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GLM 4.7 Flash vs GPT-4o (2024-08-06)

GLM 4.7 Flash leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 14.9 to 7.7, and GLM 4.7 Flash costs 25.0x less per output token ($0.40 vs $10.00 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace GLM 4.7 Flash Replace GPT-4o (2024-08-06)
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
35
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
0
vs boards won of 35 shared

GLM 4.7 Flash or GPT-4o (2024-08-06): 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 25.0x cheaper ($0.40 vs $10.00 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 (2024-08-06)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
35
GLM 4.7 Flash only
8
GPT-4o (2024-08-06) only
23
Like-for-like categories
7 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 (2024-08-06) not benchmarked.
Widest category
Agentic work, 69.9 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 4.7 Flash 98.8% against GPT-4o (2024-08-06) 28.9%, 69.9 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against GPT-4o (2024-08-06) $10.00 per million output tokens, 25.0x apart.
Context window
GLM 4.7 Flash takes 200K tokens, GPT-4o (2024-08-06) 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 (2024-08-06)Ties
Coding30
Intelligence10
Agentic work10
Reasoning60
Math30
Knowledge40
General170
All shared boards350
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for GLM 4.7 Flash and GPT-4o (2024-08-06)
BenchmarkGLM 4.7 FlashGPT-4o (2024-08-06)Leader
Aider polyglotNot measured23.1%Only GPT-4o (2024-08-06) measured
SWE-bench LiteNot measured21.7%Only GPT-4o (2024-08-06) measured
LiveCodeBench (Artificial Analysis run)Not measured31.7%Only GPT-4o (2024-08-06) measured
Terminal-Bench Hard (Artificial Analysis run)22.0%8.3%GLM 4.7 Flash
LMArena Text: coding13821283GLM 4.7 Flash
LMArena Text: software and IT13891278GLM 4.7 Flash
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 GLM 4.7 Flash and GPT-4o (2024-08-06)
BenchmarkGLM 4.7 FlashGPT-4o (2024-08-06)Leader
AA Intelligence Index14.97.7GLM 4.7 Flash
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 4.7 Flash and GPT-4o (2024-08-06)
BenchmarkGLM 4.7 FlashGPT-4o (2024-08-06)Leader
τ²-Bench Telecom98.8%28.9%GLM 4.7 Flash
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for GLM 4.7 Flash and GPT-4o (2024-08-06)
BenchmarkGLM 4.7 FlashGPT-4o (2024-08-06)Leader
MMMU Pro (Vals AI)Not measured64.0%Only GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)58.1%52.1%GLM 4.7 Flash
Humanity's Last Exam (Artificial Analysis run)7.6%2.3%GLM 4.7 Flash
GPQA Diamond (Epoch AI run)60.5%49.2%GLM 4.7 Flash
SimpleBenchNot measured17.8%Only GPT-4o (2024-08-06) measured
Chess puzzlesNot measured6.0%Only GPT-4o (2024-08-06) measured
LMArena Text: hard prompts13561264GLM 4.7 Flash
LMArena Text: expert13571241GLM 4.7 Flash
LMArena Text: hard prompts in English13691277GLM 4.7 Flash
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for GLM 4.7 Flash and GPT-4o (2024-08-06)
BenchmarkGLM 4.7 FlashGPT-4o (2024-08-06)Leader
AIMENot measured14.0%Only GPT-4o (2024-08-06) measured
MATH 500 (Vals AI)Not measured75.2%Only GPT-4o (2024-08-06) measured
MGSM (Vals AI)Not measured90.7%Only GPT-4o (2024-08-06) measured
OTIS Mock AIME58.3%6.4%GLM 4.7 Flash
FrontierMath, tiers 1 to 3Not measured0.4%Only GPT-4o (2024-08-06) measured
MATH level 5Not measured53.3%Only GPT-4o (2024-08-06) measured
LMArena Text: math13551285GLM 4.7 Flash
LMArena Text: mathematical work13691283GLM 4.7 Flash
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 4.7 Flash and GPT-4o (2024-08-06)
BenchmarkGLM 4.7 FlashGPT-4o (2024-08-06)Leader
