Enter opens the highlighted result. Esc closes.

GLM 5.3 FlashX vs GPT-5.2 Chat

GLM 5.3 FlashX costs 11.2x less per output token than GPT-5.2 Chat ($1.25 vs $14.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Replace GLM 5.3 FlashX Replace GPT-5.2 Chat
GLM 5.3 FlashXZ.ai
Coding
No data
Overall
No data
Output $/M
$1.25
GPT-5.2 ChatOpenAI
Coding
No data
Overall
No data
Output $/M
$14.00
vs $1.25 vs $14.00 per 1M output tokens. GLM 5.3 FlashX is 11.2x cheaper.

GLM 5.3 FlashX or GPT-5.2 Chat: 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 11.2x cheaper ($1.25 vs $14.00 per million) and a larger context window (1.05M against 128K tokens).

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

No benchmark has tested either model yet, so price and context are the only way to compare them.

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 Chat 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 Chat $14.00 per million output tokens, 11.2x apart.
Context window
GLM 5.3 FlashX takes 1.05M tokens, GPT-5.2 Chat 128K.

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.

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 Chat$0.0088Fits 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 Chat$0.130Fits 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 Chat$0.490Exceeds the context window

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 Chat
SpecificationZ.ai GLM 5.3 FlashXOpenAI GPT-5.2 Chat
MakerZ.aiOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 18, 2026December 10, 2025
Context window1.05M128K
Input $/Mtok$0.37$1.75
Output $/Mtok$1.25$14.00
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 Chat 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 11.2x cheaper ($1.25 vs $14.00 per million) and a larger context window (1.05M against 128K tokens).

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

GLM 5.3 FlashX costs $0.37 per million input tokens and $1.25 per million output tokens; GPT-5.2 Chat costs $1.75 and $14.00. Cost per solved task is known for neither of them.

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

GLM 5.3 FlashX, with 1.05M tokens against 128K.

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

No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 21, 2026.

Compare next