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Gemini 3.7 Flash vs GLM 5.3

GLM 5.3 leads Gemini 3.7 Flash on coding, 70.6 to 58.0 on the Vibe Coding Index, at about the same output price ($4.40 vs $3.75 per million). Updated October 22, 2026; 90 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace GLM 5.3
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
61
GLM 5.3Z.ai
Coding
70.6
Overall
67.9
Output $/M
$4.40
29
vs boards won of 90 shared

Gemini 3.7 Flash or GLM 5.3: which to pick

Pick GLM 5.3 for coding: it scores 70.6 on the Vibe Coding Index against 58.0 for Gemini 3.7 Flash.

Pick Gemini 3.7 Flash for output tokens 1.2x cheaper ($3.75 vs $4.40 per million) and work measured by LiveCodeBench (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BGLM 5.3Z.ai70.6/1006 independent benchmarks$0.36 per solved task
Shared results
90
Gemini 3.7 Flash only
24
GLM 5.3 only
10
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 3.7 Flash 58.0 from 6 benchmarks, GLM 5.3 70.6 from 6 benchmarks.
Widest category
Agentic work, 12.5 points apart on average over 11 shared benchmarks.
Widest single gap
LiveBench browser: Gemini 3.7 Flash 56.0% against GLM 5.3 0.0%, 56.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against GLM 5.3 $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 3.7 FlashBarsGLM 5.3Ties
Coding714
Intelligence11
Agentic work74
Reasoning82
Math60
Knowledge90
Web design54
General184
All shared boards6129
CodingLike-for-likeSix of these boards feed the Vibe Coding Index714
Coding benchmarks for Gemini 3.7 Flash and GLM 5.3
BenchmarkGemini 3.7 FlashGLM 5.3Leader
LiveBench coding80.5%82.8%GLM 5.3
LMArena WebDev15911621GLM 5.3
AA Coding Index71.574.8GLM 5.3
LiveCodeBench (Vals AI)88.7%80.5%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)80.8%95.4%GLM 5.3
Terminal-Bench 4 (Vals AI)12.1%38.9%GLM 5.3
Vibe Code Bench (Vals AI)70.4%78.1%GLM 5.3
Code migration (Vals AI)34.8%44.2%GLM 5.3
ProgramBench (Vals AI)0.0%1.5%GLM 5.3
IOI (Vals AI)67.8%68.4%GLM 5.3
Terminal-Bench 2.1 (Vals AI)77.5%71.5%Gemini 3.7 Flash
Vibe Code Bench 1-100 (Vals AI)Not measured20.0%Only GLM 5.3 measured
SkillsBench (Vals AI)65.9%47.5%Gemini 3.7 Flash
CyberBench (Vals AI)43.8%72.1%GLM 5.3
SciCode59.8%59.0%Gemini 3.7 Flash
FrontierCode43.6%40.1%Gemini 3.7 Flash
FrontierSWE20.3%30.2%GLM 5.3
WeirdMLNot measured75.4%Only GLM 5.3 measured
ALE-Bench904.31317.4GLM 5.3
LMArena Text: coding14991497Gemini 3.7 Flash
LMArena Text: software and IT14981493Gemini 3.7 Flash
LMArena WebDev: React15871641GLM 5.3
LMArena WebDev: HTML15931595GLM 5.3
LMArena WebDev: from an image1599Not measuredOnly Gemini 3.7 Flash measured
SciCode13.8%Not measuredOnly Gemini 3.7 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 3.7 Flash and GLM 5.3
BenchmarkGemini 3.7 FlashGLM 5.3Leader
AA Intelligence Index39.644.8GLM 5.3
Epoch Capabilities Index158.0156.0Gemini 3.7 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index74
Agentic work benchmarks for Gemini 3.7 Flash and GLM 5.3
BenchmarkGemini 3.7 FlashGLM 5.3Leader
AA Agentic IndexNot measured53.1Only GLM 5.3 measured
Design Arena: agents building web apps1223Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building full-stack apps1208Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building mobile apps12291194Gemini 3.7 Flash
Design Arena: agents building Android apps1243Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Godot games1264Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building games1235Not measuredOnly Gemini 3.7 Flash measured
Design Arena: HTML slidesNot measured1189Only GLM 5.3 measured
Design Arena: PowerPoint slidesNot measured1230Only GLM 5.3 measured
Design Arena: spreadsheets1058Not measuredOnly Gemini 3.7 Flash measured
LiveBench research76.5%73.2%Gemini 3.7 Flash
LiveBench browser56.0%0.0%Gemini 3.7 Flash
LiveBench long agentic28.3%35.9%GLM 5.3
SREBench (Vals AI)4.6%9.2%GLM 5.3
Finance Agent (Vals AI)59.0%55.8%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%39.7%GLM 5.3
Legal Research Bench (Vals AI)34.6%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)71.3%56.3%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%5.7%Gemini 3.7 Flash
APEX-Agents67.8%56.6%Gemini 3.7 Flash
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
Vending-Bench 2Not measured$8,164Only GLM 5.3 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index82
Reasoning benchmarks for Gemini 3.7 Flash and GLM 5.3
