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Gemini 3.6 Flash vs GLM 5.2

Gemini 3.6 Flash leads GLM 5.2 on coding, 62.5 to 61.1 on the Vibe Coding Index, at about the same output price ($3.75 vs $4.40 per million). Updated October 22, 2026; 85 benchmarks have a result for both.

Replace Gemini 3.6 Flash Replace GLM 5.2
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
68.3
Output $/M
$3.75
55
GLM 5.2Z.ai
Coding
61.1
Overall
62.5
Output $/M
$4.40
29
vs boards won of 85 shared, 1 tied

Gemini 3.6 Flash or GLM 5.2: which to pick

Gemini 3.6 Flash and GLM 5.2 are level for coding, 62.5 against 61.1 on the Vibe Coding Index, so price and context decide.

Pick GLM 5.2 for a lower cost per solved task ($0.86 against $1.49) and work measured by LMArena WebDev or SWE-bench Verified (Vals AI), where it leads. Pick Gemini 3.6 Flash for output tokens 1.2x cheaper ($3.75 vs $4.40 per million) and work measured by AA Coding Index or LiveCodeBench (Vals AI), where it leads.

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved taskModel BGLM 5.2Z.ai61.1/1004 independent benchmarks$0.86 per solved task
Shared results
85
Gemini 3.6 Flash only
24
GLM 5.2 only
13
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 5.2 61.1 from 4 benchmarks.
Widest category
Reasoning, 8.9 points apart on average over 11 shared benchmarks.
Widest single gap
ARC-AGI-2: Gemini 3.6 Flash 60.4% against GLM 5.2 22.8%, 37.6 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against GLM 5.2 $4.40 per million output tokens, 1.2x 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 5.2Ties
Coding88
Intelligence20
Agentic work57
Reasoning101
Math42
Knowledge64
Web design421 tie
General165
All shared boards55291 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index88
Coding benchmarks for Gemini 3.6 Flash and GLM 5.2
BenchmarkGemini 3.6 FlashGLM 5.2Leader
LMArena WebDev15381604GLM 5.2
AA Coding Index69.268.8Gemini 3.6 Flash
LiveCodeBench (Vals AI)88.1%69.5%Gemini 3.6 Flash
SWE-bench Verified (Vals AI)79.6%82.8%GLM 5.2
Vibe Code Bench (Vals AI)64.0%64.0%Gemini 3.6 Flash
Code migration (Vals AI)30.9%37.9%GLM 5.2
ProgramBench (Vals AI)0.0%0.5%GLM 5.2
IOI (Vals AI)35.1%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)73.8%67.8%Gemini 3.6 Flash
SkillsBench (Vals AI)Not measured45.1%Only GLM 5.2 measured
CyberBench (Vals AI)45.4%Not measuredOnly Gemini 3.6 Flash measured
SciCode53.4%51.2%Gemini 3.6 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured50.8%Only GLM 5.2 measured
FrontierCode34.4%24.5%Gemini 3.6 Flash
WeirdML56.1%70.1%GLM 5.2
ALE-Bench715.51047.0GLM 5.2
LMArena Text: coding14911487Gemini 3.6 Flash
LMArena Text: software and IT14921486Gemini 3.6 Flash
LMArena WebDev: React15281617GLM 5.2
LMArena WebDev: HTML15471565GLM 5.2
LMArena WebDev: from an image1545Not measuredOnly Gemini 3.6 Flash measured
SciCode10.8%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.6 Flash and GLM 5.2
BenchmarkGemini 3.6 FlashGLM 5.2Leader
AA Intelligence Index34.033.7Gemini 3.6 Flash
Epoch Capabilities Index154.5151.9Gemini 3.6 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index57
Agentic work benchmarks for Gemini 3.6 Flash and GLM 5.2
BenchmarkGemini 3.6 FlashGLM 5.2Leader
AA Agentic Index29.038.4GLM 5.2
Design Arena: agents building web apps11971222GLM 5.2
Design Arena: agents building full-stack apps11811241GLM 5.2
Design Arena: agents building mobile apps11981159Gemini 3.6 Flash
Design Arena: agents building Android apps12041178Gemini 3.6 Flash
Design Arena: agents building Godot gamesNot measured1142Only GLM 5.2 measured
Design Arena: agents building games11801206GLM 5.2
Design Arena: HTML slides10991125GLM 5.2
Design Arena: PowerPoint slides11211170GLM 5.2
Design Arena: spreadsheets1071Not measuredOnly Gemini 3.6 Flash measured
SREBench (Vals AI)Not measured0.0%Only GLM 5.2 measured
Finance Agent (Vals AI)56.3%49.7%Gemini 3.6 Flash
Tax Agent Bench (Vals AI)18.0%Not measuredOnly Gemini 3.6 Flash measured
Legal Research Bench (Vals AI)25.0%31.3%GLM 5.2
Excel Modeling Benchmark (Vals AI)65.4%61.5%Gemini 3.6 Flash
BioMysteryBench (Vals AI)58.5%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Gemini 3.6 Flash measured
τ²-Bench TelecomNot measured99.1%Only GLM 5.2 measured
APEX-Agents46.9%45.2%Gemini 3.6 Flash
PostTrainBenchNot measured31.7%Only GLM 5.2 measured
Vending-Bench 2Not measured$8,314Only GLM 5.2 measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index101
Reasoning benchmarks for Gemini 3.6 Flash and GLM 5.2
