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Gemini 3.7 Flash vs GLM 5V Turbo

Updated October 21, 2026. 57 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.7 Flash Replace GLM 5V Turbo
Gemini 3.7 FlashGoogle
Coding
69.9
Overall
39.6
Output $/M
$3.75
56
GLM 5V TurboZ.ai
Coding
28.8
Overall
23.5
Output $/M
$4.00
1
vs boards won of 57 shared

Decision reading

Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 28.8 for GLM 5V Turbo.

Pick GLM 5V Turbo when the benchmark that matters is Design Arena: agents building Android apps, where it leads.

Model AGemini 3.7 FlashGoogle69.9/1002 independent benchmarks$1.78 per solved taskModel BGLM 5V TurboZ.ai28.8/1001 independent benchmarkNo cost per solved task
Shared results
57
Gemini 3.7 Flash only
55
GLM 5V Turbo only
8
Like-for-like categories
8 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 3.7 Flash 69.9 from 2 benchmarks, GLM 5V Turbo 28.8 from 1 benchmark.
Widest category
Coding, 23.5 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: Gemini 3.7 Flash 1593 against GLM 5V Turbo 1356, 39.5 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against GLM 5V Turbo $4.00 per million output tokens, 1.1x apart.
Context window
Gemini 3.7 Flash takes 1.05M tokens, GLM 5V Turbo 203K.

