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Gemini 3.1 Flash Lite vs GLM 4.5 Air

GLM 4.5 Air costs 1.4x less per output token than Gemini 3.1 Flash Lite ($1.10 vs $1.50 per million). Updated October 22, 2026; 7 benchmarks have a result for both.

Gemini 3.1 Flash LiteGoogle
Coding
No data
Overall
No data
Output $/M
$1.50
6
GLM 4.5 AirZ.ai
Coding
No data
Overall
No data
Output $/M
$1.10
1
vs boards won of 7 shared

Gemini 3.1 Flash Lite or GLM 4.5 Air: which to pick

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

Pick Gemini 3.1 Flash Lite for a larger context window (1.05M against 131K tokens) and work measured by τ²-Bench Telecom, where it leads.

Shared results
7
Gemini 3.1 Flash Lite only
10
GLM 4.5 Air only
42
Like-for-like categories
4 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 3.1 Flash Lite not benchmarked, GLM 4.5 Air not benchmarked.
Widest category
General, 33.7 points apart on average over 2 shared benchmarks.
Widest single gap
IFBench: Gemini 3.1 Flash Lite 77.2% against GLM 4.5 Air 37.6%, 39.7 points apart on a 0 to 100 scale.
Output price
Gemini 3.1 Flash Lite $1.50 against GLM 4.5 Air $1.10 per million output tokens, 1.4x apart.
Context window
Gemini 3.1 Flash Lite takes 1.05M tokens, GLM 4.5 Air 131K.

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 3.1 Flash LiteBarsGLM 4.5 AirTies
Coding10
Agentic work01
Reasoning30
General20
All shared boards61
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Gemini 3.1 Flash Lite and GLM 4.5 Air
BenchmarkGemini 3.1 Flash LiteGLM 4.5 AirLeader
LiveCodeBench (Artificial Analysis run)Not measured68.4%Only GLM 4.5 Air measured
SciCode43.4%Not measuredOnly Gemini 3.1 Flash Lite measured
Terminal-Bench Hard (Artificial Analysis run)24.2%20.5%Gemini 3.1 Flash Lite
GSO-BenchNot measured2.9%Only GLM 4.5 Air measured
WeirdML52.2%Not measuredOnly Gemini 3.1 Flash Lite measured
LMArena Text: codingNot measured1397Only GLM 4.5 Air measured
LMArena Text: software and ITNot measured1401Only GLM 4.5 Air measured
Neither model has a result on the other 36 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 3.1 Flash Lite and GLM 4.5 Air
BenchmarkGemini 3.1 Flash LiteGLM 4.5 AirLeader
AA Intelligence IndexNot measured11.1Only GLM 4.5 Air measured
Epoch Capabilities Index144.3Not measuredOnly Gemini 3.1 Flash Lite measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 3.1 Flash Lite and GLM 4.5 Air
BenchmarkGemini 3.1 Flash LiteGLM 4.5 AirLeader
τ²-Bench Telecom31.3%46.5%GLM 4.5 Air
DeepResearch Bench37.3%Not measuredOnly Gemini 3.1 Flash Lite measured
MCP Atlas57.1%Not measuredOnly Gemini 3.1 Flash Lite measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Gemini 3.1 Flash Lite and GLM 4.5 Air
BenchmarkGemini 3.1 Flash LiteGLM 4.5 AirLeader
GPQA Diamond (Artificial Analysis run)82.2%73.3%Gemini 3.1 Flash Lite
Humanity's Last Exam (Artificial Analysis run)17.2%7.0%Gemini 3.1 Flash Lite
GPQA Diamond (Epoch AI run)81.8%Not measuredOnly Gemini 3.1 Flash Lite measured
LMArena Text: hard promptsNot measured1379Only GLM 4.5 Air measured
LMArena Text: expertNot measured1370Only GLM 4.5 Air measured
LMArena Text: hard prompts in EnglishNot measured1388Only GLM 4.5 Air measured
Kagi LLM Benchmark67.2%43.0%Gemini 3.1 Flash Lite
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Gemini 3.1 Flash Lite and GLM 4.5 Air
BenchmarkGemini 3.1 Flash LiteGLM 4.5 AirLeader
AA Math IndexNot measured80.7Only GLM 4.5 Air measured
AIME 2025 (Artificial Analysis run)Not measured80.7%Only GLM 4.5 Air measured
OTIS Mock AIME80.0%Not measuredOnly Gemini 3.1 Flash Lite measured
FrontierMath, tiers 1 to 327.7%Not measuredOnly Gemini 3.1 Flash Lite measured
LMArena Text: mathNot measured1396Only GLM 4.5 Air measured
LMArena Text: mathematical workNot measured1396Only GLM 4.5 Air measured
MathArenaNot measured12.0%Only GLM 4.5 Air measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for Gemini 3.1 Flash Lite and GLM 4.5 Air
BenchmarkGemini 3.1 Flash LiteGLM 4.5 AirLeader
MMLU Pro (Artificial Analysis run)Not measured81.5%Only GLM 4.5 Air measured
LMArena Text: scienceNot measured1407Only GLM 4.5 Air measured
LMArena Text: medicine and healthcareNot measured1402Only GLM 4.5 Air measured
LMArena Text: legal and governmentNot measured1382Only GLM 4.5 Air measured
LMArena Text: business and financeNot measured1371Only GLM 4.5 Air measured
Neither model has a result on the other 15 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Gemini 3.1 Flash Lite and GLM 4.5 Air
BenchmarkGemini 3.1 Flash LiteGLM 4.5 AirLeader
Design Arena: websitesNot measured1146Only GLM 4.5 Air measured
Design Arena: UI componentsNot measured1121Only GLM 4.5 Air measured
Design Arena: game devNot measured1093Only GLM 4.5 Air measured
Design Arena: data vizNot measured1186Only GLM 4.5 Air measured
Design Arena: 3DNot measured1122Only GLM 4.5 Air measured
Design Arena: all code categoriesNot measured1137Only GLM 4.5 Air measured
Design Arena: SVGNot measured1070Only GLM 4.5 Air measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Gemini 3.1 Flash Lite and GLM 4.5 Air
BenchmarkGemini 3.1 Flash LiteGLM 4.5 AirLeader
IFBench77.2%37.6%Gemini 3.1 Flash Lite
Long context reasoning (AA-LCR)74.3%46.7%Gemini 3.1 Flash Lite
DTBench76.8%Not measuredOnly Gemini 3.1 Flash Lite measured
LMCA35.0%Not measuredOnly Gemini 3.1 Flash Lite measured
LMArena TextNot measured1384Only GLM 4.5 Air measured
LMArena Text: instruction followingNot measured1354Only GLM 4.5 Air measured
LMArena Text: creative writingNot measured1343Only GLM 4.5 Air measured
LMArena Text: EnglishNot measured1397Only GLM 4.5 Air measured
LMArena Text: non-EnglishNot measured1366Only GLM 4.5 Air measured
LMArena Text: ChineseNot measured1426Only GLM 4.5 Air measured
LMArena Text: GermanNot measured1377Only GLM 4.5 Air measured
LMArena Text: JapaneseNot measured1348Only GLM 4.5 Air measured
LMArena Text: KoreanNot measured1308Only GLM 4.5 Air measured
LMArena Text: FrenchNot measured1400Only GLM 4.5 Air measured
LMArena Text: SpanishNot measured1385Only GLM 4.5 Air measured
LMArena Text: RussianNot measured1373Only GLM 4.5 Air measured
LMArena Text: PolishNot measured1368Only GLM 4.5 Air measured
LMArena Text: multi-turnNot measured1371Only GLM 4.5 Air measured
LMArena Text: longer queriesNot measured1366Only GLM 4.5 Air measured
LMArena Text: writing and languageNot measured1354Only GLM 4.5 Air measured
LMArena Text: entertainment and mediaNot measured1339Only GLM 4.5 Air measured
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.1 Flash Lite and GLM 4.5 Air
BenchmarkGemini 3.1 Flash LiteGLM 4.5 AirLeader
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 3.1 Flash Lite$0.0010Fits in one request
GLM 4.5 Air$0.0008Fits in one request