BenchmarkGemini 3.6 FlashGLM 5.2Leader
GPQA Diamond93.4%85.6%Gemini 3.6 Flash
MMMU Pro (Vals AI)88.4%Not measuredOnly Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)92.8%89.5%Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)40.8%41.1%GLM 5.2
GPQA Diamond (Epoch AI run)94.1%91.9%Gemini 3.6 Flash
ARC-AGI91.2%77.0%Gemini 3.6 Flash
ARC-AGI-260.4%22.8%Gemini 3.6 Flash
SimpleBenchNot measured58.8%Only GLM 5.2 measured
Chess puzzles42.0%22.0%Gemini 3.6 Flash
Mystery game puzzles30.0%19.0%Gemini 3.6 Flash
EBR-benchNot measured9.5%Only GLM 5.2 measured
LMArena Text: hard prompts14861481Gemini 3.6 Flash
LMArena Text: expert14901487Gemini 3.6 Flash
LMArena Text: hard prompts in English14841481Gemini 3.6 Flash
LMArena Vision: diagrams1314Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: homework1314Not measuredOnly Gemini 3.6 Flash measured
Kagi LLM BenchmarkNot measured62.6%Only GLM 5.2 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index42
Math benchmarks for Gemini 3.6 Flash and GLM 5.2
BenchmarkGemini 3.6 FlashGLM 5.2Leader
OTIS Mock AIME94.2%86.4%Gemini 3.6 Flash
FrontierMath, tiers 1 to 358.9%59.2%GLM 5.2
FrontierMath, tier 422.0%29.3%GLM 5.2
ProofBench36.0%35.0%Gemini 3.6 Flash
LMArena Text: math15081483Gemini 3.6 Flash
LMArena Text: mathematical work14921489Gemini 3.6 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index64
Knowledge benchmarks for Gemini 3.6 Flash and GLM 5.2
BenchmarkGemini 3.6 FlashGLM 5.2Leader
MMLU Pro89.3%86.7%Gemini 3.6 Flash
LegalBench (Vals AI)86.7%84.1%Gemini 3.6 Flash
CorpFin (Vals AI)63.3%66.1%GLM 5.2
TaxEval (Vals AI)74.9%73.3%Gemini 3.6 Flash
MortgageTax (Vals AI)67.6%Not measuredOnly Gemini 3.6 Flash measured
MedCode (Vals AI)53.1%40.8%Gemini 3.6 Flash
SimpleQA Verified66.2%34.2%Gemini 3.6 Flash
LMArena Text: science14891489GLM 5.2
LMArena Text: medicine and healthcare14691475GLM 5.2
LMArena Text: legal and government14791486GLM 5.2
LMArena Text: business and finance14641451Gemini 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 index42
Web design benchmarks for Gemini 3.6 Flash and GLM 5.2
BenchmarkGemini 3.6 FlashGLM 5.2Leader
Design Arena: websites13001285Gemini 3.6 Flash
Design Arena: UI components12941294Tie
Design Arena: game dev12631268GLM 5.2
Design Arena: data viz12891285Gemini 3.6 Flash
Design Arena: 3D12711287GLM 5.2
Design Arena: all code categories12891287Gemini 3.6 Flash
Design Arena: SVGNot measured1213Only GLM 5.2 measured
Design Arena: ASCII art12811191Gemini 3.6 Flash
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index165
General benchmarks for Gemini 3.6 Flash and GLM 5.2
BenchmarkGemini 3.6 FlashGLM 5.2Leader
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%83.5%GLM 5.2
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
IFBenchNot measured73.3%Only GLM 5.2 measured
Long context reasoning (AA-LCR)80.0%78.3%Gemini 3.6 Flash
DTBench95.5%93.6%Gemini 3.6 Flash
LMCA44.9%45.8%GLM 5.2
Surface Evolver BenchNot measured55.6%Only GLM 5.2 measured
Furniture assembly23.3%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text14801470Gemini 3.6 Flash
LMArena Text: instruction following14671466Gemini 3.6 Flash
LMArena Text: creative writing14661463Gemini 3.6 Flash
LMArena Vision1299Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: English14821475Gemini 3.6 Flash
LMArena Text: non-English14701459Gemini 3.6 Flash
LMArena Text: Chinese15311522Gemini 3.6 Flash
LMArena Text: German14801470Gemini 3.6 Flash
LMArena Text: Japanese14751450Gemini 3.6 Flash
LMArena Text: Korean14291440GLM 5.2
LMArena Text: French15031479Gemini 3.6 Flash
LMArena Text: Spanish14761478GLM 5.2
LMArena Text: Russian14881468Gemini 3.6 Flash
LMArena Text: Polish14731456Gemini 3.6 Flash
LMArena Text: multi-turn14811469Gemini 3.6 Flash
LMArena Text: longer queries14751480GLM 5.2
LMArena Text: writing and language14701463Gemini 3.6 Flash
LMArena Text: entertainment and media14561450Gemini 3.6 Flash
LMArena Vision: English1295Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: Chinese1357Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: reading text1312Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: humor1289Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: creative writing1278Not measuredOnly Gemini 3.6 Flash measured
LMArena Document1456Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 12 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 5.2
BenchmarkGemini 3.6 FlashGLM 5.2Leader
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 5.2$0.0036Fits in one request