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 5V TurboTies
Coding60
Intelligence10
Agentic work51
Reasoning70
Math20
Knowledge40
Web design80
General230
All shared boards561
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
Coding benchmarks for Gemini 3.7 Flash and GLM 5V Turbo
BenchmarkGemini 3.7 FlashGLM 5V TurboLeader
LiveBench coding80.5%Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev15911402Gemini 3.7 Flash
AA Coding Index71.5Not measuredOnly Gemini 3.7 Flash measured
LiveCodeBench (Vals AI)88.7%Not measuredOnly Gemini 3.7 Flash measured
SWE-bench Verified (Vals AI)80.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)12.1%Not measuredOnly Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)70.4%Not measuredOnly Gemini 3.7 Flash measured
Code migration (Vals AI)34.8%Not measuredOnly Gemini 3.7 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.7 Flash measured
IOI (Vals AI)67.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)77.5%Not measuredOnly Gemini 3.7 Flash measured
SkillsBench (Vals AI)65.9%Not measuredOnly Gemini 3.7 Flash measured
CyberBench (Vals AI)43.8%Not measuredOnly Gemini 3.7 Flash measured
SciCode59.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured32.6%Only GLM 5V Turbo measured
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.3Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: coding14991466Gemini 3.7 Flash
LMArena Text: software and IT14981460Gemini 3.7 Flash
LMArena WebDev: React15871386Gemini 3.7 Flash
LMArena WebDev: HTML15931356Gemini 3.7 Flash
LMArena WebDev: from an image15991425Gemini 3.7 Flash
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 3.7 Flash and GLM 5V Turbo
BenchmarkGemini 3.7 FlashGLM 5V TurboLeader
AA Intelligence Index39.623.5Gemini 3.7 Flash
Epoch Capabilities Index158.0Not measuredOnly Gemini 3.7 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
Agentic work benchmarks for Gemini 3.7 Flash and GLM 5V Turbo
BenchmarkGemini 3.7 FlashGLM 5V TurboLeader
Design Arena: agents building web apps12241124Gemini 3.7 Flash
Design Arena: agents building full-stack apps12081149Gemini 3.7 Flash
Design Arena: agents building mobile apps12301134Gemini 3.7 Flash
Design Arena: agents building Android apps12471267GLM 5V Turbo
Design Arena: agents building Godot games1264957Gemini 3.7 Flash
Design Arena: agents building games12351102Gemini 3.7 Flash
Design Arena: HTML slidesNot measured1120Only GLM 5V Turbo measured
Design Arena: PowerPoint slidesNot measured1152Only GLM 5V Turbo measured
Design Arena: spreadsheets1028Not measuredOnly Gemini 3.7 Flash measured
LiveBench research76.5%Not measuredOnly Gemini 3.7 Flash measured
LiveBench browser56.0%Not measuredOnly Gemini 3.7 Flash measured
LiveBench long agentic28.3%Not measuredOnly Gemini 3.7 Flash measured
SREBench (Vals AI)4.6%Not measuredOnly Gemini 3.7 Flash measured
Finance Agent (Vals AI)59.0%Not measuredOnly Gemini 3.7 Flash measured
Tax Agent Bench (Vals AI)22.8%Not measuredOnly Gemini 3.7 Flash measured
Legal Research Bench (Vals AI)34.6%Not measuredOnly Gemini 3.7 Flash measured
Excel Modeling Benchmark (Vals AI)71.3%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
τ²-Bench TelecomNot measured98.5%Only GLM 5V Turbo measured
APEX-Agents67.8%Not measuredOnly Gemini 3.7 Flash measured
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Gemini 3.7 Flash and GLM 5V Turbo
BenchmarkGemini 3.7 FlashGLM 5V TurboLeader
GPQA Diamond93.9%Not measuredOnly Gemini 3.7 Flash measured
LiveBench reasoning87.8%Not measuredOnly Gemini 3.7 Flash measured
MMMU Pro (Vals AI)89.0%Not measuredOnly Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)94.5%80.9%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%17.1%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)94.8%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI95.5%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI-284.6%Not measuredOnly Gemini 3.7 Flash measured
Chess puzzles66.0%Not measuredOnly Gemini 3.7 Flash measured
Mystery game puzzles37.0%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: hard prompts14951443Gemini 3.7 Flash
LMArena Text: expert15121453Gemini 3.7 Flash
LMArena Text: hard prompts in English14871456Gemini 3.7 Flash
LMArena Vision: diagrams13291286Gemini 3.7 Flash
LMArena Vision: homework13201273Gemini 3.7 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemini 3.7 Flash and GLM 5V Turbo
BenchmarkGemini 3.7 FlashGLM 5V TurboLeader
OTIS Mock AIME97.2%Not measuredOnly Gemini 3.7 Flash measured
FrontierMath, tiers 1 to 371.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierMath, tier 436.6%Not measuredOnly Gemini 3.7 Flash measured
ProofBench58.0%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: math15111442Gemini 3.7 Flash
LMArena Text: mathematical work15021447Gemini 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 index40
