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Gemini 4 Carbon vs GLM 5.3

Gemini 4 Carbon leads GLM 5.3 on coding, 86.6 to 68.5 on the Vibe Coding Index, and GLM 5.3 costs 2.3x less per output token ($4.40 vs $10.00 per million). Updated November 14, 2026; 58 benchmarks have a result for both.

Replace Gemini 4 Carbon Replace GLM 5.3
Gemini 4 CarbonGoogle
Coding
86.6
Overall
88.3
Output $/M
$10.00
57
GLM 5.3Z.ai
Coding
68.5
Overall
67.0
Output $/M
$4.40
1
vs boards won of 58 shared

Gemini 4 Carbon or GLM 5.3: which to pick

Pick Gemini 4 Carbon for coding: it scores 86.6 on the Vibe Coding Index against 68.5 for GLM 5.3, though on 4 benchmarks against 5.

Pick GLM 5.3 for output tokens 2.3x cheaper ($4.40 vs $10.00 per million) and work measured by Long context reasoning (AA-LCR), where it leads.

Model AGemini 4 CarbonGoogle86.6/1004 independent benchmarksNo cost per solved taskModel BGLM 5.3Z.ai68.5/1005 independent benchmarks$0.36 per solved task
Shared results
58
Gemini 4 Carbon only
15
GLM 5.3 only
51
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 Carbon 86.6 from 4 benchmarks, GLM 5.3 68.5 from 5 benchmarks.
Widest category
Math, 25.6 points apart on average over 4 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Gemini 4 Carbon 95.1% against GLM 5.3 29.3%, 65.9 points apart on a 0 to 100 scale.
Output price
Gemini 4 Carbon $10.00 against GLM 5.3 $4.40 per million output tokens, 2.3x apart.
Context window
Both take 1.05M tokens.

