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GLM 4.7 Flash vs Step 5 Preview

Updated October 21, 2026. 27 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GLM 4.7 FlashZ.ai
Coding
No data
Overall
14.9
Output $/M
$0.40
0
Step 5 PreviewStepFun
Coding
61.1
Overall
43.7
Output $/M
$2.70
27
vs boards won of 27 shared

Decision reading

Only Step 5 Preview has a coding score, 61.1 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding.

GLM 4.7 Flash has the edge where output tokens cost 6.8x less.

Shared results
27
GLM 4.7 Flash only
16
Step 5 Preview only
34
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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, Step 5 Preview 61.1 from 4 benchmarks.
Widest category
Intelligence, 28.8 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): GLM 4.7 Flash 41.7% against Step 5 Preview 88.3%, 46.7 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against Step 5 Preview $2.70 per million output tokens, 6.8x apart.
Context window
GLM 4.7 Flash takes 200K tokens, Step 5 Preview 1.05M.

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 FlashBarsStep 5 PreviewTies
Coding02
Intelligence01
Reasoning04
Math02
Knowledge04
General014
All shared boards027
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GLM 4.7 Flash and Step 5 Preview
BenchmarkGLM 4.7 FlashStep 5 PreviewLeader
LiveBench codingNot measured85.6%Only Step 5 Preview measured
LMArena WebDevNot measured1567Only Step 5 Preview measured
Terminal-Bench 4 (Vals AI)Not measured31.8%Only Step 5 Preview measured
Vibe Code Bench (Vals AI)Not measured70.4%Only Step 5 Preview measured
Code migration (Vals AI)Not measured39.0%Only Step 5 Preview measured
IOI (Vals AI)Not measured38.1%Only Step 5 Preview measured
SWE-bench Multimodal (Vals AI)Not measured40.8%Only Step 5 Preview measured
SciCodeNot measured58.9%Only Step 5 Preview measured
Terminal-Bench Hard (Artificial Analysis run)22.0%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: coding13821485Step 5 Preview
LMArena Text: software and IT13891473Step 5 Preview
LMArena WebDev: ReactNot measured1583Only Step 5 Preview measured
LMArena WebDev: HTMLNot measured1556Only Step 5 Preview measured
LMArena WebDev: from an imageNot measured1550Only Step 5 Preview measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.7 Flash and Step 5 Preview
BenchmarkGLM 4.7 FlashStep 5 PreviewLeader
AA Intelligence Index14.943.7Step 5 Preview
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for GLM 4.7 Flash and Step 5 Preview
BenchmarkGLM 4.7 FlashStep 5 PreviewLeader
LiveBench researchNot measured72.8%Only Step 5 Preview measured
LiveBench browserNot measured24.0%Only Step 5 Preview measured
LiveBench long agenticNot measured27.5%Only Step 5 Preview measured
SREBench (Vals AI)Not measured0.4%Only Step 5 Preview measured
Finance Agent (Vals AI)Not measured50.7%Only Step 5 Preview measured
Tax Agent Bench (Vals AI)Not measured27.3%Only Step 5 Preview measured
Legal Research Bench (Vals AI)Not measured40.4%Only Step 5 Preview measured
Excel Modeling Benchmark (Vals AI)Not measured57.1%Only Step 5 Preview measured
BioMysteryBench (Vals AI)Not measured67.4%Only Step 5 Preview measured
Terminal-Bench-Science (Vals AI)Not measured2.9%Only Step 5 Preview measured
Vals Science IndexNot measured29.6%Only Step 5 Preview measured
τ²-Bench Telecom98.8%Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GLM 4.7 Flash and Step 5 Preview
BenchmarkGLM 4.7 FlashStep 5 PreviewLeader
LiveBench reasoningNot measured83.8%Only Step 5 Preview measured
MysteryMechanism (Vals AI)Not measured18.5%Only Step 5 Preview measured
GPQA Diamond (Artificial Analysis run)58.1%Not measuredOnly GLM 4.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)7.6%46.5%Step 5 Preview
GPQA Diamond (Epoch AI run)60.5%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: hard prompts13561461Step 5 Preview
LMArena Text: expert13571485Step 5 Preview
LMArena Text: hard prompts in English13691454Step 5 Preview
LMArena Vision: diagramsNot measured1308Only Step 5 Preview measured
LMArena Vision: homeworkNot measured1265Only Step 5 Preview measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 4.7 Flash and Step 5 Preview
BenchmarkGLM 4.7 FlashStep 5 PreviewLeader
