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Gemini 3.6 Flash vs GLM 5.3 Flash

Gemini 3.6 Flash leads GLM 5.3 Flash on coding, 62.5 to 57.7 on the Vibe Coding Index, and GLM 5.3 Flash costs 7.5x less per output token ($0.50 vs $3.75 per million). Updated October 21, 2026; 86 benchmarks have a result for both.

Replace Gemini 3.6 Flash Replace GLM 5.3 Flash
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
49
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
35
vs boards won of 86 shared, 2 tied

Gemini 3.6 Flash or GLM 5.3 Flash: which to pick

Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 57.7 for GLM 5.3 Flash, though on 4 benchmarks against 6.

Pick GLM 5.3 Flash for output tokens 7.5x cheaper ($0.50 vs $3.75 per million) and a lower cost per solved task ($0.02 against $1.49).

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved taskModel BGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved task
Shared results
86
Gemini 3.6 Flash only
23
GLM 5.3 Flash only
16
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 3.6 Flash 62.5 from 4 benchmarks, GLM 5.3 Flash 57.7 from 6 benchmarks.
Widest category
Agentic work, 10.6 points apart on average over 7 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 3.6 Flash 64.0% against GLM 5.3 Flash 30.8%, 33.2 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against GLM 5.3 Flash $0.50 per million output tokens, 7.5x 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 3.6 FlashBarsGLM 5.3 FlashTies
Coding7101 tie
Intelligence11
Agentic work25
Reasoning86
Math51
Knowledge52
Web design43
General1771 tie
All shared boards49352 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index710
Coding benchmarks for Gemini 3.6 Flash and GLM 5.3 Flash
BenchmarkGemini 3.6 FlashGLM 5.3 FlashLeader
LiveBench codingNot measured80.6%Only GLM 5.3 Flash measured
LMArena WebDev15381607GLM 5.3 Flash
AA Coding Index69.271.5GLM 5.3 Flash
LiveCodeBench (Vals AI)88.1%80.5%Gemini 3.6 Flash
SWE-bench Verified (Vals AI)79.6%92.0%GLM 5.3 Flash
Terminal-Bench 4 (Vals AI)Not measured37.4%Only GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)64.0%30.8%Gemini 3.6 Flash
Code migration (Vals AI)30.9%20.5%Gemini 3.6 Flash
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)35.1%52.5%GLM 5.3 Flash
Terminal-Bench 2.1 (Vals AI)73.8%62.9%Gemini 3.6 Flash
Vibe Code Bench 1-100 (Vals AI)Not measured16.0%Only GLM 5.3 Flash measured
SkillsBench (Vals AI)Not measured40.2%Only GLM 5.3 Flash measured
CyberBench (Vals AI)45.4%67.9%GLM 5.3 Flash
SciCode53.4%51.6%Gemini 3.6 Flash
FrontierCode34.4%31.8%Gemini 3.6 Flash
FrontierSWENot measured18.1%Only GLM 5.3 Flash measured
WeirdML56.1%Not measuredOnly Gemini 3.6 Flash measured
ALE-Bench715.5303.6Gemini 3.6 Flash
LMArena Text: coding14911507GLM 5.3 Flash
LMArena Text: software and IT14921500GLM 5.3 Flash
LMArena WebDev: React15281624GLM 5.3 Flash
LMArena WebDev: HTML15471577GLM 5.3 Flash
LMArena WebDev: from an image15451578GLM 5.3 Flash
SciCode10.8%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Gemini 3.6 Flash and GLM 5.3 Flash
BenchmarkGemini 3.6 FlashGLM 5.3 FlashLeader
AA Intelligence Index34.041.8GLM 5.3 Flash
Epoch Capabilities Index154.5153.1Gemini 3.6 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index25
Agentic work benchmarks for Gemini 3.6 Flash and GLM 5.3 Flash
BenchmarkGemini 3.6 FlashGLM 5.3 FlashLeader
AA Agentic Index29.050.9GLM 5.3 Flash
Design Arena: agents building web apps1197Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building full-stack apps1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building mobile apps1199Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building Android apps1203Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building games1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: HTML slides1148Not measuredOnly Gemini 3.6 Flash measured
Design Arena: PowerPoint slides1146Not measuredOnly Gemini 3.6 Flash measured
Design Arena: spreadsheets1034Not measuredOnly Gemini 3.6 Flash measured
LiveBench researchNot measured70.1%Only GLM 5.3 Flash measured
LiveBench browserNot measured84.0%Only GLM 5.3 Flash measured
LiveBench long agenticNot measured28.4%Only GLM 5.3 Flash measured
SREBench (Vals AI)Not measured0.8%Only GLM 5.3 Flash measured
Finance Agent (Vals AI)56.3%57.9%GLM 5.3 Flash
Tax Agent Bench (Vals AI)18.0%31.6%GLM 5.3 Flash
Legal Research Bench (Vals AI)25.0%45.2%GLM 5.3 Flash
Harvey's Legal Agent Benchmark (Vals AI)Not measured10.4%Only GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)65.4%55.9%Gemini 3.6 Flash
BioMysteryBench (Vals AI)58.5%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)4.3%2.9%Gemini 3.6 Flash
APEX-Agents46.9%52.8%GLM 5.3 Flash
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index86
Reasoning benchmarks for Gemini 3.6 Flash and GLM 5.3 Flash
BenchmarkGemini 3.6 FlashGLM 5.3 FlashLeader
GPQA Diamond93.4%86.4%Gemini 3.6 Flash
