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GLM 4.7 Flash vs GPT-4o-mini (2024-07-18)

GLM 4.7 Flash costs 1.5x less per output token than GPT-4o-mini (2024-07-18) ($0.40 vs $0.60 per million). Updated October 22, 2026; 29 benchmarks have a result for both.

Replace GLM 4.7 Flash Replace GPT-4o-mini (2024-07-18)
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
29
GPT-4o-mini (2024-07-18)OpenAI
Coding
No data
Overall
No data
Output $/M
$0.60
0
vs boards won of 29 shared

GLM 4.7 Flash or GPT-4o-mini (2024-07-18): which to pick

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

Pick GLM 4.7 Flash for output tokens 1.5x cheaper ($0.40 vs $0.60 per million) and a larger context window (200K against 128K tokens).

Model AGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-4o-mini (2024-07-18)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
29
GLM 4.7 Flash only
14
GPT-4o-mini (2024-07-18) only
17
Like-for-like categories
5 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
GLM 4.7 Flash not benchmarked, GPT-4o-mini (2024-07-18) not benchmarked.
Widest category
Math, 27.5 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: GLM 4.7 Flash 58.3% against GPT-4o-mini (2024-07-18) 6.9%, 51.4 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against GPT-4o-mini (2024-07-18) $0.60 per million output tokens, 1.5x apart.
Context window
GLM 4.7 Flash takes 200K tokens, GPT-4o-mini (2024-07-18) 128K.

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
CategoryGLM 4.7 FlashBarsGPT-4o-mini (2024-07-18)Ties
Coding20
Reasoning40
Math30
Knowledge40
General160
All shared boards290
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for GLM 4.7 Flash and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.7 FlashGPT-4o-mini (2024-07-18)Leader
Aider polyglotNot measured3.6%Only GPT-4o-mini (2024-07-18) measured
Terminal-Bench Hard (Artificial Analysis run)22.0%Not measuredOnly GLM 4.7 Flash measured
WeirdMLNot measured11.8%Only GPT-4o-mini (2024-07-18) measured
LMArena Text: coding13821290GLM 4.7 Flash
LMArena Text: software and IT13891291GLM 4.7 Flash
Neither model has a result on the other 34 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for GLM 4.7 Flash and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.7 FlashGPT-4o-mini (2024-07-18)Leader
AA Intelligence Index14.9Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for GLM 4.7 Flash and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.7 FlashGPT-4o-mini (2024-07-18)Leader
τ²-Bench Telecom98.8%Not measuredOnly GLM 4.7 Flash measured
BALROGNot measured17.4%Only GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for GLM 4.7 Flash and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.7 FlashGPT-4o-mini (2024-07-18)Leader
GPQA Diamond (Artificial Analysis run)58.1%Not measuredOnly GLM 4.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)7.6%Not measuredOnly GLM 4.7 Flash measured
GPQA Diamond (Epoch AI run)60.5%37.7%GLM 4.7 Flash
SimpleBenchNot measured10.7%Only GPT-4o-mini (2024-07-18) measured
Chess puzzlesNot measured3.0%Only GPT-4o-mini (2024-07-18) measured
Mystery game puzzlesNot measured12.0%Only GPT-4o-mini (2024-07-18) measured
VPCTNot measured34.0%Only GPT-4o-mini (2024-07-18) measured
LMArena Text: hard prompts13561267GLM 4.7 Flash
LMArena Text: expert13571234GLM 4.7 Flash
LMArena Text: hard prompts in English13691278GLM 4.7 Flash
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for GLM 4.7 Flash and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.7 FlashGPT-4o-mini (2024-07-18)Leader
OTIS Mock AIME58.3%6.9%GLM 4.7 Flash
FrontierMath, tiers 1 to 3Not measured0.7%Only GPT-4o-mini (2024-07-18) measured
MATH level 5Not measured52.6%Only GPT-4o-mini (2024-07-18) measured
LMArena Text: math13551267GLM 4.7 Flash
LMArena Text: mathematical work13691271GLM 4.7 Flash
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 4.7 Flash and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.7 FlashGPT-4o-mini (2024-07-18)Leader
SimpleQA VerifiedNot measured8.3%Only GPT-4o-mini (2024-07-18) measured
MMLUNot measured76.7%Only GPT-4o-mini (2024-07-18) measured
GeoBenchNot measured64.0%Only GPT-4o-mini (2024-07-18) measured
LMArena Text: science13581286GLM 4.7 Flash
LMArena Text: medicine and healthcare13431282GLM 4.7 Flash
LMArena Text: legal and government13571305GLM 4.7 Flash
LMArena Text: business and finance13431265GLM 4.7 Flash
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GLM 4.7 Flash and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.7 FlashGPT-4o-mini (2024-07-18)Leader
Design Arena: websites1194Not measuredOnly GLM 4.7 Flash measured
Design Arena: UI components1205Not measuredOnly GLM 4.7 Flash measured
Design Arena: game dev1134Not measuredOnly GLM 4.7 Flash measured
Design Arena: data viz1123Not measuredOnly GLM 4.7 Flash measured
Design Arena: 3D1120Not measuredOnly GLM 4.7 Flash measured
Design Arena: all code categories1177Not measuredOnly GLM 4.7 Flash measured
Design Arena: SVG1037Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index160
General benchmarks for GLM 4.7 Flash and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.7 FlashGPT-4o-mini (2024-07-18)Leader
IFBench60.8%Not measuredOnly GLM 4.7 Flash measured
Long context reasoning (AA-LCR)41.7%Not measuredOnly GLM 4.7 Flash measured
Creative writing (Lech Mazur)Not measured67.2%Only GPT-4o-mini (2024-07-18) measured
LMArena Text13511286GLM 4.7 Flash
LMArena Text: instruction following13271258GLM 4.7 Flash
LMArena Text: creative writing12961268GLM 4.7 Flash
LMArena VisionNot measured1066Only GPT-4o-mini (2024-07-18) measured
LMArena Text: English13731301GLM 4.7 Flash
LMArena Text: non-English13301266GLM 4.7 Flash
LMArena Text: Chinese14031265GLM 4.7 Flash
LMArena Text: German13361272GLM 4.7 Flash
LMArena Text: JapaneseNot measured1216Only GPT-4o-mini (2024-07-18) measured
LMArena Text: Korean12831195GLM 4.7 Flash
LMArena Text: French13321297GLM 4.7 Flash
LMArena Text: Spanish13501276GLM 4.7 Flash
LMArena Text: Russian13331275GLM 4.7 Flash
LMArena Text: Polish12911244GLM 4.7 Flash
LMArena Text: multi-turn13421285GLM 4.7 Flash
LMArena Text: longer queries13451289GLM 4.7 Flash
LMArena Text: writing and language13201282GLM 4.7 Flash
LMArena Text: entertainment and media13041253GLM 4.7 Flash
LMArena Vision: EnglishNot measured1072Only GPT-4o-mini (2024-07-18) measured
LMArena Vision: ChineseNot measured1033Only GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.7 Flash and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.7 FlashGPT-4o-mini (2024-07-18)Leader
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

