Cost and performance comparison
GPT-5.6 Terra vs GPT-6.1 Terra
Model AOpenAI
GPT-5.6 Terra
- 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 November 9, 2026.
Check the sourceModel BOpenAI
GPT-6.1 Terra
- Cost / 1M Tokens
- $2.20
- 70% in · 30% out mix
- Value Index (score÷cost)
- 43.2
- Higher = better value
- Speed
- 90/100
- Context
- 1.1M
- Tier
- Smart Tier
List price from the OpenAI pricing page, verified November 9, 2026.
Check the sourceIn-depth analysis
GPT-5.6 Terra vs GPT-6.1 Terra: 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-6.1 Terra from OpenAI is a mid-range-tier model supporting 1.1M tokens in context, with standout performance in reasoning.
GPT-6.1 Terra is both the cheaper and the stronger model here — for the same text it costs 56% less than GPT-5.6 Terra and still leads on combined coding and reasoning by 2 points. There is no tradeoff to weigh on this pair: unless you need something specific from GPT-5.6 Terra, the cheaper model is simply the better one. GPT-5.6 Terra is priced at $2.00/M input tokens and $12.00/M output tokens. GPT-6.1 Terra costs $1.00/M input and $5.00/M output.
On iOPTERA's editorial scores, GPT-6.1 Terra leads with 94/100 for coding and 95/100 for reasoning, against GPT-5.6 Terra's 93/100 and 94/100.
Capability breakdown
Across the five core benchmark categories, here is how GPT-5.6 Terra and GPT-6.1 Terra stack up head to head:
Best model by task
- coding: GPT-6.1 Terra wins with 94/100
- reasoning: GPT-6.1 Terra wins with 95/100
- data extraction: GPT-6.1 Terra wins with 94/100
- creative tasks: GPT-6.1 Terra wins with 93/100
- vision/multimodal: GPT-6.1 Terra wins with 94/100
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-6.1 Terra runs about $20.00 — GPT-6.1 Terra saves roughly $24.00 (55%) 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, 3 months apart — so this is an upgrade question, not a choice between alternatives. GPT-6.1 Terra is the current entry; GPT-5.6 Terra 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 1.1M. 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 — 90/100 versus 86/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.
GPT-6.1 Terra wins this comparison outright — cheaper and stronger. Choose GPT-5.6 Terra only if it has a specific capability you need; on price and benchmarks it is behind on both.
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 term | GPT-5.6 Terra | GPT-6.1 Terra |
|---|---|---|
| List price (input / output) | $2.00 / $12.00 | $1.00 / $5.00 |
| Cached input | $0.2010% of the input price | $0.055% 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 | Over 272K tokens: $2.00 / $7.50 |
| Input with 80% cache hits | $0.56 | $0.24 |
With 80% of input served from the cache, GPT-6.1 Terra costs 57% less than GPT-5.6 Terra 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
Coding
Reasoning
Extraction
Creative
Vision
Speed Score
Context Window
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!"
- GPT-5.6 Terra
- $0.80
- GPT-6.1 Terra
- $0.40
Business email
One typical email (~200 words)
- GPT-5.6 Terra
- $54.00
- GPT-6.1 Terra
- $27.00
Code file
50-line Python script
- GPT-5.6 Terra
- $80.00
- GPT-6.1 Terra
- $40.00
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-6.1 Terra, 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_tokensEvery 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
GPT-5.6 Terra
$150.00/mo
$1,800.00/yr
GPT-6.1 Terra
$66.00/mo
$792.00/yr
Annual Savings
$1,008.00 saved per year
GPT-6.1 Terra cheaper · $84.00/mo
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