GPT-4.1 Nano
Ultra-low-cost GPT-4.1 tier for classification and extraction.
Pricing
Specifications
Benchmark Scores
Strengths
- Lowest OpenAI cost
- 1M context
Weaknesses
- Limited on complex generation
Historical Intelligence
Pricing, context, and benchmark trends over time
Pricing History
Input and output price per million tokens over time
Context Window Growth
Context window tokens over time
Coding Score Progress
Benchmark score over time (0–100)
Reasoning Score Progress
Benchmark score over time (0–100)
GPT-4.1 Nano Evolution
Combined pricing trend and benchmark performance
GPT-4.1 Nano vs related models
Capability radar vs semantically related catalog models
Intelligence Graph
Provider hub →Provider Overview
OpenAI is the leading AI research lab behind GPT, o-series reasoning models, and ChatGPT. Their API platform powers millions of applications worldwide with industry-leading multimodal capabilities.
11 models tracked · Documentation
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Confidence96%Gemini 2.0 Flash Lite
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Why: similar coding performance, similar reasoning scores
Confidence92%GPT-4.1 Mini
Mini variant of GPT-4.1 for scalable deployments.
Why: same provider (OpenAI), both vision-capable
Confidence91%GPT-5 Mini
Cost-efficient GPT-5 family model for high-volume production.
Why: same provider (OpenAI), both vision-capable
Confidence90%Claude 3.5 Haiku
Fast and affordable Claude for high-throughput workloads.
Why: similar coding performance, both vision-capable
Confidence89%Claude 4 Haiku
Next-gen Haiku with Claude 4 intelligence at low cost.
Why: both vision-capable
Confidence88%
Recommended Comparisons
Side-by-side analysis with semantically similar models
GPT-4.1 Nano vs GPT-4o Mini
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (OpenAI), both vision-capable
Confidence96%GPT-4.1 Nano vs Gemini 2.0 Flash Lite
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, similar reasoning scores
Confidence92%GPT-4.1 Nano vs GPT-4.1 Mini
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (OpenAI), both vision-capable
Confidence91%GPT-4.1 Nano vs GPT-5 Mini
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (OpenAI), both vision-capable
Confidence90%GPT-4.1 Nano vs Claude 3.5 Haiku
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, both vision-capable
Confidence89%GPT-4.1 Nano vs Claude 4 Haiku
Side-by-side pricing, benchmarks, and capabilities
Why: both vision-capable
Confidence88%
Best Alternatives
Higher-scoring models with similar capability profiles
Claude 4 Opus
Anthropic flagship for the most demanding tasks.
Why: +26 overall benchmark score, both vision-capable
Confidence63%GPT-5
OpenAI flagship GPT-5 generation for general and agentic workloads.
Why: +25 overall benchmark score, same provider (OpenAI), both vision-capable
Confidence77%Claude Opus 4.1
Anthropic's latest Opus-class model for deep reasoning, coding, and long-form analysis.
Why: +25 overall benchmark score, both vision-capable
Confidence61%Claude 4 Sonnet
Latest Sonnet with improved reasoning and tool use.
Why: +24 overall benchmark score, both vision-capable
Confidence79%
Cheaper Alternatives
Lower-cost models with comparable attributes
Gemini 2.0 Flash Lite
Ultra-cheap Gemini for simple tasks at scale.
Why: Saves $0.13/M combined tokens vs GPT-4.1 Nano
Confidence92%Mistral Small
Compact Mistral for cost-sensitive applications.
Why: Saves $0.10/M combined tokens vs GPT-4.1 Nano
Confidence83%Ministral 8B
Tiny on-device capable Mistral for edge deployments.
Why: Saves $0.30/M combined tokens vs GPT-4.1 Nano
Confidence83%DeepSeek Coder V2
Code-specialized DeepSeek for programming tasks.
Why: Saves $0.08/M combined tokens vs GPT-4.1 Nano
Confidence81%
Related Calculators
AI Cost Calculator
Estimate daily, monthly, and yearly API costs with provider and model selection.
Why: Estimate costs for GPT-4.1 Nano
Context Window Utilization
Calculate how much of a model's context window you're consuming.
Why: 1048K context window analysis
Inference Latency Estimator
Project response times based on output tokens and throughput.
Why: fast latency tier estimation
Token Counter
Convert between words and estimated token counts.
Why: Token estimation for prompt workloads
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Prompt Optimizer
Optimize prompts for cost and quality
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Subscription Optimizer
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Why: Relevant for GPT-4.1 Nano workloads
Timeline Highlights
GPT-4.1 Nano — Model Release
Why: Direct model timeline event
GPT-4.1 Nano — API Release
Why: Direct model timeline event
GPT-4.1 Nano — Pricing Update
Why: Direct model timeline event
GPT-4.1 Nano — Context Window Increase
Why: Direct model timeline event
GPT-4.1 Nano — Vision Support
Why: Direct model timeline event
Latest Releases
Recent launches from related providers