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 CarbonBarsGLM 5.3Ties
Coding120
Intelligence20
Agentic work60
Reasoning90
Math40
Knowledge60
Web design50
General131
All shared boards571
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
Coding benchmarks for Gemini 4 Carbon and GLM 5.3
BenchmarkGemini 4 CarbonGLM 5.3Leader
LiveBench coding91.0%Not measuredOnly Gemini 4 Carbon measured
LMArena WebDev17681622Gemini 4 Carbon
AA Coding IndexNot measured74.8Only GLM 5.3 measured
LiveCodeBench (Vals AI)Not measured80.5%Only GLM 5.3 measured
SWE-bench Verified (Vals AI)Not measured95.4%Only GLM 5.3 measured
Terminal-Bench 4 (Vals AI)63.1%38.9%Gemini 4 Carbon
Vibe Code Bench (Vals AI)89.1%78.1%Gemini 4 Carbon
Code migration (Vals AI)Not measured44.2%Only GLM 5.3 measured
ProgramBench (Vals AI)Not measured1.5%Only GLM 5.3 measured
IOI (Vals AI)Not measured68.4%Only GLM 5.3 measured
Terminal-Bench 2.1 (Vals AI)Not measured71.5%Only GLM 5.3 measured
Vibe Code Bench 1-100 (Vals AI)Not measured20.0%Only GLM 5.3 measured
SkillsBench (Vals AI)Not measured47.5%Only GLM 5.3 measured
CyberBench (Vals AI)Not measured72.1%Only GLM 5.3 measured
SciCodeNot measured59.0%Only GLM 5.3 measured
Terminal-Bench 4.0 (Artificial Analysis run)65.2%41.9%Gemini 4 Carbon
FrontierCode 2.040.6%21.6%Gemini 4 Carbon
FrontierCodeNot measured40.1%Only GLM 5.3 measured
FrontierSWE61.2%30.2%Gemini 4 Carbon
WeirdMLNot measured75.4%Only GLM 5.3 measured
ALE-Bench2374.71317.4Gemini 4 Carbon
LMArena Text: coding15641499Gemini 4 Carbon
LMArena Text: software and IT15521495Gemini 4 Carbon
LMArena WebDev: React17921642Gemini 4 Carbon
LMArena WebDev: HTML17701596Gemini 4 Carbon
SWE-Bench Pro V2Not measured95.6%Only GLM 5.3 measured
GameBench 2Not measured72.3Only GLM 5.3 measured
Terminal-Bench 3.0Not measured32.4%Only GLM 5.3 measured
Terminal-Bench 4.0Not measured41.8%Only GLM 5.3 measured
CursorBench 4.060.4%42.6%Gemini 4 Carbon
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 4 Carbon and GLM 5.3
BenchmarkGemini 4 CarbonGLM 5.3Leader
AA Intelligence Index60.031.7Gemini 4 Carbon
Epoch Capabilities Index169.8157.1Gemini 4 Carbon
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
Agentic work benchmarks for Gemini 4 Carbon and GLM 5.3
BenchmarkGemini 4 CarbonGLM 5.3Leader
AA Agentic IndexNot measured53.1Only GLM 5.3 measured
Design Arena: agents building web appsNot measured1270Only GLM 5.3 measured
Design Arena: agents building mobile apps12841184Gemini 4 Carbon
Design Arena: HTML slidesNot measured1189Only GLM 5.3 measured
Design Arena: PowerPoint slidesNot measured1217Only GLM 5.3 measured
Design Arena: spreadsheets1224Not measuredOnly Gemini 4 Carbon measured
LiveBench research92.5%Not measuredOnly Gemini 4 Carbon measured
LiveBench browser80.0%Not measuredOnly Gemini 4 Carbon measured
LiveBench long agentic72.7%Not measuredOnly Gemini 4 Carbon measured
SREBench (Vals AI)Not measured9.2%Only GLM 5.3 measured
Finance Agent (Vals AI)Not measured55.8%Only GLM 5.3 measured
Tax Agent Bench (Vals AI)51.8%43.3%Gemini 4 Carbon
Legal Research Bench (Vals AI)55.8%49.0%Gemini 4 Carbon
Harvey's Legal Agent Benchmark (Vals AI)17.5%14.6%Gemini 4 Carbon
Excel Modeling Benchmark (Vals AI)Not measured56.3%Only GLM 5.3 measured
Terminal-Bench-Science (Vals AI)Not measured5.7%Only GLM 5.3 measured
APEX-Agents84.2%56.6%Gemini 4 Carbon
PostTrainBenchNot measured34.5%Only GLM 5.3 measured
Vending-Bench 2$16,484$8,164Gemini 4 Carbon
MCP AtlasNot measured84.2%Only GLM 5.3 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Gemini 4 Carbon and GLM 5.3
BenchmarkGemini 4 CarbonGLM 5.3Leader
GPQA DiamondNot measured88.1%Only GLM 5.3 measured
LiveBench reasoning90.6%Not measuredOnly Gemini 4 Carbon measured
MysteryMechanism (Vals AI)Not measured23.0%Only GLM 5.3 measured
GPQA Diamond (Artificial Analysis run)Not measured91.7%Only GLM 5.3 measured
Humanity's Last Exam (Artificial Analysis run)Not measured42.3%Only GLM 5.3 measured
HLE-Diamond (Artificial Analysis run)69.1%17.9%Gemini 4 Carbon
CritPt v2, hard subset (Artificial Analysis run)69.0%33.5%Gemini 4 Carbon
GPQA Diamond (Epoch AI run)96.5%90.9%Gemini 4 Carbon
ARC-AGI98.5%Not measuredOnly Gemini 4 Carbon measured
ARC-AGI-294.2%Not measuredOnly Gemini 4 Carbon measured
SimpleBench92.6%66.2%Gemini 4 Carbon
Chess puzzles78.0%37.0%Gemini 4 Carbon
Mystery game puzzles73.0%33.0%Gemini 4 Carbon
EBR-bench87.6%Not measuredOnly Gemini 4 Carbon measured
LMArena Text: hard prompts15511493Gemini 4 Carbon
LMArena Text: expert15821519Gemini 4 Carbon
LMArena Text: hard prompts in English15451500Gemini 4 Carbon
Humanity's Last Exam (Scale run)Not measured16.4%Only GLM 5.3 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemini 4 Carbon and GLM 5.3
BenchmarkGemini 4 CarbonGLM 5.3Leader
OTIS Mock AIME100.0%91.1%Gemini 4 Carbon
FrontierMath, tiers 1 to 390.5%68.8%Gemini 4 Carbon
FrontierMath, tier 495.1%29.3%Gemini 4 Carbon
ProofBenchNot measured49.0%Only GLM 5.3 measured
LMArena Text: mathNot measured1500Only GLM 5.3 measured
LMArena Text: mathematical work15381502Gemini 4 Carbon
MathArena85.4%Not measuredOnly Gemini 4 Carbon measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Gemini 4 Carbon and GLM 5.3
BenchmarkGemini 4 CarbonGLM 5.3Leader
MMLU ProNot measured86.8%Only GLM 5.3 measured
LegalBench (Vals AI)Not measured84.8%Only GLM 5.3 measured
TaxEval (Vals AI)Not measured72.4%Only GLM 5.3 measured
MedCode (Vals AI)Not measured42.9%Only GLM 5.3 measured
AA-Omniscience53.56.0Gemini 4 Carbon
SimpleQA Verified77.7%41.0%Gemini 4 Carbon
LMArena Text: science15351499Gemini 4 Carbon
LMArena Text: medicine and healthcare15251483Gemini 4 Carbon
LMArena Text: legal and government15421481Gemini 4 Carbon
LMArena Text: business and finance15201461Gemini 4 Carbon
FACTS Benchmark Suite78.4%Not measuredOnly Gemini 4 Carbon measured
PRBench Legal53.3%Not measuredOnly Gemini 4 Carbon measured
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Gemini 4 Carbon and GLM 5.3
BenchmarkGemini 4 CarbonGLM 5.3Leader
Design Arena: websites13191279Gemini 4 Carbon
Design Arena: UI components13571284Gemini 4 Carbon
Design Arena: game dev13261289Gemini 4 Carbon
Design Arena: data vizNot measured1251Only GLM 5.3 measured
Design Arena: 3D14341295Gemini 4 Carbon
Design Arena: all code categories13481284Gemini 4 Carbon
Design Arena: SVGNot measured1246Only GLM 5.3 measured
Design Arena: ASCII artNot measured1208Only GLM 5.3 measured
LiveBench design80.2%Not measuredOnly Gemini 4 Carbon measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index131
General benchmarks for Gemini 4 Carbon and GLM 5.3
BenchmarkGemini 4 CarbonGLM 5.3Leader
Vals Index70.5%59.9%Gemini 4 Carbon
LiveBench data analysis86.5%Not measuredOnly Gemini 4 Carbon measured
Public Benefits Bench (Vals AI)Not measured68.5%Only GLM 5.3 measured
MedScribe (Vals AI)Not measured88.8%Only GLM 5.3 measured
Long context reasoning (AA-LCR)79.3%79.7%GLM 5.3
GDPval-AA17331655Gemini 4 Carbon
DTBenchNot measured87.7%Only GLM 5.3 measured
LMCANot measured55.5%Only GLM 5.3 measured
Furniture assembly77.5%Not measuredOnly Gemini 4 Carbon measured
LMArena Text15381475Gemini 4 Carbon
LMArena Text: instruction following15391483Gemini 4 Carbon
LMArena Text: creative writing15331459Gemini 4 Carbon
LMArena Text: English15301483Gemini 4 Carbon
LMArena Text: non-English15341462Gemini 4 Carbon
LMArena Text: Chinese16131535Gemini 4 Carbon
LMArena Text: GermanNot measured1497Only GLM 5.3 measured
LMArena Text: JapaneseNot measured1470Only GLM 5.3 measured
LMArena Text: KoreanNot measured1440Only GLM 5.3 measured
LMArena Text: FrenchNot measured1498Only GLM 5.3 measured
LMArena Text: SpanishNot measured1467Only GLM 5.3 measured
LMArena Text: Russian15601472Gemini 4 Carbon
LMArena Text: PolishNot measured1463Only GLM 5.3 measured
LMArena Text: multi-turn15691474Gemini 4 Carbon
LMArena Text: longer queries15491486Gemini 4 Carbon
LMArena Text: writing and language15421468Gemini 4 Carbon
LMArena Text: entertainment and media15271447Gemini 4 Carbon
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 4 Carbon and GLM 5.3
BenchmarkGemini 4 CarbonGLM 5.3Leader
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 Carbon$0.0070Fits in one request
GLM 5.3$0.0036Fits in one request

