| Signal | GPT-4.1 Nano | Delta | Perceptron Mk1 |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 44 | +44 | |
Pricing | 100 | +1 | |
Context window size | 96 | +24 | |
Recency | 61 | -39 | |
Output Capacity | 75 | +10 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
42.1
current score
GPT-4.1 Nano
right now
40
current score
OpenAI
perceptron
GPT-4.1 Nano saves you $60.00/month
That's $720.00/year compared to Perceptron Mk1 at your current usage level of 100K calls/month.
| Metric | GPT-4.1 Nano | Perceptron Mk1 | Winner |
|---|---|---|---|
| Overall Score | 42 | 40 | GPT-4.1 Nano |
| Rank | #181 | #183 | GPT-4.1 Nano |
| Quality Rank | #181 | #183 | GPT-4.1 Nano |
| Adoption Rank | #181 | #183 | GPT-4.1 Nano |
| Parameters | -- | -- | -- |
| Context Window | 1048K | 33K | GPT-4.1 Nano |
| Pricing | $0.10/$0.40/M | $0.15/$1.50/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | GPT-4.1 Nano |
| Benchmarks | 44 | -- | GPT-4.1 Nano |
| Pricing | 100 | 99 | GPT-4.1 Nano |
| Context window size | 96 | 72 | GPT-4.1 Nano |
| Recency | 61 | 100 | Perceptron Mk1 |
| Output Capacity | 75 | 65 | GPT-4.1 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 42/100 (rank #181), placing it in the top 38% of all 290 models tracked.
Scores 40/100 (rank #183), placing it in the top 37% of all 290 models tracked.
With only a 2-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
GPT-4.1 Nano offers 70% better value per quality point. At 1M tokens/day, you'd spend $7.50/month with GPT-4.1 Nano vs $24.75/month with Perceptron Mk1 - a $17.25 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. GPT-4.1 Nano also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (42/100) 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-4.1 Nano and Perceptron Mk1 are extremely close in overall performance (only 2.1000000000000014 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4.1 Nano
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4.1 Nano
70% lower pricing; better value at scale
Best for Reliability
GPT-4.1 Nano
Higher uptime and faster response speeds
Best for Prototyping
GPT-4.1 Nano
Stronger community support and better developer experience
Best for Production
GPT-4.1 Nano
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4.1 Nano | Perceptron Mk1 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
perceptron
GPT-4.1 Nano saves you $1.41/month
That's 68% cheaper than Perceptron Mk1 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-4.1 Nano | Perceptron Mk1 |
|---|---|---|
| Context Window | 1.0M | 33K |
| Max Output Tokens | 32,768 | 8,192 |
| Open Source | No | No |
| Created | Apr 14, 2025 | May 12, 2026 |