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Gemini 2.5 Pro vs GLM 4.5 Air

Gemini 2.5 Pro leads GLM 4.5 Air on the Artificial Analysis Intelligence Index, 16.1 to 11.1, and GLM 4.5 Air costs 9.1x less per output token ($1.10 vs $10.00 per million). Updated October 21, 2026; 47 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace GLM 4.5 Air
Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
46
GLM 4.5 AirZ.ai
Coding
No data
Overall
No data
Output $/M
$1.10
1
vs boards won of 47 shared

Gemini 2.5 Pro or GLM 4.5 Air: which to pick

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; GLM 4.5 Air has none, so the two cannot be ranked on coding.

Pick GLM 4.5 Air for output tokens 9.1x cheaper ($1.10 vs $10.00 per million) and work measured by Design Arena: 3D, where it leads.

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved taskModel BGLM 4.5 AirZ.aiNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
47
Gemini 2.5 Pro only
43
GLM 4.5 Air only
1
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 2.5 Pro 19.1 from 3 benchmarks, GLM 4.5 Air not benchmarked.
Widest category
General, 15.5 points apart on average over 19 shared benchmarks.
Widest single gap
Kagi LLM Benchmark: Gemini 2.5 Pro 70.3% against GLM 4.5 Air 43.0%, 27.3 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against GLM 4.5 Air $1.10 per million output tokens, 9.1x apart.
Context window
Gemini 2.5 Pro 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 2.5 ProBarsGLM 4.5 AirTies
Coding50
Intelligence10
Agentic work10
Reasoning60
Math40
Knowledge50
Web design51
General190
All shared boards461
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Gemini 2.5 Pro and GLM 4.5 Air
BenchmarkGemini 2.5 ProGLM 4.5 AirLeader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev1226Not measuredOnly Gemini 2.5 Pro measured
AA Coding Index33.3Not measuredOnly Gemini 2.5 Pro measured
SWE-bench Verified (Vals AI)54.4%Not measuredOnly Gemini 2.5 Pro measured
Vibe Code Bench (Vals AI)0.4%Not measuredOnly Gemini 2.5 Pro measured
LiveCodeBench (Artificial Analysis run)80.1%68.4%Gemini 2.5 Pro
SciCode46.3%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench Hard (Artificial Analysis run)26.5%20.5%Gemini 2.5 Pro
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
GSO-Bench3.9%2.9%Gemini 2.5 Pro
WeirdML54.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: coding14521397Gemini 2.5 Pro
LMArena Text: software and IT14591401Gemini 2.5 Pro
LMArena WebDev: HTML1235Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev: from an image1285Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 2.5 Pro and GLM 4.5 Air
BenchmarkGemini 2.5 ProGLM 4.5 AirLeader
AA Intelligence Index16.111.1Gemini 2.5 Pro
Epoch Capabilities Index145.1Not measuredOnly Gemini 2.5 Pro measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemini 2.5 Pro and GLM 4.5 Air
BenchmarkGemini 2.5 ProGLM 4.5 AirLeader
AA Agentic Index1.6Not measuredOnly Gemini 2.5 Pro measured
τ²-Bench Telecom54.1%46.5%Gemini 2.5 Pro
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574Not measuredOnly Gemini 2.5 Pro measured
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Gemini 2.5 Pro and GLM 4.5 Air
BenchmarkGemini 2.5 ProGLM 4.5 AirLeader
GPQA Diamond (Artificial Analysis run)84.4%73.3%Gemini 2.5 Pro
Humanity's Last Exam (Artificial Analysis run)22.5%7.0%Gemini 2.5 Pro
GPQA Diamond (Epoch AI run)85.3%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI41.0%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI-24.9%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: hard prompts14551379Gemini 2.5 Pro
LMArena Text: expert14521370Gemini 2.5 Pro
LMArena Text: hard prompts in English14531388Gemini 2.5 Pro
LMArena Vision: diagrams1274Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: homework1281Not measuredOnly Gemini 2.5 Pro measured
Kagi LLM Benchmark70.3%43.0%Gemini 2.5 Pro
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemini 2.5 Pro and GLM 4.5 Air
BenchmarkGemini 2.5 ProGLM 4.5 AirLeader
AA Math Index87.780.7Gemini 2.5 Pro
AIME 2025 (Artificial Analysis run)87.7%80.7%Gemini 2.5 Pro
OTIS Mock AIME84.7%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tiers 1 to 324.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: math14501396Gemini 2.5 Pro
LMArena Text: mathematical work14541396Gemini 2.5 Pro
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Gemini 2.5 Pro and GLM 4.5 Air
