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GLM 5.3 FlashX vs GPT-5.2 Pro

GLM 5.3 FlashX costs 134.4x less per output token than GPT-5.2 Pro ($1.25 vs $168.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Replace GLM 5.3 FlashX Replace GPT-5.2 Pro
GLM 5.3 FlashXZ.ai
Coding
No data
Overall
No data
Output $/M
$1.25
GPT-5.2 ProOpenAI
Coding
No data
Overall
No data
Output $/M
$168.00
vs $1.25 vs $168.00 per 1M output tokens. GLM 5.3 FlashX is 134.4x cheaper.

GLM 5.3 FlashX or GPT-5.2 Pro: which to pick

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

Pick GLM 5.3 FlashX for output tokens 134.4x cheaper ($1.25 vs $168.00 per million) and a larger context window (1.05M against 400K tokens).

Model AGLM 5.3 FlashXZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5.2 ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GLM 5.3 FlashX has none yet; GPT-5.2 Pro on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2. 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, GPT-5.2 Pro not benchmarked.
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 GPT-5.2 Pro $168.00 per million output tokens, 134.4x apart.
Context window
GLM 5.3 FlashX takes 1.05M tokens, GPT-5.2 Pro 400K.

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.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for GLM 5.3 FlashX and GPT-5.2 Pro
BenchmarkGLM 5.3 FlashXGPT-5.2 ProLeader
Epoch Capabilities IndexNot measured156.3Only GPT-5.2 Pro measured
Neither model has a result on the other 1 board here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Reasoning benchmarks for GLM 5.3 FlashX and GPT-5.2 Pro
BenchmarkGLM 5.3 FlashXGPT-5.2 ProLeader
ARC-AGINot measured90.5%Only GPT-5.2 Pro measured
ARC-AGI-2Not measured54.2%Only GPT-5.2 Pro measured
SimpleBenchNot measured57.4%Only GPT-5.2 Pro measured
Chess puzzlesNot measured60.0%Only GPT-5.2 Pro measured
Neither model has a result on the other 18 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for GLM 5.3 FlashX and GPT-5.2 Pro
BenchmarkGLM 5.3 FlashXGPT-5.2 ProLeader
FrontierMath, tiers 1 to 3Not measured74.0%Only GPT-5.2 Pro measured
FrontierMath, tier 4Not measured46.0%Only GPT-5.2 Pro measured
Neither model has a result on the other 11 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
GPT-5.2 Pro$0.105Fits 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
GPT-5.2 Pro$1.55Fits 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
GPT-5.2 Pro$5.88Fits 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 GPT-5.2 Pro
SpecificationZ.ai GLM 5.3 FlashXOpenAI GPT-5.2 Pro
MakerZ.aiOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 18, 2026December 10, 2025
Context window1.05M400K
Input $/Mtok$0.37$21.00
Output $/Mtok$1.25$168.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 FlashX better than GPT-5.2 Pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 5.3 FlashX for output tokens 134.4x cheaper ($1.25 vs $168.00 per million) and a larger context window (1.05M against 400K tokens).

Which is cheaper, GLM 5.3 FlashX or GPT-5.2 Pro?

GLM 5.3 FlashX costs $0.37 per million input tokens and $1.25 per million output tokens; GPT-5.2 Pro costs $21.00 and $168.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5.3 FlashX or GPT-5.2 Pro?

GLM 5.3 FlashX, with 1.05M tokens against 400K.

Has any benchmark tested both GLM 5.3 FlashX and GPT-5.2 Pro?

No benchmark has tested both yet. GLM 5.3 FlashX has none yet; GPT-5.2 Pro on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2. Compare them on price and context instead. Data as of October 21, 2026.

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