Cheaper overall
GLM 4.6V
3% lower blended rate
Cheaper on long prompts
GPT-5.4 Nano
above 272,000 input tokens
Higher benchmark scores
GPT-5.4 Nano
leads on 10 of 10 figures
Bigger context window
GPT-5.4 Nano
400,000 vs 128,000 tokens
Cheaper cached input
GPT-5.4 Nano
$0.02 vs $0.05, 60% less
Where each one wins
GPT-5.4 Nano
- Cheaper input tokens $0.20 vs $0.30, 33% less
- Cheaper cached input $0.02 vs $0.05, 60% less
- Cheaper on long prompts above 272,000 input tokens
- Larger context window 400,000 tokens
- Longer maximum output 128,000 tokens
- Higher overall intelligence (Intelligence Index) 20.7 vs 11.2
- Higher graduate-level science (GPQA Diamond) 81.7 vs 71.9
- Higher expert-exam performance (Humanity's Last Exam) 28.3 vs 9.6
- Ahead on 7 more benchmark figures
- Offers Batch and Flex pricing not listed for GLM 4.6V
GLM 4.6V
- Cheaper output tokens $0.90 vs $1.25, 28% less
- Not scheduled for retirement GPT-5.4 Nano retires 1 Apr 2027
What four workloads cost
One run, and the same run a thousand times.
Caching is what decides it: over twenty calls GPT-5.4 Nano costs $0.0375 against $0.0546, a difference of $17.10 across a thousand loops.
| Workload | GPT-5.4 Nano | GLM 4.6V | ร1,000 | Difference |
|---|---|---|---|---|
| Chat turn 1,000 in / 500 out | $0.0008 | $0.0008 | $0.8250 / $0.7500 | GLM 4.6V is 9% cheaper |
| RAG answer 10,000 in / 800 out | $0.0030 | $0.0037 | $3.00 / $3.72 | GPT-5.4 Nano is 19% cheaper |
| Agent loop 32,000 in / 700 out ร 20 calls | $0.0375 | $0.0546 | $37.50 / $54.60 | GPT-5.4 Nano is 31% 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
Above 272,000 input tokens the rates change, and the new rate applies to the whole request, not just the tokens past that point. That is where the cheaper model changes.
| Context band | Price | GPT-5.4 Nano | GLM 4.6V | Difference |
|---|---|---|---|---|
| Prompts up to 272,000 tokens | Input | $0.20 | $0.30 | GPT-5.4 Nano is 33% cheaper |
| Prompts up to 272,000 tokens | Cached input | $0.02 | $0.05 | GPT-5.4 Nano is 60% cheaper |
| Prompts up to 272,000 tokens | Output | $1.25 | $0.90 | GLM 4.6V is 28% cheaper |
| Prompts over 272,000 tokens | Input | $0.20 | $0.30 | GPT-5.4 Nano is 33% cheaper |
| Prompts over 272,000 tokens | Cached input | $0.02 | $0.05 | GPT-5.4 Nano is 60% cheaper |
| Prompts over 272,000 tokens | Output | $1.25 | $0.90 | GLM 4.6V is 28% cheaper |
Blended: GPT-5.4 Nano $0.4625, 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 Nano priced by OpenAI, GLM 4.6V by Z.ai. Standard tier, pay-as-you-go.
Other pricing tiers
Only GPT-5.4 Nano 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 Nano | GLM 4.6V | Cheaper |
|---|---|---|---|
| Batch only on GPT-5.4 Nano | $0.10 in / $0.625 out 50% off Standard | Not offered | — |
| Flex only on GPT-5.4 Nano | $0.10 in / $0.625 out 50% off Standard | Not offered | — |
Benchmarks
GPT-5.4 Nano leads on all 10 figures, furthest ahead on instruction following (IFBench), by 45.8 points.
Overall intelligence
Intelligence Index โ Overall intelligence across reasoning, knowledge & math evals
GPT-5.4 Nano ahead by 9.5
Graduate-level science
GPQA Diamond โ Graduate-level questions in biology, chemistry & physics
GPT-5.4 Nano ahead by 9.8
Expert-exam performance
Humanity's Last Exam โ Expert-level questions across many academic domains
GPT-5.4 Nano ahead by 18.7
Instruction following
IFBench โ Precise following of detailed instructions
GPT-5.4 Nano ahead by 45.8
Support-agent performance
ฯยฒ-Bench Telecom โ Tool-using agent tasks in a telecom support setting
GPT-5.4 Nano ahead by 44.4
Long-context reasoning
AA-LCR โ Long-context reasoning across large inputs
GPT-5.4 Nano ahead by 28
Command-line work
Terminal-Bench Hard โ Complex command-line and terminal workflows
GPT-5.4 Nano ahead by 28
Physics research reasoning
CritPt โ Unpublished physics research reasoning problems
GPT-5.4 Nano ahead by 9.3
Factual accuracy
Omniscience Accuracy โ Breadth of factual knowledge across domains
GPT-5.4 Nano ahead by 8.3
Answer reliability
Omniscience Non-Hallucination โ How reliably the model avoids fabricated answers
GPT-5.4 Nano ahead by 0.4
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 Nano holds 272,000 more input tokens in one request. GLM 4.6V also takes video. GPT-5.4 Nano retires on 1 Apr 2027, so anything built on it needs a move planned.
| Specification | GPT-5.4 Nano | 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 | Legacy | Active |
| Retires | 1 Apr 2027 | โ |
| Sold by | OpenAI | Z.ai |
FAQs
- Is GPT-5.4 Nano cheaper than GLM 4.6V?
- No โ the other way round. A 1,000-token prompt with a 500-token reply costs $0.0008 on GPT-5.4 Nano and $0.0008 on GLM 4.6V.
- How much do GPT-5.4 Nano and GLM 4.6V cost per 1M tokens?
- GPT-5.4 Nano costs $0.20 for input and $1.25 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 Nano or GLM 4.6V?
- On published benchmarks, GPT-5.4 Nano. It leads on 10 of the 10 figures both models report, including overall intelligence (Intelligence Index), where it scores 20.7 against 11.2.
- Is GPT-5.4 Nano or GLM 4.6V cheaper for long prompts?
- GPT-5.4 Nano, above 272,000 input tokens. A rate that changes at a context length applies to the whole request, not only the tokens past it, so the switch is sharp rather than gradual.
- Does GPT-5.4 Nano or GLM 4.6V offer batch pricing?
- GPT-5.4 Nano only. Its batch input costs $0.10, 50% off its standard rate, and GLM 4.6V lists no batch tier at all.
- Does GPT-5.4 Nano or GLM 4.6V have a bigger context window?
- GPT-5.4 Nano, at 400,000 tokens against 128,000. That is 272,000 more input tokens in a single request.