| Signal | GPT-5.4 Nano | Delta | GLM 4.6V |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 90 | +27 | |
Pricing | 99 | 0 | |
Context window size | 89 | +8 | |
Recency | 100 | -- | |
Output Capacity | 85 | +12 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
79.3
current score
GPT-5.4 Nano
right now
64.8
current score
OpenAI
Zhipu AI
GLM 4.6V saves you $7.50/month
That's $90.00/year compared to GPT-5.4 Nano at your current usage level of 100K calls/month.
| Metric | GPT-5.4 Nano | GLM 4.6V | Winner |
|---|---|---|---|
| Overall Score | 79 | 65 | GPT-5.4 Nano |
| Rank | #45 | #128 | GPT-5.4 Nano |
| Quality Rank | #45 | #128 | GPT-5.4 Nano |
| Adoption Rank | #45 | #128 | GPT-5.4 Nano |
| Parameters | -- | -- | -- |
| Context Window | 400K | 131K | GPT-5.4 Nano |
| Pricing | $0.20/$1.25/M | $0.30/$0.90/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-5.4 Nano |
| Benchmarks | 90 | 64 | GPT-5.4 Nano |
| Pricing | 99 | 99 | GLM 4.6V |
| Context window size | 89 | 81 | GPT-5.4 Nano |
| Recency | 100 | 100 | GPT-5.4 Nano |
| Output Capacity | 85 | 73 | GPT-5.4 Nano |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 79/100 (rank #45), placing it in the top 85% of all 290 models tracked.
Scores 65/100 (rank #128), placing it in the top 56% of all 290 models tracked.
GPT-5.4 Nano has a 15-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
GPT-5.4 Nano offers 17% better value per quality point. At 1M tokens/day, you'd spend $18.00/month with GLM 4.6V vs $21.75/month with GPT-5.4 Nano - a $3.75 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. GLM 4.6V also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.90/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (79/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-5.4 Nano clearly outperforms GLM 4.6V with a significant 14.5-point lead. For most general use cases, GPT-5.4 Nano is the stronger choice. However, GLM 4.6V may still excel in niche scenarios.
Best for Quality
GPT-5.4 Nano
Marginally better benchmark scores; both are excellent
Best for Cost
GLM 4.6V
17% lower pricing; better value at scale
Best for Reliability
GPT-5.4 Nano
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.4 Nano
Stronger community support and better developer experience
Best for Production
GPT-5.4 Nano
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.4 Nano | GLM 4.6V |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Zhipu AI
GLM 4.6V saves you $0.2400/month
That's 13% cheaper than GPT-5.4 Nano at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-5.4 Nano | GLM 4.6V |
|---|---|---|
| Context Window | 400K | 131K |
| Max Output Tokens | 128,000 | 24,000 |
| Open Source | No | Yes |
| Created | Mar 17, 2026 | Dec 8, 2025 |