Which is more cost-effective, GPT-5.6 Terra or GPT-4.1?

Based on 1M input + 1M output tokens, GPT-5.6 Terra costs $14.00/month versus GPT-4.1 at $10.00/month. The cheaper option depends on your token volume and prompt-to-completion ratio. Use the interactive calculator on this page to enter your exact usage.

How accurate is this cost comparison?

List prices come from each provider's own pricing page and every model page shows when they were last verified. The capability scores are iOPTERA's editorial composites — informed by public benchmarks, not benchmark results themselves; the methodology page explains how they are set.

Which model scores higher on benchmarks?

GPT-5.6 Terra scores 93 in coding and 94 in reasoning benchmarks. GPT-4.1 scores 89 in coding and 90 in reasoning. See the full 5-category breakdown in the Benchmark Comparison section above.

What are the context window sizes of GPT-5.6 Terra and GPT-4.1?

GPT-5.6 Terra supports a 1.1M-token context window while GPT-4.1 supports 1.0M tokens. A larger context window lets you process more text in a single API call.

Which model is faster for real-time applications?

GPT-5.6 Terra has a speed score of 86/100 and GPT-4.1 scores 88/100 on our latency benchmark. For interactive chatbots and low-latency tasks, the higher speed score is preferable.

Can I calculate costs for my specific token volume?

Yes. Use the interactive cost calculator on this page. Enter your monthly token volume and adjust the prompt-to-completion ratio. You can also use presets for common scenarios like Customer Support Bots (~30M tokens/month) or Document Summarizers (~15M tokens/month).

Cost and performance comparison

GPT-5.6 Terra vs GPT-4.1

Model AOpenAI

GPT-5.6 Terra

Capability score (editorial)94/100

Cost / 1M Tokens: $5.00; 70% in · 30% out mix
Value Index (score÷cost): 18.8; Higher = better value

Speed: 86/100
Context: 1.1M
Tier: Smart Tier

List price from the OpenAI pricing page, verified October 12, 2026.

Check the source

How we verify prices

Model BOpenAI

GPT-4.1

Capability score (editorial)90/100

Cost / 1M Tokens: $3.80; 70% in · 30% out mix
Value Index (score÷cost): 23.7; Higher = better value

Speed: 88/100
Context: 1.0M
Tier: Smart Tier

List price from the OpenAI pricing page, verified October 12, 2026.

Check the source

How we verify prices

In-depth analysis

GPT-5.6 Terra vs GPT-4.1: Detailed Comparison

GPT-5.6 Terra is OpenAI's mid-range-tier language model with a 1.1M-token context window, excelling at reasoning. GPT-4.1 from OpenAI is a mid-range-tier model supporting 1.0M tokens in context, with standout performance in data extraction.

This is a genuine tradeoff rather than a clear win. GPT-5.6 Terra leads by 8 points on combined coding and reasoning, and costs 24% more for the same text to do it. The margin is narrow enough that the answer depends on your workload: on tasks where the extra capability shows up, the premium pays for itself; on routine work it does not. GPT-5.6 Terra is priced at $2.00/M input tokens and $12.00/M output tokens. GPT-4.1 costs $2.00/M input and $8.00/M output.

On iOPTERA's editorial scores, GPT-5.6 Terra leads with 93/100 for coding and 94/100 for reasoning, against GPT-4.1's 89/100 and 90/100.

Capability breakdown

Across the five core benchmark categories, here is how GPT-5.6 Terra and GPT-4.1 stack up head to head:

coding

GPT-5.6 Terra leads

reasoning

GPT-5.6 Terra leads

data extraction

GPT-5.6 Terra leads

creative tasks

GPT-5.6 Terra leads

vision/multimodal

GPT-5.6 Terra leads

Best model by task

coding: GPT-5.6 Terra wins with 93/100
reasoning: GPT-5.6 Terra wins with 94/100
data extraction: GPT-5.6 Terra wins with 93/100
creative tasks: GPT-5.6 Terra wins with 92/100
vision/multimodal: GPT-5.6 Terra wins with 93/100

Estimated monthly cost at scale

For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), GPT-5.6 Terra runs about $44.00 while GPT-4.1 runs about $36.00 — GPT-4.1 saves roughly $8.00 (18%) every month.

