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GLM 4.7 Flash vs Qwen3 Coder 480B A35B

Updated October 21, 2026. 39 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 4.7 Flash Replace Qwen3 Coder 480B A35B
GLM 4.7 FlashZ.ai
Coding
No data
Overall
14.9
Output $/M
$0.40
16
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
11.9
Output $/M
$1.50
23
vs boards won of 39 shared

Decision reading

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

GLM 4.7 Flash has the edge where output tokens cost 3.8x less, and where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 Coder 480B A35BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
39
GLM 4.7 Flash only
4
Qwen3 Coder 480B A35B only
13
Like-for-like categories
8 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, Qwen3 Coder 480B A35B not benchmarked.
Widest category
Agentic work, 55.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 4.7 Flash 98.8% against Qwen3 Coder 480B A35B 43.6%, 55.3 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 3.8x apart.
Context window
GLM 4.7 Flash takes 200K tokens, Qwen3 Coder 480B A35B 262K.

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 FlashBarsQwen3 Coder 480B A35BTies
Coding12
Intelligence10
Agentic work10
Reasoning23
Math11
Knowledge13
Web design50
General414
All shared boards1623
CodingLike-for-likeSix of these boards feed the Vibe Coding Index12
Coding benchmarks for GLM 4.7 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 4.7 FlashQwen3 Coder 480B A35BLeader
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
LMArena WebDevNot measured1275Only Qwen3 Coder 480B A35B measured
LiveCodeBench (Artificial Analysis run)Not measured58.5%Only Qwen3 Coder 480B A35B measured
Terminal-Bench Hard (Artificial Analysis run)22.0%18.9%GLM 4.7 Flash
Terminal-BenchNot measured27.2%Only Qwen3 Coder 480B A35B measured
GSO-BenchNot measured4.9%Only Qwen3 Coder 480B A35B measured
WeirdMLNot measured41.2%Only Qwen3 Coder 480B A35B measured
ALE-BenchNot measured461.4Only Qwen3 Coder 480B A35B measured
LMArena Text: coding13821412Qwen3 Coder 480B A35B
LMArena Text: software and IT13891393Qwen3 Coder 480B A35B
LMArena WebDev: ReactNot measured1257Only Qwen3 Coder 480B A35B measured
LMArena WebDev: HTMLNot measured1287Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.7 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 4.7 FlashQwen3 Coder 480B A35BLeader
AA Intelligence Index14.911.9GLM 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 Qwen3 Coder 480B A35B
BenchmarkGLM 4.7 FlashQwen3 Coder 480B A35BLeader
τ²-Bench Telecom98.8%43.6%GLM 4.7 Flash
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
Reasoning benchmarks for GLM 4.7 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 4.7 FlashQwen3 Coder 480B A35BLeader
GPQA Diamond (Artificial Analysis run)58.1%61.8%Qwen3 Coder 480B A35B
Humanity's Last Exam (Artificial Analysis run)7.6%4.5%GLM 4.7 Flash
GPQA Diamond (Epoch AI run)60.5%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: hard prompts13561372Qwen3 Coder 480B A35B
LMArena Text: expert13571338GLM 4.7 Flash
LMArena Text: hard prompts in English13691380Qwen3 Coder 480B A35B
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for GLM 4.7 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 4.7 FlashQwen3 Coder 480B A35BLeader
AA Math IndexNot measured39.3Only Qwen3 Coder 480B A35B measured
AIME 2025 (Artificial Analysis run)Not measured39.3%Only Qwen3 Coder 480B A35B measured
OTIS Mock AIME58.3%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: math13551365Qwen3 Coder 480B A35B
LMArena Text: mathematical work13691367GLM 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 index13
Knowledge benchmarks for GLM 4.7 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 4.7 FlashQwen3 Coder 480B A35BLeader
MMLU Pro (Artificial Analysis run)Not measured78.8%Only Qwen3 Coder 480B A35B measured
LMArena Text: science13581347GLM 4.7 Flash
LMArena Text: medicine and healthcare13431347Qwen3 Coder 480B A35B
LMArena Text: legal and government13571358Qwen3 Coder 480B A35B
LMArena Text: business and finance13431343Qwen3 Coder 480B A35B
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for GLM 4.7 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 4.7 FlashQwen3 Coder 480B A35BLeader
Design Arena: websites11941159GLM 4.7 Flash
Design Arena: UI components12081113GLM 4.7 Flash
Design Arena: game dev11351099GLM 4.7 Flash
Design Arena: data viz11231084GLM 4.7 Flash
Design Arena: 3D1121Not measuredOnly GLM 4.7 Flash measured
Design Arena: all code categories11781143GLM 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 index414
General benchmarks for GLM 4.7 Flash and Qwen3 Coder 480B A35B
BenchmarkGLM 4.7 FlashQwen3 Coder 480B A35BLeader
IFBench60.8%40.5%GLM 4.7 Flash
Long context reasoning (AA-LCR)41.7%45.7%Qwen3 Coder 480B A35B
LMArena Text13511357Qwen3 Coder 480B A35B
LMArena Text: instruction following13271355Qwen3 Coder 480B A35B
LMArena Text: creative writing12961333Qwen3 Coder 480B A35B
LMArena Text: English13731359GLM 4.7 Flash
LMArena Text: non-English13301346Qwen3 Coder 480B A35B
LMArena Text: Chinese14031357GLM 4.7 Flash
LMArena Text: German13361325GLM 4.7 Flash
LMArena Text: JapaneseNot measured1311Only Qwen3 Coder 480B A35B measured
LMArena Text: Korean12831305Qwen3 Coder 480B A35B
LMArena Text: French13321398Qwen3 Coder 480B A35B
LMArena Text: Spanish13501360Qwen3 Coder 480B A35B
LMArena Text: Russian13331366Qwen3 Coder 480B A35B
LMArena Text: Polish12911344Qwen3 Coder 480B A35B
LMArena Text: multi-turn13421366Qwen3 Coder 480B A35B
LMArena Text: longer queries13451378Qwen3 Coder 480B A35B
LMArena Text: writing and language13201340Qwen3 Coder 480B A35B
LMArena Text: entertainment and media13041317Qwen3 Coder 480B A35B
Neither model has a result on the other 27 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 Qwen3 Coder 480B A35B
BenchmarkGLM 4.7 FlashQwen3 Coder 480B A35BLeader
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
Qwen3 Coder 480B A35B$0.0010Fits 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
Qwen3 Coder 480B A35B$0.019Fits 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
Qwen3 Coder 480B A35B$0.075Fits 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 Qwen3 Coder 480B A35B
SpecificationZ.ai GLM 4.7 FlashQwen3 Coder 480B A35B
MakerZ.aiQwen
WeightsOpen weightsOpen weights
ReleasedJanuary 19, 2026July 23, 2025
Context window200K262K
Input $/Mtok$0.0653$0.30
Output $/Mtok$0.40$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.7 Flash better than Qwen3 Coder 480B A35B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. GLM 4.7 Flash has the edge where output tokens cost 3.8x less, and where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GLM 4.7 Flash or Qwen3 Coder 480B A35B?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.7 Flash or Qwen3 Coder 480B A35B?

Qwen3 Coder 480B A35B, with 262K tokens against 200K.

How many benchmarks is the GLM 4.7 Flash vs Qwen3 Coder 480B A35B comparison based on?

39 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 Qwen3 Coder 480B A35B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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