Knowledge benchmarks for Gemini 3.7 Flash and GLM 5V Turbo
BenchmarkGemini 3.7 FlashGLM 5V TurboLeader
MMLU Pro90.1%Not measuredOnly Gemini 3.7 Flash measured
LegalBench (Vals AI)87.3%Not measuredOnly Gemini 3.7 Flash measured
TaxEval (Vals AI)74.7%Not measuredOnly Gemini 3.7 Flash measured
MortgageTax (Vals AI)66.7%Not measuredOnly Gemini 3.7 Flash measured
MedCode (Vals AI)53.4%Not measuredOnly Gemini 3.7 Flash measured
SimpleQA Verified69.2%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: science15111448Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941433Gemini 3.7 Flash
LMArena Text: legal and government14961436Gemini 3.7 Flash
LMArena Text: business and finance14791435Gemini 3.7 Flash
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Gemini 3.7 Flash and GLM 5V Turbo
BenchmarkGemini 3.7 FlashGLM 5V TurboLeader
Design Arena: websites13041230Gemini 3.7 Flash
Design Arena: UI components12991213Gemini 3.7 Flash
Design Arena: game dev13181219Gemini 3.7 Flash
Design Arena: data viz13151202Gemini 3.7 Flash
Design Arena: 3D13081209Gemini 3.7 Flash
Design Arena: all code categories13081228Gemini 3.7 Flash
Design Arena: SVG12831151Gemini 3.7 Flash
Design Arena: ASCII art12761118Gemini 3.7 Flash
LiveBench design73.2%Not measuredOnly Gemini 3.7 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index230
General benchmarks for Gemini 3.7 Flash and GLM 5V Turbo
BenchmarkGemini 3.7 FlashGLM 5V TurboLeader
LiveBench data analysis68.0%Not measuredOnly Gemini 3.7 Flash measured
SAGE (Vals AI)49.2%Not measuredOnly Gemini 3.7 Flash measured
MedScribe (Vals AI)83.9%Not measuredOnly Gemini 3.7 Flash measured
IFBenchNot measured61.1%Only GLM 5V Turbo measured
Long context reasoning (AA-LCR)83.0%70.3%Gemini 3.7 Flash
DTBench96.8%Not measuredOnly Gemini 3.7 Flash measured
LMCA50.4%Not measuredOnly Gemini 3.7 Flash measured
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text14891437Gemini 3.7 Flash
LMArena Text: instruction following14841423Gemini 3.7 Flash
LMArena Text: creative writing14881417Gemini 3.7 Flash
LMArena Vision13141264Gemini 3.7 Flash
LMArena Text: English14831454Gemini 3.7 Flash
LMArena Text: non-English14871420Gemini 3.7 Flash
LMArena Text: Chinese15521491Gemini 3.7 Flash
LMArena Text: German15061422Gemini 3.7 Flash
LMArena Text: Japanese1511Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Korean14811397Gemini 3.7 Flash
LMArena Text: French15001443Gemini 3.7 Flash
LMArena Text: Spanish14951452Gemini 3.7 Flash
LMArena Text: Russian15151432Gemini 3.7 Flash
LMArena Text: Polish15031432Gemini 3.7 Flash
LMArena Text: multi-turn14851431Gemini 3.7 Flash
LMArena Text: longer queries14921438Gemini 3.7 Flash
LMArena Text: writing and language14911420Gemini 3.7 Flash
LMArena Text: entertainment and media14771407Gemini 3.7 Flash
LMArena Vision: English13091274Gemini 3.7 Flash
LMArena Vision: Chinese13941329Gemini 3.7 Flash
LMArena Vision: reading text13221270Gemini 3.7 Flash
LMArena Vision: humor12991268Gemini 3.7 Flash
LMArena Vision: captioningNot measured1264Only GLM 5V Turbo measured
LMArena Vision: recognizing thingsNot measured1241Only GLM 5V Turbo measured
LMArena Vision: creative writing13121252Gemini 3.7 Flash
LMArena DocumentNot measured1416Only GLM 5V Turbo 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 3.7 Flash and GLM 5V Turbo
BenchmarkGemini 3.7 FlashGLM 5V TurboLeader
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 5V Turbo$0.0032Fits 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 5V Turbo$0.072Fits 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 5V Turbo$0.280Exceeds the context window

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 5V Turbo
SpecificationGoogle Gemini 3.7 FlashZ.ai GLM 5V Turbo
MakerGoogleZ.ai
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026April 1, 2026
Context window1.05M203K
Input $/Mtok$0.75$1.20
Output $/Mtok$3.75$4.00
Coding index69.928.8
Independent measurements behind it21
Cost per solved task$1.78Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than GLM 5V Turbo for coding?

Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 28.8 for GLM 5V Turbo. Pick GLM 5V Turbo when the benchmark that matters is Design Arena: agents building Android apps, where it leads.

Which is cheaper, Gemini 3.7 Flash or GLM 5V Turbo?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for Gemini 3.7 Flash only.

Which has the bigger context window, Gemini 3.7 Flash or GLM 5V Turbo?

Gemini 3.7 Flash, with 1.05M tokens against 203K.

How many benchmarks is the Gemini 3.7 Flash vs GLM 5V Turbo comparison based on?

57 benchmarks have a result for both models as of October 21, 2026. Gemini 3.7 Flash's coding index rests on 2 independent benchmarks and GLM 5V Turbo's on 1. Where only one model has a result, the page says so instead of naming a winner.

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