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Gemini 3.5 Flash vs GLM 5.3

GLM 5.3 leads Gemini 3.5 Flash on coding, 70.6 to 39.8 on the Vibe Coding Index, and GLM 5.3 costs 2.0x less per output token ($4.40 vs $9.00 per million). Updated October 22, 2026; 82 benchmarks have a result for both.

Replace Gemini 3.5 Flash Replace GLM 5.3
Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
33
GLM 5.3Z.ai
Coding
70.6
Overall
67.9
Output $/M
$4.40
48
vs boards won of 82 shared, 1 tied

Gemini 3.5 Flash or GLM 5.3: which to pick

Pick GLM 5.3 for coding: it scores 70.6 on the Vibe Coding Index against 39.8 for Gemini 3.5 Flash.

Pick Gemini 3.5 Flash for work measured by LiveCodeBench (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.

Model AGemini 3.5 FlashGoogle39.8/1004 independent benchmarks$1.21 per solved taskModel BGLM 5.3Z.ai70.6/1006 independent benchmarks$0.36 per solved task
Shared results
82
Gemini 3.5 Flash only
30
GLM 5.3 only
18
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 3.5 Flash 39.8 from 4 benchmarks, GLM 5.3 70.6 from 6 benchmarks.
Widest category
Coding, 12.7 points apart on average over 16 shared benchmarks.
Widest single gap
Terminal-Bench 4 (Vals AI): Gemini 3.5 Flash 6.1% against GLM 5.3 38.9%, 43.8 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against GLM 5.3 $4.40 per million output tokens, 2.0x 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 FlashBarsGLM 5.3Ties
Coding412
Intelligence02
Agentic work271 tie
Reasoning54
Math24
Knowledge72
Web design17
General1210
All shared boards33481 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index412
Coding benchmarks for Gemini 3.5 Flash and GLM 5.3
BenchmarkGemini 3.5 FlashGLM 5.3Leader
LiveBench codingNot measured82.8%Only GLM 5.3 measured
LMArena WebDev14991621GLM 5.3
AA Coding IndexNot measured74.8Only GLM 5.3 measured
LiveCodeBench (Vals AI)87.6%80.5%Gemini 3.5 Flash
SWE-bench Verified (Vals AI)78.8%95.4%GLM 5.3
Terminal-Bench 4 (Vals AI)6.1%38.9%GLM 5.3
Vibe Code Bench (Vals AI)48.7%78.1%GLM 5.3
Code migration (Vals AI)26.8%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)74.2%71.5%Gemini 3.5 Flash
Vibe Code Bench 1-100 (Vals AI)Not measured20.0%Only GLM 5.3 measured
SkillsBench (Vals AI)52.7%47.5%Gemini 3.5 Flash
CyberBench (Vals AI)Not measured72.1%Only GLM 5.3 measured
SciCode53.9%59.0%GLM 5.3
Terminal-Bench Hard (Artificial Analysis run)46.2%Not measuredOnly Gemini 3.5 Flash measured
FrontierCodeNot measured40.1%Only GLM 5.3 measured
FrontierSWENot measured30.2%Only GLM 5.3 measured
WeirdML62.6%75.4%GLM 5.3
ALE-Bench911.01317.4GLM 5.3
LMArena Text: coding14931497GLM 5.3
LMArena Text: software and IT14941493Gemini 3.5 Flash
LMArena WebDev: React14951641GLM 5.3
LMArena WebDev: HTML15221595GLM 5.3
LMArena WebDev: from an image1504Not measuredOnly Gemini 3.5 Flash measured
SciCode12.3%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.5 Flash and GLM 5.3
BenchmarkGemini 3.5 FlashGLM 5.3Leader
AA Intelligence Index33.644.8GLM 5.3
Epoch Capabilities Index154.9156.0GLM 5.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index27
Agentic work benchmarks for Gemini 3.5 Flash and GLM 5.3
BenchmarkGemini 3.5 FlashGLM 5.3Leader
AA Agentic IndexNot measured53.1Only GLM 5.3 measured
Design Arena: agents building web apps1202Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building full-stack apps1197Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building mobile apps11741194GLM 5.3