GLM 5.3 costs less

Repository review

50K input + 3K output tokens

Gemini 4 Carbon$0.130Fits in one request
GLM 5.3$0.083Fits in one request

GLM 5.3 costs less

Agent loop

200K input + 10K output tokens

Gemini 4 Carbon$0.500Fits in one request
GLM 5.3$0.324Fits in one request

GLM 5.3 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 Carbon and GLM 5.3
SpecificationGoogle Gemini 4 CarbonZ.ai GLM 5.3
MakerGoogleZ.ai
WeightsNo public weights listedOpen weights
ReleasedNovember 10, 2026August 18, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$1.40
Output $/Mtok$10.00$4.40
Coding index86.668.5
Independent measurements behind it45
Cost per solved taskNot computable$0.36
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 4 Carbon better than GLM 5.3 for coding?

Pick Gemini 4 Carbon for coding: it scores 86.6 on the Vibe Coding Index against 68.5 for GLM 5.3, though on 4 benchmarks against 5. Pick GLM 5.3 for output tokens 2.3x cheaper ($4.40 vs $10.00 per million) and work measured by Long context reasoning (AA-LCR), where it leads.

Which is cheaper, Gemini 4 Carbon or GLM 5.3?

Gemini 4 Carbon costs $2.00 per million input tokens and $10.00 per million output tokens; GLM 5.3 costs $1.40 and $4.40. Cost per solved task is known for GLM 5.3 only.

Which has the bigger context window, Gemini 4 Carbon or GLM 5.3?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 4 Carbon vs GLM 5.3 comparison based on?

58 benchmarks have a result for both models as of November 14, 2026. Gemini 4 Carbon's coding index rests on 4 independent benchmarks and GLM 5.3's on 5. Where only one model has a result, the page says so instead of naming a winner.

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