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GLM 5.3 FlashX vs Grok 4.20

GLM 5.3 FlashX costs 2.0x less per output token than Grok 4.20 ($1.25 vs $2.50 per million). Updated October 21, 2026; no benchmark has tested both models yet.

GLM 5.3 FlashXZ.ai
Coding
No data
Overall
No data
Output $/M
$1.25
Grok 4.20xAI
Coding
33.3
Overall
25.7
Output $/M
$2.50
vs $1.25 vs $2.50 per 1M output tokens. GLM 5.3 FlashX is 2.0x cheaper.

GLM 5.3 FlashX or Grok 4.20: which to pick

Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; GLM 5.3 FlashX has none, so the two cannot be ranked on coding.

Pick GLM 5.3 FlashX for output tokens 2.0x cheaper ($1.25 vs $2.50 per million).

No benchmark has tested both yet. GLM 5.3 FlashX has none yet; Grok 4.20 on LiveCodeBench (Vals AI), SWE-bench Verified (Vals AI) and Vibe Code Bench (Vals AI). Compare them on price and context instead.

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 5.3 FlashX not benchmarked, Grok 4.20 33.3 from 2 benchmarks.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
GLM 5.3 FlashX $1.25 against Grok 4.20 $2.50 per million output tokens, 2.0x apart.
Context window
GLM 5.3 FlashX takes 1.05M tokens, Grok 4.20 2M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index8 boards measured
Coding benchmarks for GLM 5.3 FlashX and Grok 4.20
BenchmarkGLM 5.3 FlashXGrok 4.20Leader
LiveCodeBench (Vals AI)Not measured84.3%Only Grok 4.20 measured
SWE-bench Verified (Vals AI)Not measured72.2%Only Grok 4.20 measured
Vibe Code Bench (Vals AI)Not measured4.1%Only Grok 4.20 measured
Code migration (Vals AI)Not measured0.3%Only Grok 4.20 measured
Terminal-Bench 2.1 (Vals AI)Not measured44.2%Only Grok 4.20 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured37.9%Only Grok 4.20 measured
Terminal-BenchNot measured57.3%Only Grok 4.20 measured
WeirdMLNot measured52.3%Only Grok 4.20 measured
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for GLM 5.3 FlashX and Grok 4.20
BenchmarkGLM 5.3 FlashXGrok 4.20Leader
AA Intelligence IndexNot measured25.7Only Grok 4.20 measured
Epoch Capabilities IndexNot measured152.1Only Grok 4.20 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards measured
Agentic work benchmarks for GLM 5.3 FlashX and Grok 4.20
BenchmarkGLM 5.3 FlashXGrok 4.20Leader
Design Arena: agents building web appsNot measured1144Only Grok 4.20 measured
Design Arena: agents building full-stack appsNot measured1054Only Grok 4.20 measured
Design Arena: agents building mobile appsNot measured1090Only Grok 4.20 measured
Design Arena: agents building Android appsNot measured1052Only Grok 4.20 measured
Design Arena: agents building Godot gamesNot measured1089Only Grok 4.20 measured
Design Arena: HTML slidesNot measured1180Only Grok 4.20 measured
Finance Agent (Vals AI)Not measured28.5%Only Grok 4.20 measured
Tax Agent Bench (Vals AI)Not measured7.0%Only Grok 4.20 measured
Legal Research Bench (Vals AI)Not measured13.9%Only Grok 4.20 measured
Excel Modeling Benchmark (Vals AI)Not measured11.7%Only Grok 4.20 measured
τ²-Bench TelecomNot measured93.0%Only Grok 4.20 measured
Vending-Bench 2Not measured$4,663Only Grok 4.20 measured
Neither model has a result on the other 27 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Reasoning benchmarks for GLM 5.3 FlashX and Grok 4.20
BenchmarkGLM 5.3 FlashXGrok 4.20Leader
GPQA DiamondNot measured88.6%Only Grok 4.20 measured
MMMU Pro (Vals AI)Not measured83.5%Only Grok 4.20 measured
GPQA Diamond (Artificial Analysis run)Not measured91.1%Only Grok 4.20 measured
Humanity's Last Exam (Artificial Analysis run)Not measured34.5%Only Grok 4.20 measured
ARC-AGINot measured89.5%Only Grok 4.20 measured
ARC-AGI-2Not measured65.1%Only Grok 4.20 measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Math benchmarks for GLM 5.3 FlashX and Grok 4.20
BenchmarkGLM 5.3 FlashXGrok 4.20Leader
AIMENot measured96.5%Only Grok 4.20 measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Knowledge benchmarks for GLM 5.3 FlashX and Grok 4.20
BenchmarkGLM 5.3 FlashXGrok 4.20Leader
MMLU ProNot measured86.3%Only Grok 4.20 measured
LegalBench (Vals AI)Not measured77.7%Only Grok 4.20 measured
CaseLaw (Vals AI)Not measured54.4%Only Grok 4.20 measured
CorpFin (Vals AI)Not measured63.7%Only Grok 4.20 measured
TaxEval (Vals AI)Not measured74.1%Only Grok 4.20 measured
MortgageTax (Vals AI)Not measured45.4%Only Grok 4.20 measured
MedQA (Vals AI)Not measured94.5%Only Grok 4.20 measured
MedCode (Vals AI)Not measured32.2%Only Grok 4.20 measured
Neither model has a result on the other 9 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Web design benchmarks for GLM 5.3 FlashX and Grok 4.20
BenchmarkGLM 5.3 FlashXGrok 4.20Leader
Design Arena: websitesNot measured1229Only Grok 4.20 measured
Design Arena: UI componentsNot measured1199Only Grok 4.20 measured
Design Arena: game devNot measured1192Only Grok 4.20 measured
Design Arena: data vizNot measured1217Only Grok 4.20 measured
Design Arena: 3DNot measured1193Only Grok 4.20 measured
Design Arena: all code categoriesNot measured1221Only Grok 4.20 measured
Design Arena: SVGNot measured1164Only Grok 4.20 measured
Design Arena: ASCII artNot measured1174Only Grok 4.20 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
General benchmarks for GLM 5.3 FlashX and Grok 4.20
BenchmarkGLM 5.3 FlashXGrok 4.20Leader
SAGE (Vals AI)Not measured38.2%Only Grok 4.20 measured
MedScribe (Vals AI)Not measured63.4%Only Grok 4.20 measured
Vals Multimodal IndexNot measured39.1%Only Grok 4.20 measured
IFBenchNot measured81.2%Only Grok 4.20 measured
Long context reasoning (AA-LCR)Not measured69.0%Only Grok 4.20 measured
DTBenchNot measured90.1%Only Grok 4.20 measured
LMCANot measured38.7%Only Grok 4.20 measured
CL-benchNot measured22.2%Only Grok 4.20 measured
CL-bench LifeNot measured11.9%Only Grok 4.20 measured
Neither model has a result on the other 37 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 5.3 FlashX$0.0010Fits in one request
Grok 4.20$0.0025Fits in one request