BenchmarkGemini 3.7 FlashGLM 5.3Leader
GPQA Diamond93.9%88.1%Gemini 3.7 Flash
LiveBench reasoning87.8%85.8%Gemini 3.7 Flash
MysteryMechanism (Vals AI)Not measured23.0%Only GLM 5.3 measured
MMMU Pro (Vals AI)89.0%Not measuredOnly Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)94.5%91.7%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%42.3%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)94.8%90.9%Gemini 3.7 Flash
ARC-AGI95.5%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI-284.6%Not measuredOnly Gemini 3.7 Flash measured
Chess puzzles66.0%37.0%Gemini 3.7 Flash
Mystery game puzzles37.0%33.0%Gemini 3.7 Flash
LMArena Text: hard prompts14951490Gemini 3.7 Flash
LMArena Text: expert15121514GLM 5.3
LMArena Text: hard prompts in English14871496GLM 5.3
LMArena Vision: diagrams1329Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: homework1320Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Gemini 3.7 Flash and GLM 5.3
BenchmarkGemini 3.7 FlashGLM 5.3Leader
OTIS Mock AIME97.2%91.1%Gemini 3.7 Flash
FrontierMath, tiers 1 to 371.6%68.8%Gemini 3.7 Flash
FrontierMath, tier 436.6%29.3%Gemini 3.7 Flash
ProofBench58.0%49.0%Gemini 3.7 Flash
LMArena Text: math15111495Gemini 3.7 Flash
LMArena Text: mathematical work15021497Gemini 3.7 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Gemini 3.7 Flash and GLM 5.3
BenchmarkGemini 3.7 FlashGLM 5.3Leader
MMLU Pro90.1%86.8%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%84.8%Gemini 3.7 Flash
TaxEval (Vals AI)74.7%72.4%Gemini 3.7 Flash
MortgageTax (Vals AI)66.7%Not measuredOnly Gemini 3.7 Flash measured
MedCode (Vals AI)53.4%42.9%Gemini 3.7 Flash
SimpleQA Verified69.2%41.0%Gemini 3.7 Flash
LMArena Text: science15111498Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941481Gemini 3.7 Flash
LMArena Text: legal and government14961473Gemini 3.7 Flash
LMArena Text: business and finance14791459Gemini 3.7 Flash
FACTS Benchmark Suite71.2%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index54
Web design benchmarks for Gemini 3.7 Flash and GLM 5.3
BenchmarkGemini 3.7 FlashGLM 5.3Leader
Design Arena: websites13031295Gemini 3.7 Flash
Design Arena: UI components12961314GLM 5.3
Design Arena: game dev13171311Gemini 3.7 Flash
Design Arena: data viz13151260Gemini 3.7 Flash
Design Arena: 3D13071332GLM 5.3
Design Arena: all code categories13081304Gemini 3.7 Flash
Design Arena: SVG12831294GLM 5.3
Design Arena: ASCII art12761208Gemini 3.7 Flash
LiveBench design73.2%77.3%GLM 5.3
GeneralLike-for-likePublic boards, shown as published, kept out of the index184
General benchmarks for Gemini 3.7 Flash and GLM 5.3
BenchmarkGemini 3.7 FlashGLM 5.3Leader
Vals IndexNot measured59.7%Only GLM 5.3 measured
LiveBench data analysis68.0%70.2%GLM 5.3
Public Benefits Bench (Vals AI)Not measured68.5%Only GLM 5.3 measured
SAGE (Vals AI)49.2%Not measuredOnly Gemini 3.7 Flash measured
MedScribe (Vals AI)83.9%88.8%GLM 5.3
Long context reasoning (AA-LCR)83.0%79.7%Gemini 3.7 Flash
DTBench96.8%87.7%Gemini 3.7 Flash
LMCA50.4%55.5%GLM 5.3
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text14891474Gemini 3.7 Flash
LMArena Text: instruction following14841479Gemini 3.7 Flash
LMArena Text: creative writing14881458Gemini 3.7 Flash
LMArena Vision1314Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: English14831482Gemini 3.7 Flash
LMArena Text: non-English14871459Gemini 3.7 Flash
LMArena Text: Chinese15521532Gemini 3.7 Flash
LMArena Text: German15061488Gemini 3.7 Flash
LMArena Text: Japanese15111460Gemini 3.7 Flash
LMArena Text: Korean14811460Gemini 3.7 Flash
LMArena Text: French15001503GLM 5.3
LMArena Text: Spanish14951462Gemini 3.7 Flash
LMArena Text: Russian15151469Gemini 3.7 Flash
LMArena Text: Polish15031466Gemini 3.7 Flash
LMArena Text: multi-turn14851472Gemini 3.7 Flash
LMArena Text: longer queries14921483Gemini 3.7 Flash
LMArena Text: writing and language14911469Gemini 3.7 Flash
LMArena Text: entertainment and media14771447Gemini 3.7 Flash
LMArena Vision: English1309Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: Chinese1394Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: reading text1322Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: humor1299Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: creative writing1312Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.7 Flash and GLM 5.3
BenchmarkGemini 3.7 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 3.7 Flash$0.0026Fits in one request
GLM 5.3$0.0036Fits in one request