What actually decides it

Both models come from OpenAI, so they share a tokenizer, an API surface, and a billing account. Switching between them is a model-string change and nothing else — no new SDK, no re-tokenizing your prompts to re-estimate cost, no second vendor to onboard. That makes routing between them far cheaper to implement than a cross-vendor split.

These are the same lab's model at the same tier, 15 months apart — so this is an upgrade question, not a choice between alternatives. GPT-5.6 Terra is the current entry; GPT-4.1 is here because plenty of production traffic still runs on it. If you are starting something new there is little reason to pick the older one, and if you are already on it the question is whether the migration cost is worth the gain.

Context is effectively a tie: 1.1M against 1.0M. Neither model unlocks a document size the other cannot handle, so this axis should not enter the decision. If you were hoping context would break the tie for you, it will not.

Throughput is close enough to ignore — 88/100 versus 86/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.

Neither model is the obvious answer. GPT-5.6 Terra leads on benchmarks, GPT-4.1 on cost, and the gap is small on both. Run the calculator above with your real token mix — for most workloads that decides it faster than any benchmark table will.

What you actually pay

The list price is only the start. Prompt caching, batch processing and long prompts change the bill, and each provider sets them differently. Prices per 1M tokens.

Pricing terms beyond the list price, per 1M tokens
Pricing term	GPT-5.6 Terra	GPT-4.1
List price (input / output)	$2.00 / $12.00	$2.00 / $8.00
Cached input	$0.2010% of the input price	$0.5025% of the input price
Batch API	50% off input and output	50% off input and output
Long prompts	Over 272K tokens: $4.00 / $18.00	No surcharge across the 1.05M window
Input with 80% cache hits	$0.56	$0.80

With 80% of input served from the cache, GPT-5.6 Terra costs 30% less than GPT-4.1 for the same input text, counting each model's tokenizer.

The last row assumes 80% of input tokens are read from the cache, as in a chat app that re-sends a long system prompt or RAG over the same documents. Cache-write and storage charges are not included.

Checked on October 8, 2026 against the pricing pages of OpenAI.

Capability scores

iOPTERA editorial scores across 5 categories — informed by public benchmarks, not measured by us

CategoryGPT-5.6 TerraGPT-4.1Winner

Coding

Reasoning

Extraction

Creative

Vision

GPT-5.6 Terra: 5 wins

GPT-4.1: 0 wins

GPT-5.6 Terra leads overall

Speed Score

86/100vs88/100

GPT-5.6GPT-4.1

Context Window

1050Kvs1048K

GPT-5.6GPT-4.1

What Is a Token?

Models don't read words — they process tokens.

A token is roughly 4 characters of English text (~¾ of a word). Your API bill is priced per million tokens — understanding this directly reduces your costs.

Short phrase

"Hello, world!"

4 tokens

GPT-5.6 Terra: $0.80
GPT-4.1: $0.80

Business email

One typical email (~200 words)

~270 tokens

GPT-5.6 Terra: $54.00
GPT-4.1: $54.00

Code file

50-line Python script

~400 tokens

GPT-5.6 Terra: $80.00
GPT-4.1: $80.00

Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both GPT-5.6 Terra and GPT-4.1, so the number only becomes meaningful at production volume. Input tokens only; add your output volume in the calculator below.

How to check your token usage

response.usage.total_tokens

Every API response includes a usage object. Sum total_tokens across all calls to get your monthly figure, then use the calculator below.

Your Cost Calculator

Enter your actual monthly token usage to see real savings

Quick Presets

Monthly Token Volume

30M tokens

Prompt / Completion Split

Prompt 70%Completion 30%

GPT-5.6 Terra

$150.00/mo

$1,800.00/yr

$2.00/M input$12.00/M output

Cheaper

GPT-4.1

$114.00/mo

$1,368.00/yr

$2.00/M input$8.00/M output

Annual Savings

$432.00 saved per year

GPT-4.1 cheaper · $36.00/mo

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