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Gemini 3.5 Flash Lite vs GLM 5.3

Updated October 21, 2026. 68 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.5 Flash Lite Replace GLM 5.3
Gemini 3.5 Flash LiteGoogle
Coding
33.6
Overall
22.2
Output $/M
$2.50
2
GLM 5.3Z.ai
Coding
73.1
Overall
44.8
Output $/M
$1.40
66
vs boards won of 68 shared

Decision reading

Pick GLM 5.3 for coding: it scores 73.1 on the Vibe Coding Index against 33.6 for Gemini 3.5 Flash Lite.

Pick Gemini 3.5 Flash Lite when what matters is TaxEval (Vals AI) or MedCode (Vals AI), where it leads.

Model AGemini 3.5 Flash LiteGoogle33.6/1001 independent benchmark$0.41 per solved taskModel BGLM 5.3Z.ai73.1/1002 independent benchmarks$0.36 per solved task
Shared results
68
Gemini 3.5 Flash Lite only
15
GLM 5.3 only
32
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 3.5 Flash Lite 33.6 from 1 benchmark, GLM 5.3 73.1 from 2 benchmarks.
Widest category
Agentic work, 25.9 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Gemini 3.5 Flash Lite 26.0% against GLM 5.3 68.8%, 42.8 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash Lite $2.50 against GLM 5.3 $1.40 per million output tokens, 1.8x 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 3.5 Flash LiteBarsGLM 5.3Ties
Coding015
Intelligence02
Agentic work06
Reasoning09
Math06
Knowledge26
General022
All shared boards266
CodingLike-for-likeFour of these boards feed the Vibe Coding Index015
Coding benchmarks for Gemini 3.5 Flash Lite and GLM 5.3
BenchmarkGemini 3.5 Flash LiteGLM 5.3Leader
LiveBench codingNot measured82.8%Only GLM 5.3 measured
LMArena WebDev14351621GLM 5.3
AA Coding Index49.374.8GLM 5.3
LiveCodeBench (Vals AI)79.0%80.5%GLM 5.3
SWE-bench Verified (Vals AI)75.0%95.4%GLM 5.3
Terminal-Bench 4 (Vals AI)Not measured38.9%Only GLM 5.3 measured
Vibe Code Bench (Vals AI)37.2%78.1%GLM 5.3
Code migration (Vals AI)6.2%44.2%GLM 5.3
ProgramBench (Vals AI)0.0%1.5%GLM 5.3
IOI (Vals AI)Not measured68.4%Only GLM 5.3 measured
Terminal-Bench 2.1 (Vals AI)50.2%71.5%GLM 5.3
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)59.1%72.1%GLM 5.3
SciCode41.3%59.0%GLM 5.3
FrontierCodeNot measured40.1%Only GLM 5.3 measured
FrontierSWENot measured30.2%Only GLM 5.3 measured
WeirdML39.0%75.4%GLM 5.3
ALE-Bench765.31317.4GLM 5.3
LMArena Text: coding14531497GLM 5.3
LMArena Text: software and IT14511493GLM 5.3
LMArena WebDev: React14081641GLM 5.3
LMArena WebDev: HTMLNot measured1595Only GLM 5.3 measured
LMArena WebDev: from an image1448Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.5 Flash Lite and GLM 5.3
BenchmarkGemini 3.5 Flash LiteGLM 5.3Leader
AA Intelligence Index22.244.8GLM 5.3
Epoch Capabilities Index144.9156.0GLM 5.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index06
Agentic work benchmarks for Gemini 3.5 Flash Lite and GLM 5.3
BenchmarkGemini 3.5 Flash LiteGLM 5.3Leader
AA Agentic Index14.353.1GLM 5.3
Design Arena: agents building mobile appsNot measured1194Only GLM 5.3 measured
Design Arena: HTML slidesNot measured1189Only GLM 5.3 measured
Design Arena: PowerPoint slidesNot measured1255Only GLM 5.3 measured
LiveBench researchNot measured73.2%Only GLM 5.3 measured
LiveBench browserNot measured0.0%Only GLM 5.3 measured
LiveBench long agenticNot measured35.9%Only GLM 5.3 measured
SREBench (Vals AI)Not measured9.2%Only GLM 5.3 measured
Finance Agent (Vals AI)47.4%55.8%GLM 5.3
Tax Agent Bench (Vals AI)7.2%39.7%GLM 5.3
Legal Research Bench (Vals AI)13.9%49.0%GLM 5.3
Harvey's Legal Agent Benchmark (Vals AI)Not measured14.6%Only GLM 5.3 measured
Excel Modeling Benchmark (Vals AI)43.2%56.3%GLM 5.3
Terminal-Bench-Science (Vals AI)Not measured5.7%Only GLM 5.3 measured
APEX-Agents29.3%56.6%GLM 5.3
Vending-Bench 2Not measured$8,164Only GLM 5.3 measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for Gemini 3.5 Flash Lite and GLM 5.3
BenchmarkGemini 3.5 Flash LiteGLM 5.3Leader
GPQA Diamond83.8%88.1%GLM 5.3
LiveBench reasoningNot measured85.8%Only GLM 5.3 measured
MysteryMechanism (Vals AI)Not measured23.0%Only GLM 5.3 measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)83.8%91.7%GLM 5.3
Humanity's Last Exam (Artificial Analysis run)18.8%42.3%GLM 5.3
GPQA Diamond (Epoch AI run)83.3%90.9%GLM 5.3
ARC-AGI53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
ARC-AGI-210.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Chess puzzles21.0%37.0%GLM 5.3
Mystery game puzzles19.0%33.0%GLM 5.3
LMArena Text: hard prompts14411490GLM 5.3
LMArena Text: expert14341514GLM 5.3
LMArena Text: hard prompts in English14401496GLM 5.3
LMArena Vision: diagrams1284Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: homework1291Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for Gemini 3.5 Flash Lite and GLM 5.3
BenchmarkGemini 3.5 Flash LiteGLM 5.3Leader
OTIS Mock AIME71.1%91.1%GLM 5.3
FrontierMath, tiers 1 to 326.0%68.8%GLM 5.3
FrontierMath, tier 40.0%29.3%GLM 5.3
ProofBench13.0%49.0%GLM 5.3
LMArena Text: math14341495GLM 5.3
LMArena Text: mathematical work14331497GLM 5.3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index26
Knowledge benchmarks for Gemini 3.5 Flash Lite and GLM 5.3
BenchmarkGemini 3.5 Flash LiteGLM 5.3Leader
MMLU Pro85.8%86.8%GLM 5.3
LegalBench (Vals AI)84.1%84.8%GLM 5.3
CorpFin (Vals AI)60.7%Not measuredOnly Gemini 3.5 Flash Lite measured
TaxEval (Vals AI)72.6%72.4%Gemini 3.5 Flash Lite
MortgageTax (Vals AI)68.7%Not measuredOnly Gemini 3.5 Flash Lite measured
MedCode (Vals AI)43.5%42.9%Gemini 3.5 Flash Lite
SimpleQA VerifiedNot measured41.0%Only GLM 5.3 measured
LMArena Text: science14511498GLM 5.3
LMArena Text: medicine and healthcare14381481GLM 5.3
LMArena Text: legal and government14311473GLM 5.3
LMArena Text: business and finance14231459GLM 5.3
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Gemini 3.5 Flash Lite and GLM 5.3
BenchmarkGemini 3.5 Flash LiteGLM 5.3Leader
Design Arena: websitesNot measured1295Only GLM 5.3 measured
Design Arena: UI componentsNot measured1314Only GLM 5.3 measured
Design Arena: game devNot measured1311Only GLM 5.3 measured
Design Arena: data vizNot measured1260Only GLM 5.3 measured
Design Arena: 3DNot measured1332Only GLM 5.3 measured
Design Arena: all code categoriesNot measured1304Only GLM 5.3 measured
Design Arena: SVGNot measured1292Only GLM 5.3 measured
Design Arena: ASCII artNot measured1213Only GLM 5.3 measured
LiveBench designNot measured77.3%Only GLM 5.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index022
General benchmarks for Gemini 3.5 Flash Lite and GLM 5.3
BenchmarkGemini 3.5 Flash LiteGLM 5.3Leader
Vals IndexNot measured59.7%Only GLM 5.3 measured
LiveBench data analysisNot measured70.2%Only GLM 5.3 measured
Public Benefits Bench (Vals AI)51.8%68.5%GLM 5.3
SAGE (Vals AI)47.3%Not measuredOnly Gemini 3.5 Flash Lite measured
MedScribe (Vals AI)70.9%88.8%GLM 5.3
Long context reasoning (AA-LCR)76.0%79.7%GLM 5.3
DTBench83.5%87.7%GLM 5.3
LMCA37.6%55.5%GLM 5.3
LMArena Text14351474GLM 5.3
LMArena Text: instruction following14191479GLM 5.3
LMArena Text: creative writing14211458GLM 5.3
LMArena Vision1269Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: English14381482GLM 5.3
LMArena Text: non-English14271459GLM 5.3
LMArena Text: Chinese14681532GLM 5.3
LMArena Text: German14541488GLM 5.3
LMArena Text: Japanese14261460GLM 5.3
LMArena Text: Korean14071460GLM 5.3
LMArena Text: French14511503GLM 5.3
LMArena Text: Spanish14411462GLM 5.3
LMArena Text: Russian14431469GLM 5.3
LMArena Text: Polish14371466GLM 5.3
LMArena Text: multi-turn14451472GLM 5.3
LMArena Text: longer queries14351483GLM 5.3
LMArena Text: writing and language14281469GLM 5.3
LMArena Text: entertainment and media14141447GLM 5.3
LMArena Vision: English1269Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: Chinese1311Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: reading text1280Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: humor1287Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: creative writing1260Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.5 Flash Lite and GLM 5.3
BenchmarkGemini 3.5 Flash LiteGLM 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 3.5 Flash Lite$0.0015Fits in one request
GLM 5.3$0.0008Fits in one request

