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GLM 4.7 Flash vs Grok Build 0.1

Grok Build 0.1 leads GLM 4.7 Flash on the Artificial Analysis Intelligence Index, 27.2 to 14.9, and GLM 4.7 Flash costs 5.0x less per output token ($0.40 vs $2.00 per million). Updated October 21, 2026; 1 benchmarks have a result for both.

GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
0
Grok Build 0.1xAI
Coding
No data
Overall
No data
Output $/M
$2.00
1
vs boards won of 1 shared

GLM 4.7 Flash or Grok Build 0.1: 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 5.0x cheaper ($0.40 vs $2.00 per million) and work measured by AA Intelligence Index, where it leads.

Shared results
1
GLM 4.7 Flash only
42
Grok Build 0.1 only
2
Like-for-like categories
1 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, Grok Build 0.1 not benchmarked.
Widest category
Intelligence, 12.3 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: GLM 4.7 Flash 14.9 against Grok Build 0.1 27.2, 12.3 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against Grok Build 0.1 $2.00 per million output tokens, 5.0x apart.
Context window
GLM 4.7 Flash takes 200K tokens, Grok Build 0.1 256K.

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 FlashBarsGrok Build 0.1Ties
Intelligence01
All shared boards01
CodingDirectional onlySix of these boards feed the Vibe Coding Index5 boards, none shared
Coding benchmarks for GLM 4.7 Flash and Grok Build 0.1
BenchmarkGLM 4.7 FlashGrok Build 0.1Leader
AA Coding IndexNot measured51.5Only Grok Build 0.1 measured
Vibe Code Bench (Vals AI)Not measured13.4%Only Grok Build 0.1 measured
Terminal-Bench Hard (Artificial Analysis run)22.0%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: coding1382Not measuredOnly GLM 4.7 Flash measured
LMArena Text: software and IT1389Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.7 Flash and Grok Build 0.1
BenchmarkGLM 4.7 FlashGrok Build 0.1Leader
AA Intelligence Index14.927.2Grok Build 0.1
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GLM 4.7 Flash and Grok Build 0.1
BenchmarkGLM 4.7 FlashGrok Build 0.1Leader
τ²-Bench Telecom98.8%Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Reasoning benchmarks for GLM 4.7 Flash and Grok Build 0.1
BenchmarkGLM 4.7 FlashGrok Build 0.1Leader
GPQA Diamond (Artificial Analysis run)58.1%Not measuredOnly GLM 4.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)7.6%Not measuredOnly GLM 4.7 Flash measured
GPQA Diamond (Epoch AI run)60.5%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: hard prompts1356Not measuredOnly GLM 4.7 Flash measured
LMArena Text: expert1357Not measuredOnly GLM 4.7 Flash measured
LMArena Text: hard prompts in English1369Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for GLM 4.7 Flash and Grok Build 0.1
BenchmarkGLM 4.7 FlashGrok Build 0.1Leader
OTIS Mock AIME58.3%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: math1355Not measuredOnly GLM 4.7 Flash measured
LMArena Text: mathematical work1369Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Knowledge benchmarks for GLM 4.7 Flash and Grok Build 0.1
BenchmarkGLM 4.7 FlashGrok Build 0.1Leader
LMArena Text: science1358Not measuredOnly GLM 4.7 Flash measured
LMArena Text: medicine and healthcare1343Not measuredOnly GLM 4.7 Flash measured
LMArena Text: legal and government1357Not measuredOnly GLM 4.7 Flash measured
LMArena Text: business and finance1343Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 14 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 Grok Build 0.1
BenchmarkGLM 4.7 FlashGrok Build 0.1Leader
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
Neither model has a result on the other 2 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
General benchmarks for GLM 4.7 Flash and Grok Build 0.1
BenchmarkGLM 4.7 FlashGrok Build 0.1Leader
IFBench60.8%Not measuredOnly GLM 4.7 Flash measured
Long context reasoning (AA-LCR)41.7%Not measuredOnly GLM 4.7 Flash measured
LMArena Text1351Not measuredOnly GLM 4.7 Flash measured
LMArena Text: instruction following1327Not measuredOnly GLM 4.7 Flash measured
LMArena Text: creative writing1296Not measuredOnly GLM 4.7 Flash measured
LMArena Text: English1373Not measuredOnly GLM 4.7 Flash measured
LMArena Text: non-English1330Not measuredOnly GLM 4.7 Flash measured
LMArena Text: Chinese1403Not measuredOnly GLM 4.7 Flash measured
LMArena Text: German1336Not measuredOnly GLM 4.7 Flash measured
LMArena Text: Korean1283Not measuredOnly GLM 4.7 Flash measured
LMArena Text: French1332Not measuredOnly GLM 4.7 Flash measured
LMArena Text: Spanish1350Not measuredOnly GLM 4.7 Flash measured
LMArena Text: Russian1333Not measuredOnly GLM 4.7 Flash measured
LMArena Text: Polish1291Not measuredOnly GLM 4.7 Flash measured
LMArena Text: multi-turn1342Not measuredOnly GLM 4.7 Flash measured
LMArena Text: longer queries1345Not measuredOnly GLM 4.7 Flash measured
LMArena Text: writing and language1320Not measuredOnly GLM 4.7 Flash measured
LMArena Text: entertainment and media1304Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 28 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 Grok Build 0.1
BenchmarkGLM 4.7 FlashGrok Build 0.1Leader
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
Grok Build 0.1$0.0020Fits 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
Grok Build 0.1$0.056Fits 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
Grok Build 0.1$0.220Fits 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 Grok Build 0.1
SpecificationZ.ai GLM 4.7 FlashSpaceXAI Grok Build 0.1
MakerZ.aixAI
WeightsOpen weightsNo public weights listed
ReleasedJanuary 19, 2026May 20, 2026
Context window200K256K
Input $/Mtok$0.0653$1.00
Output $/Mtok$0.40$2.00
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 Grok Build 0.1 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 5.0x cheaper ($0.40 vs $2.00 per million) and work measured by AA Intelligence Index, where it leads.

Which is cheaper, GLM 4.7 Flash or Grok Build 0.1?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 per million output tokens; Grok Build 0.1 costs $1.00 and $2.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.7 Flash or Grok Build 0.1?

Grok Build 0.1, with 256K tokens against 200K.

How many benchmarks is the GLM 4.7 Flash vs Grok Build 0.1 comparison based on?

1 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 Grok Build 0.1's on 1. Where only one model has a result, the page says so instead of naming a winner.

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