LiveBench reasoningNot measured77.6%Only GLM 5.3 Flash measured
MMMU Pro (Vals AI)88.4%86.0%Gemini 3.6 Flash
GPQA Diamond (Artificial Analysis run)92.8%91.2%Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)40.8%39.9%Gemini 3.6 Flash
GPQA Diamond (Epoch AI run)94.1%90.2%Gemini 3.6 Flash
ARC-AGI91.2%91.0%Gemini 3.6 Flash
ARC-AGI-260.4%65.8%GLM 5.3 Flash
Chess puzzles42.0%21.0%Gemini 3.6 Flash
Mystery game puzzles30.0%8.0%Gemini 3.6 Flash
LMArena Text: hard prompts14861490GLM 5.3 Flash
LMArena Text: expert14901511GLM 5.3 Flash
LMArena Text: hard prompts in English14841488GLM 5.3 Flash
LMArena Vision: diagrams13141317GLM 5.3 Flash
LMArena Vision: homework13141318GLM 5.3 Flash
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for Gemini 3.6 Flash and GLM 5.3 Flash
BenchmarkGemini 3.6 FlashGLM 5.3 FlashLeader
OTIS Mock AIME94.2%93.9%Gemini 3.6 Flash
FrontierMath, tiers 1 to 358.9%55.8%Gemini 3.6 Flash
FrontierMath, tier 422.0%17.1%Gemini 3.6 Flash
ProofBench36.0%21.0%Gemini 3.6 Flash
LMArena Text: math15081503Gemini 3.6 Flash
LMArena Text: mathematical work14921497GLM 5.3 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index52
Knowledge benchmarks for Gemini 3.6 Flash and GLM 5.3 Flash
BenchmarkGemini 3.6 FlashGLM 5.3 FlashLeader
MMLU Pro89.3%86.1%Gemini 3.6 Flash
LegalBench (Vals AI)86.7%83.9%Gemini 3.6 Flash
CorpFin (Vals AI)63.3%Not measuredOnly Gemini 3.6 Flash measured
TaxEval (Vals AI)74.9%75.6%GLM 5.3 Flash
MortgageTax (Vals AI)67.6%Not measuredOnly Gemini 3.6 Flash measured
MedCode (Vals AI)53.1%Not measuredOnly Gemini 3.6 Flash measured
SimpleQA Verified66.2%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: science14891484Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691475GLM 5.3 Flash
LMArena Text: legal and government14791473Gemini 3.6 Flash
LMArena Text: business and finance14641460Gemini 3.6 Flash
FACTS Benchmark Suite65.3%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index43
Web design benchmarks for Gemini 3.6 Flash and GLM 5.3 Flash
BenchmarkGemini 3.6 FlashGLM 5.3 FlashLeader
Design Arena: websites13001272Gemini 3.6 Flash
Design Arena: UI components12971316GLM 5.3 Flash
Design Arena: game dev12631278GLM 5.3 Flash
Design Arena: data viz12891261Gemini 3.6 Flash
Design Arena: 3D12721316GLM 5.3 Flash
Design Arena: all code categories12901282Gemini 3.6 Flash
Design Arena: SVGNot measured1284Only GLM 5.3 Flash measured
Design Arena: ASCII art12811268Gemini 3.6 Flash
LiveBench designNot measured77.2%Only GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index177
General benchmarks for Gemini 3.6 Flash and GLM 5.3 Flash
BenchmarkGemini 3.6 FlashGLM 5.3 FlashLeader
Vals IndexNot measured50.9%Only GLM 5.3 Flash measured
LiveBench data analysisNot measured76.4%Only GLM 5.3 Flash measured
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Gemini 3.6 Flash measured
SAGE (Vals AI)48.7%Not measuredOnly Gemini 3.6 Flash measured
MedScribe (Vals AI)79.7%88.9%GLM 5.3 Flash
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
Long context reasoning (AA-LCR)80.0%80.0%Tie
DTBench95.5%Not measuredOnly Gemini 3.6 Flash measured
LMCA44.9%Not measuredOnly Gemini 3.6 Flash measured
Surface Evolver BenchNot measured52.5%Only GLM 5.3 Flash measured
Furniture assembly23.3%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text14801471Gemini 3.6 Flash
LMArena Text: instruction following14671478GLM 5.3 Flash
LMArena Text: creative writing14661441Gemini 3.6 Flash
LMArena Vision12991294Gemini 3.6 Flash
LMArena Text: English14821474Gemini 3.6 Flash
LMArena Text: non-English14701462Gemini 3.6 Flash
LMArena Text: Chinese15311531GLM 5.3 Flash
LMArena Text: German14801462Gemini 3.6 Flash
LMArena Text: Japanese14751444Gemini 3.6 Flash
LMArena Text: Korean14291436GLM 5.3 Flash
LMArena Text: French15031491Gemini 3.6 Flash
LMArena Text: Spanish14761475Gemini 3.6 Flash
LMArena Text: Russian14881465Gemini 3.6 Flash
LMArena Text: Polish14731450Gemini 3.6 Flash
LMArena Text: multi-turn14811469Gemini 3.6 Flash
LMArena Text: longer queries14751481GLM 5.3 Flash
LMArena Text: writing and language14701455Gemini 3.6 Flash
LMArena Text: entertainment and media14561440Gemini 3.6 Flash
LMArena Vision: English12951295GLM 5.3 Flash
LMArena Vision: Chinese13571363GLM 5.3 Flash
LMArena Vision: reading text13121299Gemini 3.6 Flash
LMArena Vision: humor12891279Gemini 3.6 Flash
LMArena Vision: creative writing12781270Gemini 3.6 Flash
LMArena Document1456Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.6 Flash and GLM 5.3 Flash
BenchmarkGemini 3.6 FlashGLM 5.3 FlashLeader
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 3.6 Flash$0.0026Fits in one request
GLM 5.3 Flash$0.0004Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 Flash$0.049Fits in one request
GLM 5.3 Flash$0.0090Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.6 Flash$0.188Fits in one request
GLM 5.3 Flash$0.035Fits in one request

