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GLM 4.7 Flash vs GPT-5 Nano

GLM 4.7 Flash leads GPT-5 Nano on the Artificial Analysis Intelligence Index, 14.9 to 13.0, at about the same output price ($0.40 vs $0.40 per million). Updated October 21, 2026; 41 benchmarks have a result for both.

Replace GLM 4.7 Flash Replace GPT-5 Nano
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
33
GPT-5 NanoOpenAI
Coding
No data
Overall
35.6
Output $/M
$0.40
8
vs boards won of 41 shared

GLM 4.7 Flash or GPT-5 Nano: which to pick

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

Pick GLM 4.7 Flash for work measured by GPQA Diamond (Artificial Analysis run) or Humanity's Last Exam (Artificial Analysis run), where it leads.

Model AGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5 NanoOpenAINot benchmarkedNo coding benchmark$0.109 per solved task
Shared results
41
GLM 4.7 Flash only
2
GPT-5 Nano only
46
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
GLM 4.7 Flash not benchmarked, GPT-5 Nano not benchmarked.
Widest category
Agentic work, 62.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 4.7 Flash 98.8% against GPT-5 Nano 36.5%, 62.3 points apart on a 0 to 100 scale.
Output price
Both cost $0.40 per million output tokens.
Context window
GLM 4.7 Flash takes 200K tokens, GPT-5 Nano 400K.

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-5 NanoTies
Coding30
Intelligence10
Agentic work10
Reasoning33
Math21
Knowledge40
Web design60
General134
All shared boards338
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for GLM 4.7 Flash and GPT-5 Nano
BenchmarkGLM 4.7 FlashGPT-5 NanoLeader
SWE-bench VerifiedNot measured34.8%Only GPT-5 Nano measured
LiveCodeBench (Vals AI)Not measured70.2%Only GPT-5 Nano measured
LiveCodeBench (Artificial Analysis run)Not measured78.9%Only GPT-5 Nano measured
Terminal-Bench Hard (Artificial Analysis run)22.0%17.4%GLM 4.7 Flash
Terminal-BenchNot measured21.8%Only GPT-5 Nano measured
WeirdMLNot measured38.1%Only GPT-5 Nano measured
LMArena Text: coding13821351GLM 4.7 Flash
LMArena Text: software and IT13891345GLM 4.7 Flash
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.7 Flash and GPT-5 Nano
BenchmarkGLM 4.7 FlashGPT-5 NanoLeader
AA Intelligence Index14.913.0GLM 4.7 Flash
Epoch Capabilities IndexNot measured139.2Only GPT-5 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 4.7 Flash and GPT-5 Nano
BenchmarkGLM 4.7 FlashGPT-5 NanoLeader
τ²-Bench Telecom98.8%36.5%GLM 4.7 Flash
Berkeley Function Calling Leaderboard (BFCL)Not measured51.4%Only GPT-5 Nano measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
Reasoning benchmarks for GLM 4.7 Flash and GPT-5 Nano
BenchmarkGLM 4.7 FlashGPT-5 NanoLeader
GPQA DiamondNot measured63.4%Only GPT-5 Nano measured
MMMU Pro (Vals AI)Not measured70.9%Only GPT-5 Nano measured
GPQA Diamond (Artificial Analysis run)58.1%67.6%GPT-5 Nano
Humanity's Last Exam (Artificial Analysis run)7.6%9.5%GPT-5 Nano
GPQA Diamond (Epoch AI run)60.5%69.4%GPT-5 Nano
ARC-AGINot measured20.7%Only GPT-5 Nano measured
ARC-AGI-2Not measured2.6%Only GPT-5 Nano measured
Chess puzzlesNot measured22.0%Only GPT-5 Nano measured
Mystery game puzzlesNot measured9.0%Only GPT-5 Nano measured
VPCTNot measured37.2%Only GPT-5 Nano measured
LMArena Text: hard prompts13561328GLM 4.7 Flash
LMArena Text: expert13571321GLM 4.7 Flash
LMArena Text: hard prompts in English13691338GLM 4.7 Flash
LMArena Vision: diagramsNot measured1141Only GPT-5 Nano measured
LMArena Vision: homeworkNot measured1157Only GPT-5 Nano measured
Kagi LLM BenchmarkNot measured62.2%Only GPT-5 Nano measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for GLM 4.7 Flash and GPT-5 Nano
BenchmarkGLM 4.7 FlashGPT-5 NanoLeader
AIMENot measured81.2%Only GPT-5 Nano measured
MATH 500 (Vals AI)Not measured93.8%Only GPT-5 Nano measured
MGSM (Vals AI)Not measured89.3%Only GPT-5 Nano measured
AA Math IndexNot measured83.7Only GPT-5 Nano measured
AIME 2025 (Artificial Analysis run)Not measured83.7%Only GPT-5 Nano measured
OTIS Mock AIME58.3%81.1%GPT-5 Nano
FrontierMath, tiers 1 to 3Not measured20.0%Only GPT-5 Nano measured
FrontierMath, tier 4Not measured2.4%Only GPT-5 Nano measured
ProofBenchNot measured12.0%Only GPT-5 Nano measured
MATH level 5Not measured95.2%Only GPT-5 Nano measured
LMArena Text: math13551317GLM 4.7 Flash
LMArena Text: mathematical work13691326GLM 4.7 Flash
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 4.7 Flash and GPT-5 Nano
BenchmarkGLM 4.7 FlashGPT-5 NanoLeader
MMLU ProNot measured76.1%Only GPT-5 Nano measured
LegalBench (Vals AI)Not measured50.1%Only GPT-5 Nano measured
CaseLaw (Vals AI)Not measured52.6%Only GPT-5 Nano measured
TaxEval (Vals AI)Not measured67.4%Only GPT-5 Nano measured
MortgageTax (Vals AI)Not measured53.6%Only GPT-5 Nano measured
MedQA (Vals AI)Not measured93.3%Only GPT-5 Nano measured
MedCode (Vals AI)Not measured30.4%Only GPT-5 Nano measured
MMLU Pro (Artificial Analysis run)Not measured78.0%Only GPT-5 Nano measured
SimpleQA VerifiedNot measured11.7%Only GPT-5 Nano measured
LMArena Text: science13581318GLM 4.7 Flash
LMArena Text: medicine and healthcare13431335GLM 4.7 Flash
LMArena Text: legal and government13571298GLM 4.7 Flash
LMArena Text: business and finance13431311GLM 4.7 Flash
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for GLM 4.7 Flash and GPT-5 Nano
BenchmarkGLM 4.7 FlashGPT-5 NanoLeader
Design Arena: websites11941101GLM 4.7 Flash
Design Arena: UI components12081067GLM 4.7 Flash
Design Arena: game dev11351045GLM 4.7 Flash
Design Arena: data viz11231056GLM 4.7 Flash
Design Arena: 3D1121966GLM 4.7 Flash
Design Arena: all code categories11781084GLM 4.7 Flash
Design Arena: SVG1038Not 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 index134
General benchmarks for GLM 4.7 Flash and GPT-5 Nano
BenchmarkGLM 4.7 FlashGPT-5 NanoLeader
SAGE (Vals AI)Not measured30.4%Only GPT-5 Nano measured
MedScribe (Vals AI)Not measured72.9%Only GPT-5 Nano measured
IFBench60.8%67.6%GPT-5 Nano
Long context reasoning (AA-LCR)41.7%45.0%GPT-5 Nano
DTBenchNot measured62.7%Only GPT-5 Nano measured
LMCANot measured7.9%Only GPT-5 Nano measured
Fiction.LiveBenchNot measured44.4%Only GPT-5 Nano measured
LMArena Text13511320GLM 4.7 Flash
LMArena Text: instruction following13271306GLM 4.7 Flash
LMArena Text: creative writing12961249GLM 4.7 Flash
LMArena VisionNot measured1159Only GPT-5 Nano measured
LMArena Text: English13731321GLM 4.7 Flash
LMArena Text: non-English13301313GLM 4.7 Flash
LMArena Text: Chinese14031356GLM 4.7 Flash
LMArena Text: German13361327GLM 4.7 Flash
LMArena Text: JapaneseNot measured1227Only GPT-5 Nano measured
LMArena Text: Korean12831269GLM 4.7 Flash
LMArena Text: French1332Not measuredOnly GLM 4.7 Flash measured
LMArena Text: Spanish13501360GPT-5 Nano
LMArena Text: Russian13331296GLM 4.7 Flash
LMArena Text: Polish12911314GPT-5 Nano
LMArena Text: multi-turn13421311GLM 4.7 Flash
LMArena Text: longer queries13451312GLM 4.7 Flash
LMArena Text: writing and language13201283GLM 4.7 Flash
LMArena Text: entertainment and media13041268GLM 4.7 Flash
LMArena Vision: EnglishNot measured1170Only GPT-5 Nano measured
LMArena Vision: ChineseNot measured1176Only GPT-5 Nano measured
LMArena Vision: reading textNot measured1152Only GPT-5 Nano measured
LMArena Vision: humorNot measured1110Only GPT-5 Nano measured
Neither model has a result on the other 17 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-5 Nano
BenchmarkGLM 4.7 FlashGPT-5 NanoLeader
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-5 Nano$0.0003Fits in one request

