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Cost and performance comparison

GPT-5.6 Sol vs GPT-5.6 Terra

Model AOpenAI

GPT-5.6 Sol

Capability score (editorial)99/100
Cost / 1M Tokens
$8.80
70% in · 30% out mix
Value Index (score÷cost)
11.2
Higher = better value
Speed
70/100
Context
1.1M
Tier
Power Tier

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

Promotional price, guaranteed until at least November 21, 2026. Regular price: $5.00 / $30.00.

Check the source

How we verify prices

Model BOpenAI

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

In-depth analysis

GPT-5.6 Sol vs GPT-5.6 Terra: Detailed Comparison

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

This is a genuine tradeoff rather than a clear win. GPT-5.6 Sol leads by 9 points on combined coding and reasoning, and costs 43% 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 Sol is priced at $4.00/M input tokens and $20.00/M output tokens. GPT-5.6 Terra costs $2.00/M input and $12.00/M output.

On iOPTERA's editorial scores, GPT-5.6 Sol leads with 97/100 for coding and 99/100 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 Sol and GPT-5.6 Terra stack up head to head:

coding
97
93
reasoning
99
94
data extraction
95
93
creative tasks
96
92
vision/multimodal
96
93

Best model by task

  • coding: GPT-5.6 Sol wins with 97/100
  • reasoning: GPT-5.6 Sol wins with 99/100
  • data extraction: GPT-5.6 Sol wins with 95/100
  • creative tasks: GPT-5.6 Sol wins with 96/100
  • vision/multimodal: GPT-5.6 Sol wins with 96/100

Estimated monthly cost at scale

For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), GPT-5.6 Sol runs about $80.00 while GPT-5.6 Terra runs about $44.00 — GPT-5.6 Terra saves roughly $36.00 (45%) 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.

GPT-5.6 Sol and GPT-5.6 Terra were released within 0 months of each other, so they are competing on the same evaluations under roughly the same conditions. That makes a direct benchmark comparison meaningful here in a way it usually is not — neither model has the advantage of being measured on a newer, easier set of tests.

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.

Latency separates them: GPT-5.6 Terra scores 86/100 against 70/100 for GPT-5.6 Sol, a 16-point gap. That matters for anything a person waits on — chat, autocomplete, interactive tools. For batch and background work it does not, and trading latency for capability there is usually the right call.

Neither model is the obvious answer. GPT-5.6 Sol leads on benchmarks, GPT-5.6 Terra 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 termGPT-5.6 SolGPT-5.6 Terra
List price (input / output)$4.00 / $20.00$2.00 / $12.00
Cached input$0.4010% of the input price$0.2010% of the input price
Batch API50% off input and output50% off input and output
Long promptsOver 272K tokens: $8.00 / $30.00Over 272K tokens: $4.00 / $18.00
Input with 80% cache hits$1.12$0.56

With 80% of input served from the cache, GPT-5.6 Terra costs 50% less than GPT-5.6 Sol 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 SolGPT-5.6 TerraWinner

Coding

97
93
A

Reasoning

99
94
A

Extraction

95
93
A

Creative

96
92
A

Vision

96
93
A
GPT-5.6 Sol: 5 wins
GPT-5.6 Terra: 0 wins
GPT-5.6 Sol leads overall

Speed Score

70/100vs86/100
GPT-5.6GPT-5.6

Context Window

1050Kvs1050K
GPT-5.6GPT-5.6

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 Sol
$1.60
GPT-5.6 Terra
$0.80

Business email

One typical email (~200 words)

~270 tokens
GPT-5.6 Sol
$108.00
GPT-5.6 Terra
$54.00

Code file

50-line Python script

~400 tokens
GPT-5.6 Sol
$160.00
GPT-5.6 Terra
$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 Sol and GPT-5.6 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_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

30M tokens
Prompt 70%Completion 30%

GPT-5.6 Sol

$264.00/mo

$3,168.00/yr

$4.00/M input$20.00/M output
Cheaper

GPT-5.6 Terra

$150.00/mo

$1,800.00/yr

$2.00/M input$12.00/M output

Annual Savings

$1,368.00 saved per year

GPT-5.6 Terra cheaper · $114.00/mo

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