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Gemini 2.5 Flash vs GLM 5V Turbo

Updated October 21, 2026. 51 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 FlashGoogle
Coding
28.7
Overall
15.5
Output $/M
$2.50
2
GLM 5V TurboZ.ai
Coding
28.8
Overall
23.5
Output $/M
$4.00
49
vs boards won of 51 shared

Decision reading

Gemini 2.5 Flash and GLM 5V Turbo are level for coding, 28.7 against 28.8 on the Vibe Coding Index, so price and context decide.

Pick Gemini 2.5 Flash when output tokens cost 1.6x less, or when the context window is larger, 1.05M against 203K tokens. Pick GLM 5V Turbo when what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Shared results
51
Gemini 2.5 Flash only
18
GLM 5V Turbo only
14
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 2.5 Flash 28.7 from 1 benchmark, GLM 5V Turbo 28.8 from 1 benchmark.
Widest category
Agentic work, 67.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemini 2.5 Flash 31.6% against GLM 5V Turbo 98.5%, 67.0 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against GLM 5V Turbo $4.00 per million output tokens, 1.6x apart.
Context window
Gemini 2.5 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 2.5 FlashBarsGLM 5V TurboTies
Coding03
Intelligence01
Agentic work01
Reasoning07
Math02
Knowledge04
Web design07
General224
All shared boards249
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
Coding benchmarks for Gemini 2.5 Flash and GLM 5V Turbo
BenchmarkGemini 2.5 FlashGLM 5V TurboLeader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
LMArena WebDevNot measured1402Only GLM 5V Turbo measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly Gemini 2.5 Flash measured
Terminal-Bench Hard (Artificial Analysis run)13.6%32.6%GLM 5V Turbo
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: coding14231466GLM 5V Turbo
LMArena Text: software and IT14251460GLM 5V Turbo
LMArena WebDev: ReactNot measured1386Only GLM 5V Turbo measured
LMArena WebDev: HTMLNot measured1356Only GLM 5V Turbo measured
LMArena WebDev: from an imageNot measured1425Only GLM 5V Turbo measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 2.5 Flash and GLM 5V Turbo
BenchmarkGemini 2.5 FlashGLM 5V TurboLeader
AA Intelligence Index15.523.5GLM 5V Turbo
Epoch Capabilities Index142.9Not measuredOnly Gemini 2.5 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 2.5 Flash and GLM 5V Turbo
BenchmarkGemini 2.5 FlashGLM 5V TurboLeader
Design Arena: agents building web appsNot measured1124Only GLM 5V Turbo measured
Design Arena: agents building full-stack appsNot measured1149Only GLM 5V Turbo measured
Design Arena: agents building mobile appsNot measured1134Only GLM 5V Turbo measured
Design Arena: agents building Android appsNot measured1267Only GLM 5V Turbo measured
Design Arena: agents building Godot gamesNot measured957Only GLM 5V Turbo measured
Design Arena: agents building gamesNot measured1102Only GLM 5V Turbo measured
Design Arena: HTML slidesNot measured1120Only GLM 5V Turbo measured
Design Arena: PowerPoint slidesNot measured1152Only GLM 5V Turbo measured
τ²-Bench Telecom31.6%98.5%GLM 5V Turbo
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Gemini 2.5 Flash and GLM 5V Turbo
BenchmarkGemini 2.5 FlashGLM 5V TurboLeader
GPQA Diamond (Artificial Analysis run)79.0%80.9%GLM 5V Turbo
Humanity's Last Exam (Artificial Analysis run)12.1%17.1%GLM 5V Turbo
ARC-AGI33.3%Not measuredOnly Gemini 2.5 Flash measured
ARC-AGI-22.5%Not measuredOnly Gemini 2.5 Flash measured
SimpleBench41.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: hard prompts14221443GLM 5V Turbo
LMArena Text: expert14261453GLM 5V Turbo
LMArena Text: hard prompts in English14201456GLM 5V Turbo
LMArena Vision: diagrams12451286GLM 5V Turbo
LMArena Vision: homework12441273GLM 5V Turbo
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemini 2.5 Flash and GLM 5V Turbo
BenchmarkGemini 2.5 FlashGLM 5V TurboLeader
AA Math Index73.3Not measuredOnly Gemini 2.5 Flash measured
AIME 2025 (Artificial Analysis run)73.3%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: math14111442GLM 5V Turbo
LMArena Text: mathematical work14221447GLM 5V Turbo
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Gemini 2.5 Flash and GLM 5V Turbo
BenchmarkGemini 2.5 FlashGLM 5V TurboLeader
MedCode (Vals AI)40.4%Not measuredOnly Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)83.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: science14331448GLM 5V Turbo
LMArena Text: medicine and healthcare14281433GLM 5V Turbo
LMArena Text: legal and government14301436GLM 5V Turbo
LMArena Text: business and finance14041435GLM 5V Turbo
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Gemini 2.5 Flash and GLM 5V Turbo
BenchmarkGemini 2.5 FlashGLM 5V TurboLeader
Design Arena: websites10741230GLM 5V Turbo
Design Arena: UI components10051213GLM 5V Turbo
Design Arena: game dev10051219GLM 5V Turbo
Design Arena: data viz10601202GLM 5V Turbo
Design Arena: 3D10211209GLM 5V Turbo
Design Arena: all code categories10591228GLM 5V Turbo
Design Arena: SVG10181151GLM 5V Turbo
Design Arena: ASCII artNot measured1118Only GLM 5V Turbo measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index224
General benchmarks for Gemini 2.5 Flash and GLM 5V Turbo
BenchmarkGemini 2.5 FlashGLM 5V TurboLeader
SAGE (Vals AI)44.8%Not measuredOnly Gemini 2.5 Flash measured
MedScribe (Vals AI)83.0%Not measuredOnly Gemini 2.5 Flash measured
IFBench50.3%61.1%GLM 5V Turbo
Long context reasoning (AA-LCR)65.3%70.3%GLM 5V Turbo
DTBench76.5%Not measuredOnly Gemini 2.5 Flash measured
LMCA27.5%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text14171437GLM 5V Turbo
LMArena Text: instruction following14051423GLM 5V Turbo
LMArena Text: creative writing14001417GLM 5V Turbo
LMArena Vision12351264GLM 5V Turbo
LMArena Text: English14181454GLM 5V Turbo
LMArena Text: non-English14091420GLM 5V Turbo
LMArena Text: Chinese14491491GLM 5V Turbo
LMArena Text: German14171422GLM 5V Turbo
LMArena Text: Japanese1396Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Korean13851397GLM 5V Turbo
LMArena Text: French14321443GLM 5V Turbo
LMArena Text: Spanish14221452GLM 5V Turbo
LMArena Text: Russian14151432GLM 5V Turbo
LMArena Text: Polish14131432GLM 5V Turbo
LMArena Text: multi-turn14081431GLM 5V Turbo
LMArena Text: longer queries14191438GLM 5V Turbo
LMArena Text: writing and language14051420GLM 5V Turbo
LMArena Text: entertainment and media13931407GLM 5V Turbo
LMArena Vision: English12391274GLM 5V Turbo
LMArena Vision: Chinese12841329GLM 5V Turbo
LMArena Vision: reading text12371270GLM 5V Turbo
LMArena Vision: humor12251268GLM 5V Turbo
LMArena Vision: captioning12771264Gemini 2.5 Flash
LMArena Vision: recognizing things12521241Gemini 2.5 Flash
LMArena Vision: creative writing12411252GLM 5V Turbo
LMArena DocumentNot measured1416Only GLM 5V Turbo 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 2.5 Flash and GLM 5V Turbo
BenchmarkGemini 2.5 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 2.5 Flash$0.0015Fits in one request
GLM 5V Turbo$0.0032Fits in one request