MMLU ProNot measured74.1%Only GPT-4o (2024-08-06) measured
LegalBench (Vals AI)Not measured80.1%Only GPT-4o (2024-08-06) measured
CorpFin (Vals AI)Not measured39.4%Only GPT-4o (2024-08-06) measured
TaxEval (Vals AI)Not measured71.1%Only GPT-4o (2024-08-06) measured
MortgageTax (Vals AI)Not measured61.0%Only GPT-4o (2024-08-06) measured
MedQA (Vals AI)Not measured88.2%Only GPT-4o (2024-08-06) measured
SimpleQA VerifiedNot measured26.0%Only GPT-4o (2024-08-06) measured
MMLUNot measured84.3%Only GPT-4o (2024-08-06) measured
LMArena Text: science13581274GLM 4.7 Flash
LMArena Text: medicine and healthcare13431252GLM 4.7 Flash
LMArena Text: legal and government13571275GLM 4.7 Flash
LMArena Text: business and finance13431232GLM 4.7 Flash
Neither model has a result on the other 6 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 (2024-08-06)
BenchmarkGLM 4.7 FlashGPT-4o (2024-08-06)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 index170
General benchmarks for GLM 4.7 Flash and GPT-4o (2024-08-06)
BenchmarkGLM 4.7 FlashGPT-4o (2024-08-06)Leader
IFBench60.8%36.0%GLM 4.7 Flash
Long context reasoning (AA-LCR)41.7%41.0%GLM 4.7 Flash
LMArena Text13511283GLM 4.7 Flash
LMArena Text: instruction following13271267GLM 4.7 Flash
LMArena Text: creative writing12961274GLM 4.7 Flash
LMArena VisionNot measured1065Only GPT-4o (2024-08-06) measured
LMArena Text: English13731297GLM 4.7 Flash
LMArena Text: non-English13301262GLM 4.7 Flash
LMArena Text: Chinese14031254GLM 4.7 Flash
LMArena Text: German13361257GLM 4.7 Flash
LMArena Text: JapaneseNot measured1234Only GPT-4o (2024-08-06) measured
LMArena Text: Korean12831218GLM 4.7 Flash
LMArena Text: French13321263GLM 4.7 Flash
LMArena Text: Spanish13501269GLM 4.7 Flash
LMArena Text: Russian13331272GLM 4.7 Flash
LMArena Text: Polish1291Not measuredOnly GLM 4.7 Flash measured
LMArena Text: multi-turn13421279GLM 4.7 Flash
LMArena Text: longer queries13451283GLM 4.7 Flash
LMArena Text: writing and language13201290GLM 4.7 Flash
LMArena Text: entertainment and media13041267GLM 4.7 Flash
LMArena Vision: EnglishNot measured1072Only GPT-4o (2024-08-06) measured
LMArena Vision: ChineseNot measured1009Only GPT-4o (2024-08-06) 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 GLM 4.7 Flash and GPT-4o (2024-08-06)
BenchmarkGLM 4.7 FlashGPT-4o (2024-08-06)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 (2024-08-06)$0.0075Fits 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 (2024-08-06)$0.155Fits 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 (2024-08-06)$0.600Exceeds 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 (2024-08-06)
SpecificationZ.ai GLM 4.7 FlashOpenAI GPT-4o (2024-08-06)
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedJanuary 19, 2026August 6, 2024
Context window200K128K
Input $/Mtok$0.0653$2.50
Output $/Mtok$0.40$10.00
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 (2024-08-06) 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 25.0x cheaper ($0.40 vs $10.00 per million) and a larger context window (200K against 128K tokens).

Which is cheaper, GLM 4.7 Flash or GPT-4o (2024-08-06)?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 per million output tokens; GPT-4o (2024-08-06) costs $2.50 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.7 Flash or GPT-4o (2024-08-06)?

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

How many benchmarks is the GLM 4.7 Flash vs GPT-4o (2024-08-06) comparison based on?

35 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 (2024-08-06)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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