GLM 4.7 Flash$0.0003Fits in one request
GPT-4o-mini (2024-07-18)$0.0004Fits in one request

GLM 4.7 Flash costs less

Repository review

50K input + 3K output tokens

GLM 4.7 Flash$0.0045Fits in one request
GPT-4o-mini (2024-07-18)$0.0093Fits in one request

GLM 4.7 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 4.7 Flash$0.017Exceeds the context window
GPT-4o-mini (2024-07-18)$0.036Exceeds the context window

GLM 4.7 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 GLM 4.7 Flash and GPT-4o-mini (2024-07-18)
SpecificationZ.ai GLM 4.7 FlashOpenAI GPT-4o-mini (2024-07-18)
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedJanuary 19, 2026July 18, 2024
Context window200K128K
Input $/Mtok$0.0653$0.15
Output $/Mtok$0.40$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.7 Flash better than GPT-4o-mini (2024-07-18) for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.7 Flash for output tokens 1.5x cheaper ($0.40 vs $0.60 per million) and a larger context window (200K against 128K tokens).

Which is cheaper, GLM 4.7 Flash or GPT-4o-mini (2024-07-18)?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 per million output tokens; GPT-4o-mini (2024-07-18) costs $0.15 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.7 Flash or GPT-4o-mini (2024-07-18)?

GLM 4.7 Flash, with 200K tokens against 128K.

How many benchmarks is the GLM 4.7 Flash vs GPT-4o-mini (2024-07-18) comparison based on?

29 benchmarks have a result for both models as of October 22, 2026. GLM 4.7 Flash's coding index rests on 0 independent benchmarks and GPT-4o-mini (2024-07-18)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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