Design Arena: agents building Android apps1185Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Godot games1098Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.5 Flash measured
Design Arena: HTML slides10931189GLM 5.3
Design Arena: PowerPoint slides11541230GLM 5.3
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)57.9%55.8%Gemini 3.5 Flash
Tax Agent Bench (Vals AI)21.6%39.7%GLM 5.3
Legal Research Bench (Vals AI)30.8%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)63.5%56.3%Gemini 3.5 Flash
Terminal-Bench-Science (Vals AI)5.7%5.7%Tie
τ²-Bench Telecom95.6%Not measuredOnly Gemini 3.5 Flash measured
APEX-Agents27.5%56.6%GLM 5.3
Vending-Bench 2$5,396$8,164GLM 5.3
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index54
Reasoning benchmarks for Gemini 3.5 Flash and GLM 5.3
BenchmarkGemini 3.5 FlashGLM 5.3Leader
GPQA Diamond92.7%88.1%Gemini 3.5 Flash
LiveBench reasoningNot measured85.8%Only GLM 5.3 measured
MysteryMechanism (Vals AI)Not measured23.0%Only GLM 5.3 measured
MMMU Pro (Vals AI)88.3%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)92.2%91.7%Gemini 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)42.7%42.3%Gemini 3.5 Flash
GPQA Diamond (Epoch AI run)92.8%90.9%Gemini 3.5 Flash
ARC-AGI92.5%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI-272.1%Not measuredOnly Gemini 3.5 Flash measured
SimpleBench76.7%Not measuredOnly Gemini 3.5 Flash measured
Chess puzzles45.0%37.0%Gemini 3.5 Flash
Mystery game puzzles32.0%33.0%GLM 5.3
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts14881490GLM 5.3
LMArena Text: expert14951514GLM 5.3
LMArena Text: hard prompts in English14831496GLM 5.3
LMArena Vision: diagrams1323Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: homework1330Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for Gemini 3.5 Flash and GLM 5.3
BenchmarkGemini 3.5 FlashGLM 5.3Leader
OTIS Mock AIME95.6%91.1%Gemini 3.5 Flash
FrontierMath, tiers 1 to 362.8%68.8%GLM 5.3
FrontierMath, tier 426.8%29.3%GLM 5.3
ProofBench31.0%49.0%GLM 5.3
LMArena Text: math15041495Gemini 3.5 Flash
LMArena Text: mathematical work14951497GLM 5.3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index72
Knowledge benchmarks for Gemini 3.5 Flash and GLM 5.3
BenchmarkGemini 3.5 FlashGLM 5.3Leader
MMLU Pro89.5%86.8%Gemini 3.5 Flash
LegalBench (Vals AI)83.6%84.8%GLM 5.3
CorpFin (Vals AI)64.7%Not measuredOnly Gemini 3.5 Flash measured
TaxEval (Vals AI)74.4%72.4%Gemini 3.5 Flash
MortgageTax (Vals AI)68.1%Not measuredOnly Gemini 3.5 Flash measured
MedCode (Vals AI)55.8%42.9%Gemini 3.5 Flash
SimpleQA Verified66.2%41.0%Gemini 3.5 Flash
LMArena Text: science14951498GLM 5.3
LMArena Text: medicine and healthcare14831481Gemini 3.5 Flash
LMArena Text: legal and government14881473Gemini 3.5 Flash
LMArena Text: business and finance14671459Gemini 3.5 Flash
FACTS Benchmark Suite63.1%Not measuredOnly Gemini 3.5 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 index17
Web design benchmarks for Gemini 3.5 Flash and GLM 5.3
BenchmarkGemini 3.5 FlashGLM 5.3Leader
Design Arena: websites12671295GLM 5.3
Design Arena: UI components12691314GLM 5.3
Design Arena: game dev12631311GLM 5.3
Design Arena: data viz12361260GLM 5.3
Design Arena: 3D12431332GLM 5.3
Design Arena: all code categories12661304GLM 5.3
Design Arena: SVG12531294GLM 5.3
Design Arena: ASCII art12541208Gemini 3.5 Flash
LiveBench designNot measured77.3%Only GLM 5.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index1210