OTIS Mock AIME58.3%Not measuredOnly GLM 4.7 Flash measured
ProofBenchNot measured42.0%Only Step 5 Preview measured
LMArena Text: math13551458Step 5 Preview
LMArena Text: mathematical work13691460Step 5 Preview
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.7 Flash and Step 5 Preview
BenchmarkGLM 4.7 FlashStep 5 PreviewLeader
LMArena Text: science13581454Step 5 Preview
LMArena Text: medicine and healthcare13431439Step 5 Preview
LMArena Text: legal and government13571437Step 5 Preview
LMArena Text: business and finance13431435Step 5 Preview
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GLM 4.7 Flash and Step 5 Preview
BenchmarkGLM 4.7 FlashStep 5 PreviewLeader
Design Arena: websites1194Not measuredOnly GLM 4.7 Flash measured
Design Arena: UI components1208Not measuredOnly GLM 4.7 Flash measured
Design Arena: game dev1135Not measuredOnly GLM 4.7 Flash measured
Design Arena: data viz1123Not measuredOnly GLM 4.7 Flash measured
Design Arena: 3D1121Not measuredOnly GLM 4.7 Flash measured
Design Arena: all code categories1178Not measuredOnly GLM 4.7 Flash measured
Design Arena: SVG1038Not measuredOnly GLM 4.7 Flash measured
LiveBench designNot measured76.9%Only Step 5 Preview measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for GLM 4.7 Flash and Step 5 Preview
BenchmarkGLM 4.7 FlashStep 5 PreviewLeader
LiveBench data analysisNot measured63.5%Only Step 5 Preview measured
Public Benefits Bench (Vals AI)Not measured58.1%Only Step 5 Preview measured
IFBench60.8%Not measuredOnly GLM 4.7 Flash measured
Long context reasoning (AA-LCR)41.7%88.3%Step 5 Preview
LMArena Text13511440Step 5 Preview
LMArena Text: instruction following13271438Step 5 Preview
LMArena Text: creative writing12961409Step 5 Preview
LMArena VisionNot measured1265Only Step 5 Preview measured
LMArena Text: English13731447Step 5 Preview
LMArena Text: non-English13301428Step 5 Preview
LMArena Text: Chinese14031500Step 5 Preview
LMArena Text: German1336Not measuredOnly GLM 4.7 Flash measured
LMArena Text: JapaneseNot measured1383Only Step 5 Preview measured
LMArena Text: Korean1283Not measuredOnly GLM 4.7 Flash measured
LMArena Text: French13321438Step 5 Preview
LMArena Text: Spanish13501441Step 5 Preview
LMArena Text: Russian13331433Step 5 Preview
LMArena Text: Polish1291Not measuredOnly GLM 4.7 Flash measured
LMArena Text: multi-turn13421437Step 5 Preview
LMArena Text: longer queries13451449Step 5 Preview
LMArena Text: writing and language13201425Step 5 Preview
LMArena Text: entertainment and media13041412Step 5 Preview
LMArena Vision: EnglishNot measured1290Only Step 5 Preview measured
LMArena Vision: reading textNot measured1282Only Step 5 Preview 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 Step 5 Preview
BenchmarkGLM 4.7 FlashStep 5 PreviewLeader
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
Step 5 Preview$0.0024Fits 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
Step 5 Preview$0.058Fits 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
Step 5 Preview$0.227Fits in one request

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 Step 5 Preview
SpecificationZ.ai GLM 4.7 FlashStepFun Step 5 Preview
MakerZ.aiStepFun
WeightsOpen weightsOpen weights
ReleasedJanuary 19, 2026October 8, 2026
Context window200K1.05M
Input $/Mtok$0.0653$1.00
Output $/Mtok$0.40$2.70
Coding indexNot benchmarked61.1
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.7 Flash better than Step 5 Preview for coding?

Only Step 5 Preview has a coding score, 61.1 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding. GLM 4.7 Flash has the edge where output tokens cost 6.8x less.

Which is cheaper, GLM 4.7 Flash or Step 5 Preview?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 per million output tokens; Step 5 Preview costs $1.00 and $2.70. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.7 Flash or Step 5 Preview?

Step 5 Preview, with 1.05M tokens against 200K.

How many benchmarks is the GLM 4.7 Flash vs Step 5 Preview comparison based on?

27 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 Step 5 Preview's on 4. Where only one model has a result, the page says so instead of naming a winner.

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