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Gemini 2.5 Flash vs GLM 4.5

Gemini 2.5 Flash leads GLM 4.5 on the Artificial Analysis Intelligence Index, 15.5 to 12.8, at about the same output price ($2.50 vs $2.20 per million). Updated October 22, 2026; 48 benchmarks have a result for both.

Gemini 2.5 FlashGoogle
Coding
No data
Overall
34.3
Output $/M
$2.50
12
GLM 4.5Z.ai
Coding
No data
Overall
No data
Output $/M
$2.20
36
vs boards won of 48 shared

Gemini 2.5 Flash or GLM 4.5: which to pick

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

Pick Gemini 2.5 Flash for a larger context window (1.05M against 131K tokens) and work measured by SWE-bench Verified or LiveCodeBench (Artificial Analysis run), where it leads.

Shared results
48
Gemini 2.5 Flash only
25
GLM 4.5 only
13
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 Flash not benchmarked, GLM 4.5 not benchmarked.
Widest category
Web design, 14.4 points apart on average over 7 shared benchmarks.
Widest single gap
SWE-bench Verified: Gemini 2.5 Flash 28.7% against GLM 4.5 64.2%, 35.5 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against GLM 4.5 $2.20 per million output tokens, 1.1x apart.
Context window
Gemini 2.5 Flash takes 1.05M tokens, GLM 4.5 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 FlashBarsGLM 4.5Ties
Coding05
Intelligence10
Agentic work01
Reasoning15
Math04
Knowledge05
Web design07
General109
All shared boards1236
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Gemini 2.5 Flash and GLM 4.5
BenchmarkGemini 2.5 FlashGLM 4.5Leader
SWE-bench Verified28.7%64.2%GLM 4.5
LiveCodeBench (Vals AI)Not measured67.5%Only GLM 4.5 measured
LiveCodeBench (Artificial Analysis run)69.5%73.8%GLM 4.5
Terminal-Bench Hard (Artificial Analysis run)13.6%22.0%GLM 4.5
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
WeirdMLNot measured40.6%Only GLM 4.5 measured
ALE-BenchNot measured344.8Only GLM 4.5 measured
LMArena Text: coding14231434GLM 4.5
LMArena Text: software and IT14251440GLM 4.5
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 2.5 Flash and GLM 4.5
BenchmarkGemini 2.5 FlashGLM 4.5Leader
AA Intelligence Index15.512.8Gemini 2.5 Flash
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 4.5
BenchmarkGemini 2.5 FlashGLM 4.5Leader
τ²-Bench Telecom31.6%43.0%GLM 4.5
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash measured
Berkeley Function Calling Leaderboard (BFCL)56.2%Not measuredOnly Gemini 2.5 Flash measured
BrowseComp-Plus39.9%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index15
Reasoning benchmarks for Gemini 2.5 Flash and GLM 4.5
BenchmarkGemini 2.5 FlashGLM 4.5Leader
GPQA DiamondNot measured72.2%Only GLM 4.5 measured
GPQA Diamond (Artificial Analysis run)79.0%78.2%Gemini 2.5 Flash
Humanity's Last Exam (Artificial Analysis run)12.1%13.0%GLM 4.5
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 prompts14221429GLM 4.5
LMArena Text: expert14261433GLM 4.5
LMArena Text: hard prompts in English14201429GLM 4.5
LMArena Vision: diagrams1245Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: homework1244Not measuredOnly Gemini 2.5 Flash measured
Kagi LLM Benchmark56.8%57.9%GLM 4.5
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Gemini 2.5 Flash and GLM 4.5
BenchmarkGemini 2.5 FlashGLM 4.5Leader
AIMENot measured86.7%Only GLM 4.5 measured
MATH 500 (Vals AI)Not measured94.0%Only GLM 4.5 measured
MGSM (Vals AI)Not measured90.8%Only GLM 4.5 measured
AA Math Index73.373.7GLM 4.5
AIME 2025 (Artificial Analysis run)73.3%73.7%GLM 4.5
LMArena Text: math14111427GLM 4.5
LMArena Text: mathematical work14221430GLM 4.5
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Gemini 2.5 Flash and GLM 4.5
BenchmarkGemini 2.5 FlashGLM 4.5Leader
MMLU ProNot measured81.2%Only GLM 4.5 measured
LegalBench (Vals AI)Not measured75.6%Only GLM 4.5 measured
CorpFin (Vals AI)Not measured61.0%Only GLM 4.5 measured
TaxEval (Vals AI)Not measured72.4%Only GLM 4.5 measured
MedQA (Vals AI)Not measured90.0%Only GLM 4.5 measured
