Intelligence index
Outperforms 20% of compared models
GPT-4.1 Nano
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million token context window, and scores 80.1% on MMLU, 50.3% on GPQA, and 9.8% on Aider polyglot coding – even higher than GPT‑4o mini. It’s ideal for tasks like classification or autocompletion.
- Input / output price
- $0.1/$0.4per 1M tokens
- Context
- 1.0M
- Released
- 2025-04-14
Pricing
Artificial Analysis
Explore rankingsCoding index
Outperforms 9% of compared models
Design Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
3D
922Elo
Win rate 46%
Game Development
969Elo
Win rate 49.6%
UI Component
911Elo
Win rate 43.9%
Data Visualization
891Elo
Win rate 41.1%
Code Categories
961Elo
Win rate 47.3%
Website
971Elo
Win rate 48.1%
Related Models
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- Context
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- Max output
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- Released
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- Input
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- Output
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- Cache read
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GPT-6.1 Sol
openaiGPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.
- Context
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- Max output
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- Released
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- Input
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- Output
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- Cache read
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GPT-6.1 Terra
openaiGPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.
- Context
- 1.1M
- Max output
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- Released
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- Input
- $1/M
- Output
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- Cache read
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