GPT-5 Nano costs less

Repository review

50K input + 3K output tokens

GLM 4.7 Flash$0.0045Fits in one request
GPT-5 Nano$0.0037Fits in one request

GPT-5 Nano costs less

Agent loop

200K input + 10K output tokens

GLM 4.7 Flash$0.017Exceeds the context window
GPT-5 Nano$0.014Fits in one request

GPT-5 Nano 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-5 Nano
SpecificationZ.ai GLM 4.7 FlashOpenAI GPT-5 Nano
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedJanuary 19, 2026August 7, 2025
Context window200K400K
Input $/Mtok$0.0653$0.05
Output $/Mtok$0.40$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computable$0.109
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.7 Flash better than GPT-5 Nano for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.7 Flash for work measured by GPQA Diamond (Artificial Analysis run) or Humanity's Last Exam (Artificial Analysis run), where it leads.

Which is cheaper, GLM 4.7 Flash or GPT-5 Nano?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 per million output tokens; GPT-5 Nano costs $0.05 and $0.40. Cost per solved task is known for GPT-5 Nano only.

Which has the bigger context window, GLM 4.7 Flash or GPT-5 Nano?

GPT-5 Nano, with 400K tokens against 200K.

How many benchmarks is the GLM 4.7 Flash vs GPT-5 Nano comparison based on?

41 benchmarks have a result for both models as of October 21, 2026. GLM 4.7 Flash's coding index rests on 0 independent benchmarks and GPT-5 Nano's on 0. Where only one model has a result, the page says so instead of naming a winner.

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