Cheaper overall
GLM 4.6V
73% lower blended rate
Higher benchmark scores
GPT-5.4 Mini
leads on 9 of 10 figures
Bigger context window
GPT-5.4 Mini
400,000 vs 128,000 tokens
Cheaper cached input
GLM 4.6V
$0.05 vs $0.075, 33% less
Where each one wins
GPT-5.4 Mini
- Larger context window 400,000 tokens
- Longer maximum output 128,000 tokens
- Higher overall intelligence (Intelligence Index) 24.1 vs 11.2
- Higher graduate-level science (GPQA Diamond) 87.5 vs 71.9
- Higher expert-exam performance (Humanity's Last Exam) 28.1 vs 9.6
- Ahead on 6 more benchmark figures
- Offers Batch and Flex pricing not listed for GLM 4.6V
GLM 4.6V
- Cheaper input tokens $0.30 vs $0.75, 60% less
- Cheaper output tokens $0.90 vs $4.50, 80% less
- Cheaper cached input $0.05 vs $0.075, 33% less
- Cheaper on all four workloads
- Higher answer reliability (Omniscience Non-Hallucination) 48.5 vs 10.2
What four workloads cost
One run, and the same run a thousand times.
GLM 4.6V is cheaper on all four workloads, by much the same margin each time โ about 3.2 times, from $0.0008 against $0.0030 on a chat turn to $0.0546 against $0.1380 on a long document.
| Workload | GPT-5.4 Mini | GLM 4.6V | ร1,000 | Difference |
|---|---|---|---|---|
| Chat turn 1,000 in / 500 out | $0.0030 | $0.0008 | $3.00 / $0.7500 | GLM 4.6V is 75% cheaper |
| RAG answer 10,000 in / 800 out | $0.0111 | $0.0037 | $11.10 / $3.72 | GLM 4.6V is 66% cheaper |
| Agent loop 32,000 in / 700 out ร 20 calls | $0.1380 | $0.0546 | $138.00 / $54.60 | GLM 4.6V is 60% cheaper |
| Long document 400,000 in / 3,000 out | GLM 4.6V's context window holds 128,000 tokens, so a 400,000-token prompt does not fit. | |||
Price per 1M tokens
Neither model changes its rate with prompt length, so these rates apply to every request.
| Context band | Price | GPT-5.4 Mini | GLM 4.6V | Difference |
|---|---|---|---|---|
| Any prompt length | Input | $0.75 | $0.30 | GLM 4.6V is 60% cheaper |
| Any prompt length | Cached input | $0.075 | $0.05 | GLM 4.6V is 33% cheaper |
| Any prompt length | Output | $4.50 | $0.90 | GLM 4.6V is 80% cheaper |
Blended: GPT-5.4 Mini $1.6875, GLM 4.6V $0.45 per 1M โ one rate at 3:1 input to output, for comparing two models at a glance.
GPT-5.4 Mini priced by OpenAI, GLM 4.6V by Z.ai. Standard tier, pay-as-you-go.
Other pricing tiers
Only GPT-5.4 Mini lists Batch and Flex, at up to 50% off its own standard rate; GLM 4.6V offers none of them.
Every tier either model sells is here, so this is the whole price sheet. A saving is measured against that model's own standard rate โ how we read tiers.
| Tier | GPT-5.4 Mini | GLM 4.6V | Cheaper |
|---|---|---|---|
| Batch only on GPT-5.4 Mini | $0.375 in / $2.25 out 50% off Standard | Not offered | — |
| Flex only on GPT-5.4 Mini | $0.375 in / $2.25 out 50% off Standard | Not offered | — |
Benchmarks
They share 10 figures: GPT-5.4 Mini leads on 9, GLM 4.6V on 1. The widest gap is 51.7 points, on support-agent performance (ฯยฒ-Bench Telecom).
Overall intelligence
Intelligence Index โ Overall intelligence across reasoning, knowledge & math evals
GPT-5.4 Mini ahead by 12.9
Graduate-level science
GPQA Diamond โ Graduate-level questions in biology, chemistry & physics
GPT-5.4 Mini ahead by 15.6
Expert-exam performance
Humanity's Last Exam โ Expert-level questions across many academic domains
GPT-5.4 Mini ahead by 18.5
Instruction following
IFBench โ Precise following of detailed instructions
GPT-5.4 Mini ahead by 43.2
Support-agent performance
ฯยฒ-Bench Telecom โ Tool-using agent tasks in a telecom support setting
GPT-5.4 Mini ahead by 51.7
Long-context reasoning
AA-LCR โ Long-context reasoning across large inputs
GPT-5.4 Mini ahead by 28.3
Command-line work
Terminal-Bench Hard โ Complex command-line and terminal workflows
GPT-5.4 Mini ahead by 37.9
Physics research reasoning
CritPt โ Unpublished physics research reasoning problems
GPT-5.4 Mini ahead by 10
Factual accuracy
Omniscience Accuracy โ Breadth of factual knowledge across domains
GPT-5.4 Mini ahead by 20.1
Answer reliability
Omniscience Non-Hallucination โ How reliably the model avoids fabricated answers
GLM 4.6V ahead by 38.3
Each figure is that model's best published run, with the effort level named beside it โ where these scores come from.
Specifications
GPT-5.4 Mini holds 272,000 more input tokens in one request. GLM 4.6V also takes video.
| Specification | GPT-5.4 Mini | GLM 4.6V |
|---|---|---|
| Context window | 400,000 tokens | 128,000 tokens |
| Max output | 128,000 tokens | 32,768 tokens |
| Takes in | Text, image, file | Text, image, video, file |
| Puts out | Text | Text |
| Knowledge cutoff | 31 Aug 2025 | โ |
| Released | 17 Mar 2026 | 8 Dec 2025 |
| Status | Active | Active |
| Sold by | OpenAI | Z.ai |
FAQs
- Is GPT-5.4 Mini cheaper than GLM 4.6V?
- No โ the other way round. A 1,000-token prompt with a 500-token reply costs $0.0030 on GPT-5.4 Mini and $0.0008 on GLM 4.6V, and the same model is cheaper on every workload on this page.
- How much do GPT-5.4 Mini and GLM 4.6V cost per 1M tokens?
- GPT-5.4 Mini costs $0.75 for input and $4.50 for output. GLM 4.6V costs $0.30 and $0.90. Standard pay-as-you-go rates, as of 8 Dec 2025.
- Which is better, GPT-5.4 Mini or GLM 4.6V?
- On published benchmarks, GPT-5.4 Mini. It leads on 9 of the 10 figures both models report, including overall intelligence (Intelligence Index), where it scores 24.1 against 11.2.
- Does GPT-5.4 Mini or GLM 4.6V offer batch pricing?
- GPT-5.4 Mini only. Its batch input costs $0.375, 50% off its standard rate, and GLM 4.6V lists no batch tier at all.
- Does GPT-5.4 Mini or GLM 4.6V have a bigger context window?
- GPT-5.4 Mini, at 400,000 tokens against 128,000. That is 272,000 more input tokens in a single request.