GPT-4.1 vs GPT-5.6 Terra — Side-by-side pricing
Side-by-side API pricing and tokenizer details for GPT-4.1 (OpenAI) and GPT-5.6 Terra (OpenAI).
Side-by-side pricing
| Feature | GPT-4.1 | GPT-5.6 Terra |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input (per 1M tokens) | $2.00 | $2.50 |
| Output (per 1M tokens) | $8.00 | $15.00 |
| Long-context pricing | Flat rate at any prompt size | Over 272K tokens: $5.00 in / $22.50 out |
| Context caching | No | Yes — 90% off cached tokens |
| Batch API discount | 50% off | 50% off |
| Context window | 1M tokens | 1.1M tokens |
| Tokenizer | o200k_base (tiktoken) | o200k_base (tiktoken) |
ⓘ GPT-4.1: No longer listed on OpenAI's pricing page. Price could not be re-verified from a vendor source; treat as indicative.
Real-world cost example
1,000 API requests per month, each with 500 input tokens and 200 output tokens (500K input + 200K output total).
GPT-4.1
$2.6000
Input: $1.0000 +Output: $1.6000
GPT-5.6 Terra
$4.2500
Input: $1.2500 +Output: $3.0000
GPT-4.1 is 39% cheaper for this workload — saving $1.6500 per month at this volume.
Frequently asked questions
Yes, GPT-4.1 is cheaper for the typical workload above. At $2.00/1M input and $8.00/1M output tokens, it costs $2.6000 versus $4.2500 for GPT-5.6 Terra — a 39% difference. Note that GPT-5.6 Terra switches to long-context pricing above 272K prompt tokens, so for very long prompts this gap does not scale linearly.
GPT-4.1 supports a 1M token context window. GPT-5.6 Terra supports a 1.1M token context window. A larger context window lets you include more text — documents, conversation history, or code — in a single API call.
GPT-4.1 does not support context caching. It offers a 50% Batch API discount. GPT-5.6 Terra supports context caching (90% off repeated tokens). It offers a 50% Batch API discount.
Yes, both GPT-4.1 and GPT-5.6 Terra use the o200k_base (tiktoken). The same text produces identical token counts on both models, so any cost difference is purely due to the rate each provider charges per token.
GPT-4.1 (OpenAI): $2 input / $8 output per 1M tokens. GPT-5.6 Terra (OpenAI): $2.5 input / $15 output per 1M tokens. Rates shown before caching or batch discounts.
For an 80% output / 20% input workload — typical for code generation or long-form writing — GPT-4.1 costs $6.8000 per 1M total tokens and GPT-5.6 Terra costs $12.5000. GPT-4.1 is 46% cheaper for this pattern. For your exact ratio, paste a real prompt into the calculator above.
GPT-4.1 has a 1M-token context window — approximately 750K words or ~3K pages of standard text. GPT-5.6 Terra has a 1.1M-token context window — approximately 788K words or ~3K pages. (Estimates assume ~0.75 words per token.)
Calculate costs for your actual prompt
Paste your prompt into the calculator and get exact token counts using each model's real tokenizer — all in your browser.
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