run)57.1%27.4%Gemini 4 Argon
GPQA Diamond (Epoch AI run)96.4%83.3%Gemini 4 Argon
ARC-AGI98.5%Not measuredOnly Gemini 4 Argon measured
ARC-AGI-291.3%Not measuredOnly Gemini 4 Argon measured
SimpleBenchNot measured47.7%Only GLM 4.7 measured
Chess puzzles59.0%21.0%Gemini 4 Argon
Mystery game puzzles64.0%Not measuredOnly Gemini 4 Argon measured
EBR-bench64.8%Not measuredOnly Gemini 4 Argon measured
LMArena Text: hard prompts15461443Gemini 4 Argon
LMArena Text: expert15501424Gemini 4 Argon
LMArena Text: hard prompts in English15481452Gemini 4 Argon
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemini 4 Argon and GLM 4.7
BenchmarkGemini 4 ArgonGLM 4.7Leader
AIMENot measured93.3%Only GLM 4.7 measured
MGSM (Vals AI)Not measured88.2%Only GLM 4.7 measured
AA Math IndexNot measured95.0Only GLM 4.7 measured
AIME 2025 (Artificial Analysis run)Not measured95.0%Only GLM 4.7 measured
OTIS Mock AIME100.0%83.3%Gemini 4 Argon
FrontierMath, tiers 1 to 386.0%Not measuredOnly Gemini 4 Argon measured
FrontierMath, tier 478.0%Not measuredOnly Gemini 4 Argon measured
ProofBench99.0%6.0%Gemini 4 Argon
LMArena Text: math15361424Gemini 4 Argon
LMArena Text: mathematical work15571411Gemini 4 Argon
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for Gemini 4 Argon and GLM 4.7
BenchmarkGemini 4 ArgonGLM 4.7Leader
MMLU ProNot measured82.7%Only GLM 4.7 measured
LegalBench (Vals AI)88.3%83.4%Gemini 4 Argon
CaseLaw (Vals AI)Not measured54.9%Only GLM 4.7 measured
CorpFin (Vals AI)Not measured46.4%Only GLM 4.7 measured
TaxEval (Vals AI)Not measured68.8%Only GLM 4.7 measured
MedQA (Vals AI)Not measured93.7%Only GLM 4.7 measured
MedCode (Vals AI)58.8%32.8%Gemini 4 Argon
MMLU Pro (Artificial Analysis run)Not measured85.6%Only GLM 4.7 measured
SimpleQA Verified76.0%32.2%Gemini 4 Argon
LMArena Text: science15481457Gemini 4 Argon
LMArena Text: medicine and healthcare15551469Gemini 4 Argon
LMArena Text: legal and government15481444Gemini 4 Argon
LMArena Text: business and finance15251429Gemini 4 Argon
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Gemini 4 Argon and GLM 4.7
BenchmarkGemini 4 ArgonGLM 4.7Leader
Design Arena: websites13151226Gemini 4 Argon
Design Arena: UI components13311199Gemini 4 Argon
Design Arena: game dev13751189Gemini 4 Argon
Design Arena: data viz13361195Gemini 4 Argon
Design Arena: 3D13891191Gemini 4 Argon
Design Arena: all code categories13291217Gemini 4 Argon
Design Arena: SVGNot measured1143Only GLM 4.7 measured
Design Arena: ASCII artNot measured1165Only GLM 4.7 measured
LiveBench design73.7%Not measuredOnly Gemini 4 Argon measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index140
General benchmarks for Gemini 4 Argon and GLM 4.7
BenchmarkGemini 4 ArgonGLM 4.7Leader
Vals Index69.2%Not measuredOnly Gemini 4 Argon measured
LiveBench data analysis85.2%Not measuredOnly Gemini 4 Argon measured
Public Benefits Bench (Vals AI)69.8%Not measuredOnly Gemini 4 Argon measured
SAGE (Vals AI)53.6%Not measuredOnly Gemini 4 Argon measured
MedScribe (Vals AI)87.4%68.6%Gemini 4 Argon
IFBenchNot measured67.9%Only GLM 4.7 measured
Long context reasoning (AA-LCR)79.7%71.0%Gemini 4 Argon
DTBench97.6%Not measuredOnly Gemini 4 Argon measured
LMCA63.7%Not measuredOnly Gemini 4 Argon measured
CL-benchNot measured15.9%Only GLM 4.7 measured
Furniture assembly72.5%Not measuredOnly Gemini 4 Argon measured
CL-bench LifeNot measured10.9%Only GLM 4.7 measured
LMArena Text15321435Gemini 4 Argon
LMArena Text: instruction following15341412Gemini 4 Argon
LMArena Text: creative writing15271401Gemini 4 Argon
LMArena Text: English15381453Gemini 4 Argon
LMArena Text: non-English15221417Gemini 4 Argon
LMArena Text: Chinese16111495Gemini 4 Argon
LMArena Text: GermanNot measured1426Only GLM 4.7 measured
LMArena Text: JapaneseNot measured1439Only GLM 4.7 measured
LMArena Text: KoreanNot measured1399Only GLM 4.7 measured
LMArena Text: FrenchNot measured1432Only GLM 4.7 measured
LMArena Text: Spanish15031434Gemini 4 Argon
LMArena Text: Russian15341423Gemini 4 Argon
LMArena Text: PolishNot measured1435Only GLM 4.7 measured
LMArena Text: multi-turn15561446Gemini 4 Argon
LMArena Text: longer queries15471432Gemini 4 Argon
LMArena Text: writing and language15291411Gemini 4 Argon
LMArena Text: entertainment and media15271400Gemini 4 Argon
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 4 Argon and GLM 4.7
BenchmarkGemini 4 ArgonGLM 4.7Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 4 Argon$0.0070Fits in one request
GLM 4.7$0.0017Fits in one request

GLM 4.7 costs less

Repository review

50K input + 3K output tokens

Gemini 4 Argon$0.130Fits in one request
GLM 4.7$0.037Fits in one request

GLM 4.7 costs less

Agent loop

200K input + 10K output tokens

Gemini 4 Argon$0.500Fits in one request
GLM 4.7$0.142Exceeds the context window

GLM 4.7 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 4 Argon and GLM 4.7
SpecificationGoogle Gemini 4 ArgonZ.ai GLM 4.7
MakerGoogleZ.ai
WeightsNo public weights listedOpen weights
ReleasedOctober 13, 2026December 22, 2025
Context window1.05M205K
Input $/Mtok$2.00$0.60
Output $/Mtok$10.00$2.20
Coding index81.055.1
Independent measurements behind it52
Cost per solved taskNot computable$0.29
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 4 Argon better than GLM 4.7 for coding?

Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 55.1 for GLM 4.7. Pick GLM 4.7 for output tokens 4.5x cheaper ($2.20 vs $10.00 per million).

Which is cheaper, Gemini 4 Argon or GLM 4.7?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; GLM 4.7 costs $0.60 and $2.20. Cost per solved task is known for GLM 4.7 only.

Which has the bigger context window, Gemini 4 Argon or GLM 4.7?

Gemini 4 Argon, with 1.05M tokens against 205K.

How many benchmarks is the Gemini 4 Argon vs GLM 4.7 comparison based on?

46 benchmarks have a result for both models as of October 21, 2026. Gemini 4 Argon's coding index rests on 5 independent benchmarks and GLM 4.7's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-4-argon-vs-glm-4-7">LLMBenchmark.ai, Gemini 4 Argon vs GLM 4.7</a></p>