GLM 5.3 costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash Lite$0.022Fits in one request
GLM 5.3$0.0081Fits in one request

GLM 5.3 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash Lite$0.085Fits in one request
GLM 5.3$0.030Fits 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 3.5 Flash Lite and GLM 5.3
SpecificationGoogle Gemini 3.5 Flash LiteZ.ai GLM 5.3
MakerGoogleZ.ai
WeightsNo public weights listedOpen weights
ReleasedJuly 21, 2026August 18, 2026
Context window1.05M1.05M
Input $/Mtok$0.30$0.079
Output $/Mtok$2.50$1.40
Coding index33.673.1
Independent measurements behind it12
Cost per solved task$0.41$0.36
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash Lite better than GLM 5.3 for coding?

Pick GLM 5.3 for coding: it scores 73.1 on the Vibe Coding Index against 33.6 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite when what matters is TaxEval (Vals AI) or MedCode (Vals AI), where it leads.

Which is cheaper, Gemini 3.5 Flash Lite or GLM 5.3?

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; GLM 5.3 costs $0.079 and $1.40. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and GLM 5.3 $0.36.

Which has the bigger context window, Gemini 3.5 Flash Lite or GLM 5.3?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.5 Flash Lite vs GLM 5.3 comparison based on?

68 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash Lite's coding index rests on 1 independent benchmark and GLM 5.3's on 2. Where only one model has a result, the page says so instead of naming a winner.

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