Gemini 2.5 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
GLM 5V Turbo$0.072Fits in one request

Gemini 2.5 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
GLM 5V Turbo$0.280Exceeds the context window

Gemini 2.5 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 2.5 Flash and GLM 5V Turbo
SpecificationGoogle Gemini 2.5 FlashZ.ai GLM 5V Turbo
MakerGoogleZ.ai
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025April 1, 2026
Context window1.05M203K
Input $/Mtok$0.30$1.20
Output $/Mtok$2.50$4.00
Coding index28.728.8
Independent measurements behind it11
Cost per solved task$0.466Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash better than GLM 5V Turbo for coding?

Gemini 2.5 Flash and GLM 5V Turbo are level for coding, 28.7 against 28.8 on the Vibe Coding Index, so price and context decide. Pick Gemini 2.5 Flash when output tokens cost 1.6x less, or when the context window is larger, 1.05M against 203K tokens. Pick GLM 5V Turbo when what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, Gemini 2.5 Flash or GLM 5V Turbo?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for Gemini 2.5 Flash only.

Which has the bigger context window, Gemini 2.5 Flash or GLM 5V Turbo?

Gemini 2.5 Flash, with 1.05M tokens against 203K.

How many benchmarks is the Gemini 2.5 Flash vs GLM 5V Turbo comparison based on?

51 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash's coding index rests on 1 independent benchmark 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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