MedCode (Vals AI)40.4%Not measuredOnly Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)83.2%83.5%GLM 4.5
LMArena Text: science14331444GLM 4.5
LMArena Text: medicine and healthcare14281455GLM 4.5
LMArena Text: legal and government14301438GLM 4.5
LMArena Text: business and finance14041420GLM 4.5
FACTS Benchmark Suite47.2%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 6 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 4.5
BenchmarkGemini 2.5 FlashGLM 4.5Leader
Design Arena: websites10741169GLM 4.5
Design Arena: UI components10021141GLM 4.5
Design Arena: game dev10041144GLM 4.5
Design Arena: data viz10601159GLM 4.5
Design Arena: 3D10201170GLM 4.5
Design Arena: all code categories10591165GLM 4.5
Design Arena: SVG10201096GLM 4.5
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index109
General benchmarks for Gemini 2.5 Flash and GLM 4.5
BenchmarkGemini 2.5 FlashGLM 4.5Leader
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%44.1%Gemini 2.5 Flash
Long context reasoning (AA-LCR)65.3%52.7%Gemini 2.5 Flash
DTBench76.5%Not measuredOnly Gemini 2.5 Flash measured
LMCA27.5%Not measuredOnly Gemini 2.5 Flash measured
Creative writing (Lech Mazur)Not measured73.4%Only GLM 4.5 measured
LMArena Text14171430GLM 4.5
LMArena Text: instruction following14051404Gemini 2.5 Flash
LMArena Text: creative writing14001395Gemini 2.5 Flash
LMArena Vision1235Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: English14181437GLM 4.5
LMArena Text: non-English14091417GLM 4.5
LMArena Text: Chinese14491465GLM 4.5
LMArena Text: German14171407Gemini 2.5 Flash
LMArena Text: Japanese13961415GLM 4.5
LMArena Text: Korean13851380Gemini 2.5 Flash
LMArena Text: French14321418Gemini 2.5 Flash
LMArena Text: Spanish14221454GLM 4.5
LMArena Text: Russian14151413Gemini 2.5 Flash
LMArena Text: Polish14131422GLM 4.5
LMArena Text: multi-turn14081415GLM 4.5
LMArena Text: longer queries14191412Gemini 2.5 Flash
LMArena Text: writing and language14051403Gemini 2.5 Flash
LMArena Text: entertainment and media13931404GLM 4.5
LMArena Vision: English1239Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: Chinese1284Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: reading text1237Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: humor1225Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: captioning1277Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: recognizing things1252Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: creative writing1241Not measuredOnly Gemini 2.5 Flash 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 4.5
BenchmarkGemini 2.5 FlashGLM 4.5Leader
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 4.5$0.0017Fits 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 4.5$0.037Fits 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 4.5$0.142Exceeds 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 4.5
SpecificationGoogle Gemini 2.5 FlashZ.ai GLM 4.5
MakerGoogleZ.ai
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025July 25, 2025
Context window1.05M131K
Input $/Mtok$0.30$0.60
Output $/Mtok$2.50$2.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$0.466Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash better than GLM 4.5 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash for a larger context window (1.05M against 131K tokens) and work measured by SWE-bench Verified or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, Gemini 2.5 Flash or GLM 4.5?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; GLM 4.5 costs $0.60 and $2.20. Cost per solved task is known for Gemini 2.5 Flash only.

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

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

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

48 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Flash's coding index rests on 0 independent benchmarks and GLM 4.5's on 0. Where only one model has a result, the page says so instead of naming a winner.

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