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Gemini 2.5 Flash Lite vs GLM 4.5V

Updated October 21, 2026. 11 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 Flash LiteGoogle
Coding
No data
Overall
10.4
Output $/M
$0.40
4
GLM 4.5VZ.ai
Coding
No data
Overall
7.6
Output $/M
$1.80
7
vs boards won of 11 shared

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

Gemini 2.5 Flash Lite has the edge where output tokens cost 4.5x less, and where the context window is larger, 1.05M against 66K tokens.

Shared results
11
Gemini 2.5 Flash Lite only
17
GLM 4.5V only
29
Like-for-like categories
7 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 Lite not benchmarked, GLM 4.5V not benchmarked.
Widest category
General, 35.7 points apart on average over 2 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Gemini 2.5 Flash Lite 55.7% against GLM 4.5V 0.0%, 55.7 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash Lite $0.40 against GLM 4.5V $1.80 per million output tokens, 4.5x apart.
Context window
Gemini 2.5 Flash Lite takes 1.05M tokens, GLM 4.5V 66K.

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 Flash LiteBarsGLM 4.5VTies
Coding02
Intelligence10
Agentic work01
Reasoning11
Math02
Knowledge01
General20
All shared boards47
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Gemini 2.5 Flash Lite and GLM 4.5V
BenchmarkGemini 2.5 Flash LiteGLM 4.5VLeader
LiveCodeBench (Vals AI)71.4%Not measuredOnly Gemini 2.5 Flash Lite measured
LiveCodeBench (Artificial Analysis run)59.3%60.4%GLM 4.5V
Terminal-Bench Hard (Artificial Analysis run)4.5%6.8%GLM 4.5V
LMArena Text: codingNot measured1347Only GLM 4.5V measured
LMArena Text: software and ITNot measured1353Only GLM 4.5V measured
Neither model has a result on the other 33 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 2.5 Flash Lite and GLM 4.5V
BenchmarkGemini 2.5 Flash LiteGLM 4.5VLeader
AA Intelligence Index10.47.6Gemini 2.5 Flash Lite
Epoch Capabilities Index133.8Not measuredOnly Gemini 2.5 Flash Lite measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 2.5 Flash Lite and GLM 4.5V
BenchmarkGemini 2.5 Flash LiteGLM 4.5VLeader
τ²-Bench Telecom19.0%22.5%GLM 4.5V
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
Reasoning benchmarks for Gemini 2.5 Flash Lite and GLM 4.5V
BenchmarkGemini 2.5 Flash LiteGLM 4.5VLeader
GPQA Diamond70.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MMMU Pro (Vals AI)75.4%Not measuredOnly Gemini 2.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)62.5%68.4%GLM 4.5V
Humanity's Last Exam (Artificial Analysis run)6.8%6.3%Gemini 2.5 Flash Lite
LMArena Text: hard promptsNot measured1335Only GLM 4.5V measured
LMArena Text: expertNot measured1353Only GLM 4.5V measured
LMArena Text: hard prompts in EnglishNot measured1357Only GLM 4.5V measured
LMArena Vision: diagramsNot measured1151Only GLM 4.5V measured
LMArena Vision: homeworkNot measured1163Only GLM 4.5V measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemini 2.5 Flash Lite and GLM 4.5V
BenchmarkGemini 2.5 Flash LiteGLM 4.5VLeader
AIME42.1%Not measuredOnly Gemini 2.5 Flash Lite measured
MGSM (Vals AI)89.5%Not measuredOnly Gemini 2.5 Flash Lite measured
AA Math Index53.373.0GLM 4.5V
AIME 2025 (Artificial Analysis run)53.3%73.0%GLM 4.5V
LMArena Text: mathNot measured1354Only GLM 4.5V measured
LMArena Text: mathematical workNot measured1336Only GLM 4.5V measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for Gemini 2.5 Flash Lite and GLM 4.5V
BenchmarkGemini 2.5 Flash LiteGLM 4.5VLeader
MMLU Pro79.1%Not measuredOnly Gemini 2.5 Flash Lite measured
LegalBench (Vals AI)82.0%Not measuredOnly Gemini 2.5 Flash Lite measured
CorpFin (Vals AI)57.6%Not measuredOnly Gemini 2.5 Flash Lite measured
TaxEval (Vals AI)66.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MortgageTax (Vals AI)57.6%Not measuredOnly Gemini 2.5 Flash Lite measured
MedQA (Vals AI)88.9%Not measuredOnly Gemini 2.5 Flash Lite measured
MedCode (Vals AI)34.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MMLU Pro (Artificial Analysis run)75.9%78.8%GLM 4.5V
LMArena Text: scienceNot measured1330Only GLM 4.5V measured
LMArena Text: medicine and healthcareNot measured1349Only GLM 4.5V measured
LMArena Text: legal and governmentNot measured1338Only GLM 4.5V measured
LMArena Text: business and financeNot measured1309Only GLM 4.5V measured
Neither model has a result on the other 5 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemini 2.5 Flash Lite and GLM 4.5V
BenchmarkGemini 2.5 Flash LiteGLM 4.5VLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Gemini 2.5 Flash Lite and GLM 4.5V
BenchmarkGemini 2.5 Flash LiteGLM 4.5VLeader
SAGE (Vals AI)30.8%Not measuredOnly Gemini 2.5 Flash Lite measured
MedScribe (Vals AI)75.8%Not measuredOnly Gemini 2.5 Flash Lite measured
IFBench49.9%34.2%Gemini 2.5 Flash Lite
Long context reasoning (AA-LCR)55.7%0.0%Gemini 2.5 Flash Lite
DTBench62.8%Not measuredOnly Gemini 2.5 Flash Lite measured
LMCA18.1%Not measuredOnly Gemini 2.5 Flash Lite measured
LMArena TextNot measured1333Only GLM 4.5V measured
LMArena Text: instruction followingNot measured1311Only GLM 4.5V measured
LMArena Text: creative writingNot measured1294Only GLM 4.5V measured
LMArena VisionNot measured1154Only GLM 4.5V measured
LMArena Text: EnglishNot measured1362Only GLM 4.5V measured
LMArena Text: non-EnglishNot measured1303Only GLM 4.5V measured
LMArena Text: ChineseNot measured1337Only GLM 4.5V measured
LMArena Text: SpanishNot measured1336Only GLM 4.5V measured
LMArena Text: RussianNot measured1298Only GLM 4.5V measured
LMArena Text: PolishNot measured1302Only GLM 4.5V measured
LMArena Text: multi-turnNot measured1333Only GLM 4.5V measured
LMArena Text: longer queriesNot measured1305Only GLM 4.5V measured
LMArena Text: writing and languageNot measured1302Only GLM 4.5V measured
LMArena Text: entertainment and mediaNot measured1303Only GLM 4.5V measured
LMArena Vision: EnglishNot measured1183Only GLM 4.5V measured
LMArena Vision: reading textNot measured1151Only GLM 4.5V measured
Neither model has a result on the other 24 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 Lite and GLM 4.5V
BenchmarkGemini 2.5 Flash LiteGLM 4.5VLeader
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 Lite$0.0003Fits in one request
GLM 4.5V$0.0015Fits in one request