GLM 5.3 Flash 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 3.6 Flash and GLM 5.3 Flash
SpecificationGoogle Gemini 3.6 FlashZ.ai GLM 5.3 Flash
MakerGoogleZ.ai
WeightsNo public weights listedOpen weights
ReleasedJuly 21, 2026August 26, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$0.15
Output $/Mtok$3.75$0.50
Coding index62.557.7
Independent measurements behind it46
Cost per solved task$1.49$0.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than GLM 5.3 Flash for coding?

Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 57.7 for GLM 5.3 Flash, though on 4 benchmarks against 6. Pick GLM 5.3 Flash for output tokens 7.5x cheaper ($0.50 vs $3.75 per million) and a lower cost per solved task ($0.02 against $1.49).

Which is cheaper, Gemini 3.6 Flash or GLM 5.3 Flash?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GLM 5.3 Flash costs $0.15 and $0.50. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and GLM 5.3 Flash $0.02.

Which has the bigger context window, Gemini 3.6 Flash or GLM 5.3 Flash?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.6 Flash vs GLM 5.3 Flash comparison based on?

86 benchmarks have a result for both models as of October 21, 2026. Gemini 3.6 Flash's coding index rests on 4 independent benchmarks and GLM 5.3 Flash's on 6. 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-3-6-flash-vs-glm-5-3-flash">LLMBenchmark.ai, Gemini 3.6 Flash vs GLM 5.3 Flash</a></p>