BenchmarkGemini 2.5 ProGLM 4.5 AirLeader
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%Not measuredOnly Gemini 2.5 Pro measured
MortgageTax (Vals AI)68.9%Not measuredOnly Gemini 2.5 Pro measured
MedCode (Vals AI)50.6%Not measuredOnly Gemini 2.5 Pro measured
MMLU Pro (Artificial Analysis run)86.2%81.5%Gemini 2.5 Pro
LMArena Text: science14801407Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761402Gemini 2.5 Pro
LMArena Text: legal and government14801382Gemini 2.5 Pro
LMArena Text: business and finance14391371Gemini 2.5 Pro
FACTS Benchmark Suite61.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index51
Web design benchmarks for Gemini 2.5 Pro and GLM 4.5 Air
BenchmarkGemini 2.5 ProGLM 4.5 AirLeader
Design Arena: websites11671146Gemini 2.5 Pro
Design Arena: UI components11401123Gemini 2.5 Pro
Design Arena: game dev11111094Gemini 2.5 Pro
Design Arena: data viz12211186Gemini 2.5 Pro
Design Arena: 3D10811123GLM 4.5 Air
Design Arena: all code categories11521137Gemini 2.5 Pro
Design Arena: SVGNot measured1071Only 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 index190
General benchmarks for Gemini 2.5 Pro and GLM 4.5 Air
BenchmarkGemini 2.5 ProGLM 4.5 AirLeader
SAGE (Vals AI)41.9%Not measuredOnly Gemini 2.5 Pro measured
MedScribe (Vals AI)73.5%Not measuredOnly Gemini 2.5 Pro measured
IFBench48.7%37.6%Gemini 2.5 Pro
Long context reasoning (AA-LCR)69.0%46.7%Gemini 2.5 Pro
DTBench82.4%Not measuredOnly Gemini 2.5 Pro measured
LMCA34.8%Not measuredOnly Gemini 2.5 Pro measured
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text14581384Gemini 2.5 Pro
LMArena Text: instruction following14371354Gemini 2.5 Pro
LMArena Text: creative writing14541343Gemini 2.5 Pro
LMArena Vision1263Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: English14581397Gemini 2.5 Pro
LMArena Text: non-English14521366Gemini 2.5 Pro
LMArena Text: Chinese15071426Gemini 2.5 Pro
LMArena Text: German14871377Gemini 2.5 Pro
LMArena Text: Japanese14611348Gemini 2.5 Pro
LMArena Text: Korean14341308Gemini 2.5 Pro
LMArena Text: French14731400Gemini 2.5 Pro
LMArena Text: Spanish14741385Gemini 2.5 Pro
LMArena Text: Russian14611373Gemini 2.5 Pro
LMArena Text: Polish14791368Gemini 2.5 Pro
LMArena Text: multi-turn14531371Gemini 2.5 Pro
LMArena Text: longer queries14491366Gemini 2.5 Pro
LMArena Text: writing and language14541354Gemini 2.5 Pro
LMArena Text: entertainment and media14411339Gemini 2.5 Pro
LMArena Vision: English1261Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: Chinese1300Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: reading text1270Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: humor1262Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things1283Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: creative writing1265Not measuredOnly Gemini 2.5 Pro measured
LMArena Document1421Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro and GLM 4.5 Air
BenchmarkGemini 2.5 ProGLM 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 2.5 Pro$0.0063Fits 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 2.5 Pro$0.092Fits 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 2.5 Pro$0.350Fits 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 2.5 Pro and GLM 4.5 Air
SpecificationGoogle Gemini 2.5 ProZ.ai GLM 4.5 Air
MakerGoogleZ.ai
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025July 25, 2025
Context window1.05M131K
Input $/Mtok$1.25$0.20
Output $/Mtok$10.00$1.10
Coding index19.1Not benchmarked
Independent measurements behind it30
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than GLM 4.5 Air for coding?

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; GLM 4.5 Air has none, so the two cannot be ranked on coding. Pick GLM 4.5 Air for output tokens 9.1x cheaper ($1.10 vs $10.00 per million) and work measured by Design Arena: 3D, where it leads.

Which is cheaper, Gemini 2.5 Pro or GLM 4.5 Air?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; GLM 4.5 Air costs $0.20 and $1.10. Cost per solved task is known for Gemini 2.5 Pro only.

Which has the bigger context window, Gemini 2.5 Pro or GLM 4.5 Air?

Gemini 2.5 Pro, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 2.5 Pro vs GLM 4.5 Air comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro's coding index rests on 3 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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