GLM 4.5 Air costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Flash Lite$0.017Fits in one request
GLM 4.5 Air$0.013Fits in one request

GLM 4.5 Air costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Flash Lite$0.065Fits in one request
GLM 4.5 Air$0.051Exceeds the context window

GLM 4.5 Air 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 3.1 Flash Lite and GLM 4.5 Air
SpecificationGoogle Gemini 3.1 Flash LiteZ.ai GLM 4.5 Air
MakerGoogleZ.ai
WeightsNo public weights listedOpen weights
ReleasedMay 7, 2026July 25, 2025
Context window1.05M131K
Input $/Mtok$0.25$0.20
Output $/Mtok$1.50$1.10
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.1 Flash Lite better than GLM 4.5 Air for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 3.1 Flash Lite for a larger context window (1.05M against 131K tokens) and work measured by τ²-Bench Telecom, where it leads.

Which is cheaper, Gemini 3.1 Flash Lite or GLM 4.5 Air?

Gemini 3.1 Flash Lite costs $0.25 per million input tokens and $1.50 per million output tokens; GLM 4.5 Air costs $0.20 and $1.10. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 3.1 Flash Lite or GLM 4.5 Air?

Gemini 3.1 Flash Lite, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 3.1 Flash Lite vs GLM 4.5 Air comparison based on?

7 benchmarks have a result for both models as of October 22, 2026. Gemini 3.1 Flash Lite's coding index rests on 0 independent benchmarks and GLM 4.5 Air's on 0. Where only one model has a result, the page says so instead of naming a winner.

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