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GLM 4.7 Flash vs GPT-4 Turbo

GLM 4.7 Flash leads GPT-4 Turbo on the Artificial Analysis Intelligence Index, 14.9 to 7.0, and GLM 4.7 Flash costs 75.0x less per output token ($0.40 vs $30.00 per million). Updated October 22, 2026; 29 benchmarks have a result for both.

Replace GLM 4.7 Flash Replace GPT-4 Turbo
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
28
GPT-4 TurboOpenAI
Coding
No data
Overall
No data
Output $/M
$30.00
1
vs boards won of 29 shared

GLM 4.7 Flash or GPT-4 Turbo: 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 75.0x cheaper ($0.40 vs $30.00 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-4 TurboOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
29
GLM 4.7 Flash only
14
GPT-4 Turbo only
13
Like-for-like categories
6 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-4 Turbo not benchmarked.
Widest category
Coding, 19.7 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: Chinese: GLM 4.7 Flash 1403 against GPT-4 Turbo 1242, 26.8 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against GPT-4 Turbo $30.00 per million output tokens, 75.0x apart.
Context window
GLM 4.7 Flash takes 200K tokens, GPT-4 Turbo 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-4 TurboTies
Coding20
Intelligence10
Reasoning40
Math20
Knowledge40
General151
All shared boards281
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for GLM 4.7 Flash and GPT-4 Turbo
BenchmarkGLM 4.7 FlashGPT-4 TurboLeader
AA Coding IndexNot measured21.5Only GPT-4 Turbo measured
LiveCodeBench (Artificial Analysis run)Not measured29.1%Only GPT-4 Turbo measured
Terminal-Bench Hard (Artificial Analysis run)22.0%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: coding13821268GLM 4.7 Flash
LMArena Text: software and IT13891267GLM 4.7 Flash
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.7 Flash and GPT-4 Turbo
BenchmarkGLM 4.7 FlashGPT-4 TurboLeader
AA Intelligence Index14.97.0GLM 4.7 Flash
Epoch Capabilities IndexNot measured127.3Only GPT-4 Turbo measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GLM 4.7 Flash and GPT-4 Turbo
BenchmarkGLM 4.7 FlashGPT-4 TurboLeader
τ²-Bench Telecom98.8%Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for GLM 4.7 Flash and GPT-4 Turbo
BenchmarkGLM 4.7 FlashGPT-4 TurboLeader
GPQA Diamond (Artificial Analysis run)58.1%Not measuredOnly GLM 4.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)7.6%3.1%GLM 4.7 Flash
GPQA Diamond (Epoch AI run)60.5%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: hard prompts13561251GLM 4.7 Flash
LMArena Text: expert13571223GLM 4.7 Flash
LMArena Text: hard prompts in English13691266GLM 4.7 Flash
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 4.7 Flash and GPT-4 Turbo
BenchmarkGLM 4.7 FlashGPT-4 TurboLeader
OTIS Mock AIME58.3%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: math13551272GLM 4.7 Flash
LMArena Text: mathematical work13691268GLM 4.7 Flash
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 4.7 Flash and GPT-4 Turbo
BenchmarkGLM 4.7 FlashGPT-4 TurboLeader
LegalBench (Vals AI)Not measured80.5%Only GPT-4 Turbo measured
MedQA (Vals AI)Not measured82.0%Only GPT-4 Turbo measured
MMLU Pro (Artificial Analysis run)Not measured69.4%Only GPT-4 Turbo measured
MMLUNot measured81.3%Only GPT-4 Turbo measured
LMArena Text: science13581256GLM 4.7 Flash
LMArena Text: medicine and healthcare13431239GLM 4.7 Flash
LMArena Text: legal and government13571265GLM 4.7 Flash
LMArena Text: business and finance13431222GLM 4.7 Flash
Neither model has a result on the other 10 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-4 Turbo
BenchmarkGLM 4.7 FlashGPT-4 TurboLeader
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 index151
General benchmarks for GLM 4.7 Flash and GPT-4 Turbo
BenchmarkGLM 4.7 FlashGPT-4 TurboLeader
IFBench60.8%Not measuredOnly GLM 4.7 Flash measured
Long context reasoning (AA-LCR)41.7%Not measuredOnly GLM 4.7 Flash measured
DTBenchNot measured61.6%Only GPT-4 Turbo measured
LMCANot measured9.8%Only GPT-4 Turbo measured
LMArena Text13511272GLM 4.7 Flash
LMArena Text: instruction following13271249GLM 4.7 Flash
LMArena Text: creative writing12961268GLM 4.7 Flash
LMArena VisionNot measured1090Only GPT-4 Turbo measured
LMArena Text: English13731291GLM 4.7 Flash
LMArena Text: non-English13301245GLM 4.7 Flash
LMArena Text: Chinese14031242GLM 4.7 Flash
LMArena Text: German13361259GLM 4.7 Flash
LMArena Text: JapaneseNot measured1194Only GPT-4 Turbo measured
LMArena Text: Korean12831187GLM 4.7 Flash
LMArena Text: French13321276GLM 4.7 Flash
LMArena Text: Spanish13501260GLM 4.7 Flash
LMArena Text: Russian13331259GLM 4.7 Flash
LMArena Text: Polish12911302GPT-4 Turbo
LMArena Text: multi-turn13421267GLM 4.7 Flash
LMArena Text: longer queries13451254GLM 4.7 Flash
LMArena Text: writing and language13201279GLM 4.7 Flash
LMArena Text: entertainment and media13041258GLM 4.7 Flash
LMArena Vision: EnglishNot measured1097Only GPT-4 Turbo measured
LMArena Vision: ChineseNot measured1045Only GPT-4 Turbo measured
Neither model has a result on the other 22 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-4 Turbo
BenchmarkGLM 4.7 FlashGPT-4 TurboLeader
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-4 Turbo$0.025Fits 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-4 Turbo$0.590Fits 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-4 Turbo$2.30Exceeds 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-4 Turbo
SpecificationZ.ai GLM 4.7 FlashOpenAI GPT-4 Turbo
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedJanuary 19, 2026April 9, 2024
Context window200K128K
Input $/Mtok$0.0653$10.00
Output $/Mtok$0.40$30.00
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-4 Turbo 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 75.0x cheaper ($0.40 vs $30.00 per million) and a larger context window (200K against 128K tokens).

Which is cheaper, GLM 4.7 Flash or GPT-4 Turbo?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 per million output tokens; GPT-4 Turbo costs $10.00 and $30.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.7 Flash or GPT-4 Turbo?

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

How many benchmarks is the GLM 4.7 Flash vs GPT-4 Turbo 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-4 Turbo's on 0. Where only one model has a result, the page says so instead of naming a winner.

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