Enter opens the highlighted result. Esc closes.

GLM 5.3 Prime vs GPT-5.5 Pro

GLM 5.3 Prime costs 20.5x less per output token than GPT-5.5 Pro ($8.80 vs $180.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GLM 5.3 Prime Replace GPT-5.5 Pro
GLM 5.3 PrimeZ.ai
Coding
No data
Overall
No data
Output $/M
$8.80
GPT-5.5 ProOpenAI
Coding
No data
Overall
No data
Output $/M
$180.00
vs $8.80 vs $180.00 per 1M output tokens. GLM 5.3 Prime is 20.5x cheaper.

GLM 5.3 Prime or GPT-5.5 Pro: which to pick

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

Pick GLM 5.3 Prime for output tokens 20.5x cheaper ($8.80 vs $180.00 per million).

Model AGLM 5.3 PrimeZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5.5 ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GLM 5.3 Prime has none yet; GPT-5.5 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 Prime not benchmarked, GPT-5.5 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 Prime $8.80 against GPT-5.5 Pro $180.00 per million output tokens, 20.5x apart.
Context window
GLM 5.3 Prime takes 1M tokens, GPT-5.5 Pro 1.05M.

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 Prime and GPT-5.5 Pro
BenchmarkGLM 5.3 PrimeGPT-5.5 ProLeader
Epoch Capabilities IndexNot measured162.9Only GPT-5.5 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 Prime and GPT-5.5 Pro
BenchmarkGLM 5.3 PrimeGPT-5.5 ProLeader
ARC-AGINot measured96.5%Only GPT-5.5 Pro measured
ARC-AGI-2Not measured84.6%Only GPT-5.5 Pro measured
SimpleBenchNot measured76.9%Only GPT-5.5 Pro measured
Chess puzzlesNot measured62.0%Only GPT-5.5 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 Prime and GPT-5.5 Pro
BenchmarkGLM 5.3 PrimeGPT-5.5 ProLeader
FrontierMath, tiers 1 to 3Not measured87.7%Only GPT-5.5 Pro measured
FrontierMath, tier 4Not measured78.0%Only GPT-5.5 Pro measured
Neither model has a result on the other 11 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for GLM 5.3 Prime and GPT-5.5 Pro
BenchmarkGLM 5.3 PrimeGPT-5.5 ProLeader
DTBenchNot measured96.0%Only GPT-5.5 Pro measured
LMCANot measured53.9%Only GPT-5.5 Pro measured
Neither model has a result on the other 44 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 Prime$0.0072Fits in one request
GPT-5.5 Pro$0.120Fits in one request

GLM 5.3 Prime costs less

Repository review

50K input + 3K output tokens

GLM 5.3 Prime$0.166Fits in one request
GPT-5.5 Pro$2.04Fits in one request

GLM 5.3 Prime costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Prime$0.648Fits in one request
GPT-5.5 Pro$7.80Fits in one request

GLM 5.3 Prime 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 Prime and GPT-5.5 Pro
SpecificationZ.ai GLM 5.3 PrimeOpenAI GPT-5.5 Pro
MakerZ.aiOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 23, 2026April 24, 2026
Context window1M1.05M
Input $/Mtok$2.80$30.00
Output $/Mtok$8.80$180.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Prime better than GPT-5.5 Pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 5.3 Prime for output tokens 20.5x cheaper ($8.80 vs $180.00 per million).

Which is cheaper, GLM 5.3 Prime or GPT-5.5 Pro?

GLM 5.3 Prime costs $2.80 per million input tokens and $8.80 per million output tokens; GPT-5.5 Pro costs $30.00 and $180.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5.3 Prime or GPT-5.5 Pro?

GPT-5.5 Pro, with 1.05M tokens against 1M.

Has any benchmark tested both GLM 5.3 Prime and GPT-5.5 Pro?

No benchmark has tested both yet. GLM 5.3 Prime has none yet; GPT-5.5 Pro on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2. Compare them on price and context instead. Data as of October 22, 2026.

Compare next