99MODELS

GPT 5.6 Terra

New

Balanced GPT-5.6 tier between Sol and Luna for everyday work.

Released Jul 9, 2026

1,267.20

per 10 lakh output tokens

Input: ₹211.20 per 10 lakh tokens

Billed at provider rates converted at ₹96 per US dollar, with 0% markup.

Specifications

Context window
10,50,000 tokens
Max output
1,28,000 tokens
Accepts
Text, Images, PDF files
Reasoning
On by default
Effort levels
none, low, medium, high, xhigh, max
Tool use
Yes
Structured output
Yes
Code execution
No
Knowledge cutoff
2026-02-16
Intelligence rank
#15 of 54
Value rank
#23 of 54

Pricing

Pricing
Per 10 lakh tokensINRUSD
Input211.20$2.20
Output1,267.20$13.20
Cached input21.12$0.22

Benchmarks

Scores are percentages unless marked as a rating. All benchmarks are measured independently.

  • 92.5%

    GPQA Diamond

    GPQA Diamond - graduate-level science Q&A

  • 42.9%

    HLE

    Humanity's Last Exam

  • 55.0%

    SciCode

    SciCode - scientific code generation

  • 71.2%

    IFBench

    IFBench - precise instruction following

  • 83.0%

    Long Context

    Long Context Reasoning - reasoning over long inputs

  • 57.6%

    Terminal-Bench Hard

    Terminal-Bench Hard - agentic terminal tasks

  • 88.0%

    Terminal-Bench 2

    Terminal-Bench 2.1 - agentic terminal tasks, second edition

  • 41.3%

    FrontierCode

    FrontierCode - long-horizon production coding tasks

  • 83.9%

    ARC-AGI-2

    ARC-AGI-2 - abstract reasoning on novel puzzles

  • 1520

    WebDev Arena

    WebDev Arena - head-to-head web-app builds, Elo rating

About GPT 5.6 Terra

The GPT-5.6 model that balances intelligence against cost, sitting between the flagship Sol and the cost-efficient Luna and corresponding to the mini tier of earlier generations. OpenAI positions it as a lower-cost option whose performance is competitive with GPT-5.5. It suits everyday coding, reasoning and agentic work where Sol is more model than the task needs.

Terra is the middle tier, and OpenAI describes it in one line: a lower-cost model whose performance is competitive with GPT-5.5, the previous frontier generation. That is the whole proposition. Anything last year's flagship could do, Terra is meant to do for a fraction of the money, which makes it the default for everyday coding, analysis and agent work where Sol is more model than the task needs. Three weeks after launch the lab cut its price by a further 20%, to two dollars per million input tokens and twelve per million output.

The lab's own tables put Terra ahead of GPT-5.5 on most of what it measured: 50.4% against 46.9% on Agents' Last Exam, 63.4% against 59.4% on SWE-Bench Pro, 87.4% against 85.6% on Terminal-Bench 2.1, and 50.2% against 47.5% on OSWorld 2.0. On the coding-agent index OpenAI cites, it reports Terra landing just above the strongest competing model, and says the family reaches those results in roughly a third of the time, with about half as many output tokens, and at approximately a quarter of the estimated cost.

Long context is where Terra separates itself from the cheaper tier rather than from the expensive one. On the lab's multi-round retrieval evaluation it reports 89.6% at 256K to 512K tokens and 72.5% at 512K to 1M - within a couple of points of Sol, and roughly double what Luna manages at the same depths. If your work involves feeding a whole repository, a long filing or a stack of documents into the window, Terra is the cheapest tier that actually holds it.

The gaps to Sol are real and worth knowing before you commit. On the hardest mathematics tier OpenAI reports 68.3% against Sol's 83%, and below GPT-5.5's 72.5%. On its genomics evaluation Terra scores 23.3% against Sol's 28.7%, and across cybersecurity the spread is wider still - 52.9% against 73.5% on ExploitBench. Terra is the tier for volume and for ordinary difficulty; the moment a task is genuinely at the frontier of maths, biology or security research, the lab's own numbers say to escalate.

What OpenAI announced at launch

Last year at a fraction
OpenAI positions Terra as a lower-cost model with performance competitive with GPT-5.5, the previous frontier generation, and cut its price a further 20% three weeks after launch.
Ahead of the old flagship
The lab reports Terra above GPT-5.5 on Agents' Last Exam (50.4% to 46.9%), SWE-Bench Pro (63.4% to 59.4%), Terminal-Bench 2.1 (87.4% to 85.6%) and OSWorld 2.0 (50.2% to 47.5%).
Long context holds
On multi-round retrieval OpenAI reports 89.6% between 256K and 512K tokens and 72.5% between 512K and 1M - close to the flagship, and about double what the cheapest tier manages at the same depths.
Cheaper per finished task
OpenAI says the smaller tiers reach their results in roughly a third of the time, with about half as many output tokens, and at approximately a quarter of the estimated cost per task.
Where the gap shows
On the hardest mathematics tier the lab reports 68.3% against Sol's 83%, on genomics 23.3% against 28.7%, and on ExploitBench 52.9% against 73.5%. Frontier-difficulty research is where Terra stops.

Indian languages

GPT 5.6 Terra answers in 15 Indian languages. Choose a language from the menu beside the message box to receive replies in it.

Frequently Asked Questions

Frequently asked questions about GPT 5.6 Terra.

When was GPT 5.6 Terra released?

OpenAI released GPT 5.6 Terra on Jul 9, 2026.

Who built GPT 5.6 Terra?

GPT 5.6 Terra is developed by OpenAI. 99Models AI connects directly to it at the provider's published rate.

How intelligent is GPT 5.6 Terra?

It is ranked 15 of 54 chat models on intelligence, ordered by independent benchmark scores. View its complete scores in the Benchmarks table above.

How much does GPT 5.6 Terra cost?

Usage costs ₹211.20 per million input tokens and ₹1,267.20 per million output tokens, with 0% markup. There is no subscription; you pay only for what you use.

What is GPT 5.6 Terra pricing in US dollars?

The provider charges $2.20 per million input tokens and $13.20 per million output tokens. Rupee rates are converted at ₹96 per US dollar.

How long a conversation can GPT 5.6 Terra hold?

Its context window is 10.5 lakh tokens. That is the total volume of text and attached files it can process in a single request.

How does GPT 5.6 Terra rank for value?

It ranks 23 out of 54 models for value. This ranking weighs benchmark intelligence against the actual token cost.

Does GPT 5.6 Terra support reasoning?

On by default. Where reasoning is supported, you can adjust the thinking effort level directly in the message composer.

Which Indian languages does GPT 5.6 Terra support?

It answers in 15 Indian languages. Select your preferred language from the menu beside the message box to receive replies in it.

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Catalog updated Sep 9, 2026