General benchmarks for Gemini 3.5 Flash and GLM 5.3
BenchmarkGemini 3.5 FlashGLM 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)59.5%68.5%GLM 5.3
SAGE (Vals AI)49.9%Not measuredOnly Gemini 3.5 Flash measured
MedScribe (Vals AI)76.6%88.8%GLM 5.3
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%Not measuredOnly Gemini 3.5 Flash measured
Long context reasoning (AA-LCR)74.3%79.7%GLM 5.3
DTBench94.7%87.7%Gemini 3.5 Flash
LMCA47.1%55.5%GLM 5.3
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text14821474Gemini 3.5 Flash
LMArena Text: instruction following14671479GLM 5.3
LMArena Text: creative writing14701458Gemini 3.5 Flash
LMArena Vision1308Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: English14811482GLM 5.3
LMArena Text: non-English14751459Gemini 3.5 Flash
LMArena Text: Chinese15271532GLM 5.3
LMArena Text: German14941488Gemini 3.5 Flash
LMArena Text: Japanese14861460Gemini 3.5 Flash
LMArena Text: Korean14481460GLM 5.3
LMArena Text: French14901503GLM 5.3
LMArena Text: Spanish14801462Gemini 3.5 Flash
LMArena Text: Russian14931469Gemini 3.5 Flash
LMArena Text: Polish15161466Gemini 3.5 Flash
LMArena Text: multi-turn14811472Gemini 3.5 Flash
LMArena Text: longer queries14831483GLM 5.3
LMArena Text: writing and language14781469Gemini 3.5 Flash
LMArena Text: entertainment and media14591447Gemini 3.5 Flash
LMArena Vision: English1305Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: Chinese1377Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: reading text1317Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: humor1321Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: creative writing1301Not measuredOnly Gemini 3.5 Flash measured
LMArena Document1463Not measuredOnly Gemini 3.5 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 3.5 Flash and GLM 5.3
BenchmarkGemini 3.5 FlashGLM 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$0.0060Fits in one request
GLM 5.3$0.0036Fits in one request

GLM 5.3 costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
GLM 5.3$0.083Fits in one request

GLM 5.3 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits 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 3.5 Flash and GLM 5.3
SpecificationGoogle Gemini 3.5 FlashZ.ai GLM 5.3
MakerGoogleZ.ai
WeightsNo public weights listedOpen weights
ReleasedMay 19, 2026August 18, 2026
Context window1.05M1.05M
Input $/Mtok$1.50$1.40
Output $/Mtok$9.00$4.40
Coding index39.870.6
Independent measurements behind it46
Cost per solved task$1.21$0.36
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than GLM 5.3 for coding?

Pick GLM 5.3 for coding: it scores 70.6 on the Vibe Coding Index against 39.8 for Gemini 3.5 Flash. Pick Gemini 3.5 Flash for work measured by LiveCodeBench (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.

Which is cheaper, Gemini 3.5 Flash or GLM 5.3?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; GLM 5.3 costs $1.40 and $4.40. Per solved SWE-bench Verified task, Gemini 3.5 Flash costs $1.21 and GLM 5.3 $0.36.

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

Neither: both take 1.05M tokens.

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

82 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash's coding index rests on 4 independent benchmarks and GLM 5.3's on 6. Where only one model has a result, the page says so instead of naming a winner.

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