Gemini 2.5 Flash Lite costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash Lite$0.0062Fits in one request
GLM 4.5V$0.035Fits in one request

Gemini 2.5 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash Lite$0.024Fits in one request
GLM 4.5V$0.138Exceeds the context window

Gemini 2.5 Flash Lite 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 Lite and GLM 4.5V
SpecificationGoogle Gemini 2.5 Flash LiteZ.ai GLM 4.5V
MakerGoogleZ.ai
WeightsNo public weights listedOpen weights
ReleasedJuly 22, 2025August 11, 2025
Context window1.05M66K
Input $/Mtok$0.10$0.60
Output $/Mtok$0.40$1.80
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash Lite better than GLM 4.5V for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Gemini 2.5 Flash Lite has the edge where output tokens cost 4.5x less, and where the context window is larger, 1.05M against 66K tokens.

Which is cheaper, Gemini 2.5 Flash Lite or GLM 4.5V?

Gemini 2.5 Flash Lite costs $0.10 per million input tokens and $0.40 per million output tokens; GLM 4.5V costs $0.60 and $1.80. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 2.5 Flash Lite or GLM 4.5V?

Gemini 2.5 Flash Lite, with 1.05M tokens against 66K.

How many benchmarks is the Gemini 2.5 Flash Lite vs GLM 4.5V comparison based on?

11 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash Lite's coding index rests on 0 independent benchmarks and GLM 4.5V's on 0. Where only one model has a result, the page says so instead of naming a winner.

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