Gemini 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
GLM 5.3$0.083Fits in one request

Gemini 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request
GLM 5.3$0.324Fits in one request

Gemini 3.7 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 3.7 Flash and GLM 5.3
SpecificationGoogle Gemini 3.7 FlashZ.ai GLM 5.3
MakerGoogleZ.ai
WeightsNo public weights listedOpen weights
ReleasedAugust 13, 2026August 18, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$1.40
Output $/Mtok$3.75$4.40
Coding index58.070.6
Independent measurements behind it66
Cost per solved task$1.78$0.36
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than GLM 5.3 for coding?

Pick GLM 5.3 for coding: it scores 70.6 on the Vibe Coding Index against 58.0 for Gemini 3.7 Flash. Pick Gemini 3.7 Flash for output tokens 1.2x cheaper ($3.75 vs $4.40 per million) and work measured by LiveCodeBench (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.

Which is cheaper, Gemini 3.7 Flash or GLM 5.3?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GLM 5.3 costs $1.40 and $4.40. Per solved SWE-bench Verified task, Gemini 3.7 Flash costs $1.78 and GLM 5.3 $0.36.

Which has the bigger context window, Gemini 3.7 Flash or GLM 5.3?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.7 Flash vs GLM 5.3 comparison based on?

90 benchmarks have a result for both models as of October 22, 2026. Gemini 3.7 Flash's coding index rests on 6 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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