Gemini 3.6 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 Flash$0.049Fits in one request
GLM 5.2$0.083Fits in one request

Gemini 3.6 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.6 Flash$0.188Fits in one request
GLM 5.2$0.324Fits in one request

Gemini 3.6 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 5.2
SpecificationGoogle Gemini 3.6 FlashZ.ai GLM 5.2
MakerGoogleZ.ai
WeightsNo public weights listedOpen weights
ReleasedJuly 21, 2026June 16, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$1.40
Output $/Mtok$3.75$4.40
Coding index62.561.1
Independent measurements behind it44
Cost per solved task$1.49$0.86
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than GLM 5.2 for coding?

Gemini 3.6 Flash and GLM 5.2 are level for coding, 62.5 against 61.1 on the Vibe Coding Index, so price and context decide. Pick GLM 5.2 for a lower cost per solved task ($0.86 against $1.49) and work measured by LMArena WebDev or SWE-bench Verified (Vals AI), where it leads. Pick Gemini 3.6 Flash for output tokens 1.2x cheaper ($3.75 vs $4.40 per million) and work measured by AA Coding Index or LiveCodeBench (Vals AI), where it leads.

Which is cheaper, Gemini 3.6 Flash or GLM 5.2?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GLM 5.2 costs $1.40 and $4.40. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and GLM 5.2 $0.86.

Which has the bigger context window, Gemini 3.6 Flash or GLM 5.2?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.6 Flash vs GLM 5.2 comparison based on?

85 benchmarks have a result for both models as of October 22, 2026. Gemini 3.6 Flash's coding index rests on 4 independent benchmarks and GLM 5.2's on 4. 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-5-2">LLMBenchmark.ai, Gemini 3.6 Flash vs GLM 5.2</a></p>