GLM 5.3 FlashX costs less

Repository review

50K input + 3K output tokens

GLM 5.3 FlashX$0.022Fits in one request
Grok 4.20$0.070Fits in one request

GLM 5.3 FlashX costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 FlashX$0.086Fits in one request
Grok 4.20$0.275Fits in one request

GLM 5.3 FlashX 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 5.3 FlashX and Grok 4.20
SpecificationZ.ai GLM 5.3 FlashXSpaceXAI Grok 4.20
MakerZ.aixAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 18, 2026March 31, 2026
Context window1.05M2M
Input $/Mtok$0.37$1.25
Output $/Mtok$1.25$2.50
Coding indexNot benchmarked33.3
Independent measurements behind it02
Cost per solved taskNot computable$0.72
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 FlashX better than Grok 4.20 for coding?

Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; GLM 5.3 FlashX has none, so the two cannot be ranked on coding. Pick GLM 5.3 FlashX for output tokens 2.0x cheaper ($1.25 vs $2.50 per million).

Which is cheaper, GLM 5.3 FlashX or Grok 4.20?

GLM 5.3 FlashX costs $0.37 per million input tokens and $1.25 per million output tokens; Grok 4.20 costs $1.25 and $2.50. Cost per solved task is known for Grok 4.20 only.

Which has the bigger context window, GLM 5.3 FlashX or Grok 4.20?

Grok 4.20, with 2M tokens against 1.05M.

Has any benchmark tested both GLM 5.3 FlashX and Grok 4.20?

No benchmark has tested both yet. GLM 5.3 FlashX has none yet; Grok 4.20 on LiveCodeBench (Vals AI), SWE-bench Verified (Vals AI) and Vibe Code Bench (Vals AI). Compare them on price and context instead. Data as of October 21, 2026.

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