GLM 5.3 Prime vs GPT-5 Pro
GLM 5.3 Prime costs 13.6x less per output token than GPT-5 Pro ($8.80 vs $120.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $8.80
- Coding
- No data
- Overall
- No data
- Output $/M
- $120.00
GLM 5.3 Prime or GPT-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 13.6x cheaper ($8.80 vs $120.00 per million) and a larger context window (1M against 400K tokens).
No benchmark has tested both yet. GLM 5.3 Prime has none yet; GPT-5 Pro on WeirdML, Epoch Capabilities Index and ARC-AGI. 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
GLM 5.3 Prime
GLM 5.3 Prime takes 1M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GLM 5.3 Prime
GLM 5.3 Prime $0.0072, GPT-5 Pro $0.075 per turn.
List prices
At a glance
- Coding index
- GLM 5.3 Prime not benchmarked, GPT-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 Pro $120.00 per million output tokens, 13.6x apart.
- Context window
- GLM 5.3 Prime takes 1M tokens, GPT-5 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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board measured
| Benchmark | GLM 5.3 Prime | GPT-5 Pro | Leader |
|---|---|---|---|
| WeirdML | Not measured | 60.4% | Only GPT-5 Pro measured |
| Neither model has a result on the other 38 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GLM 5.3 Prime | GPT-5 Pro | Leader |
|---|---|---|---|
| Epoch Capabilities Index | Not measured | 150.6 | Only GPT-5 Pro measured |
| Neither model has a result on the other 1 board here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | GLM 5.3 Prime | GPT-5 Pro | Leader |
|---|---|---|---|
| ARC-AGI | Not measured | 70.2% | Only GPT-5 Pro measured |
| ARC-AGI-2 | Not measured | 18.3% | Only GPT-5 Pro measured |
| SimpleBench | Not measured | 61.6% | Only GPT-5 Pro measured |
| Chess puzzles | Not measured | 48.0% | Only GPT-5 Pro measured |
| Kagi LLM Benchmark | Not measured | 76.8% | Only GPT-5 Pro measured |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | GLM 5.3 Prime | GPT-5 Pro | Leader |
|---|---|---|---|
| FrontierMath, tiers 1 to 3 | Not measured | 55.8% | Only GPT-5 Pro measured |
| FrontierMath, tier 4 | Not measured | 19.5% | Only GPT-5 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 Prime costs less
Repository review
50K input + 3K output tokens
GLM 5.3 Prime costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | Z.ai GLM 5.3 Prime | OpenAI GPT-5 Pro |
|---|---|---|
| Maker | Z.ai | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | September 23, 2026 | October 6, 2025 |
| Context window | 1M | 400K |
| Input $/Mtok | $2.80 | $15.00 |
| Output $/Mtok | $8.80 | $120.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GLM 5.3 Prime better than GPT-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 13.6x cheaper ($8.80 vs $120.00 per million) and a larger context window (1M against 400K tokens).
Which is cheaper, GLM 5.3 Prime or GPT-5 Pro?
GLM 5.3 Prime costs $2.80 per million input tokens and $8.80 per million output tokens; GPT-5 Pro costs $15.00 and $120.00. Cost per solved task is known for neither of them.
Which has the bigger context window, GLM 5.3 Prime or GPT-5 Pro?
GLM 5.3 Prime, with 1M tokens against 400K.
Has any benchmark tested both GLM 5.3 Prime and GPT-5 Pro?
No benchmark has tested both yet. GLM 5.3 Prime has none yet; GPT-5 Pro on WeirdML, Epoch Capabilities Index and ARC-AGI. Compare them on price and context instead. Data as of October 21, 2026.