Analysis Summary
OpenAI's GPT-5.6 Terra is a capable multimodal model with strong reasoning and coding performance. It provides a one-million-token context window, vision, file input, tool use, and function calling, giving it a broad operating range across codebases, documents, and structured client workflows.
It suits software engineering, long-form analysis, SEO systems, agentic task execution, and customer-facing content that needs more depth than a budget model. The measured capability is below the highest frontier models, so the most complex autonomous or high-stakes reasoning tasks may still benefit from a premium tier. For many agency jobs, however, the practical feature set is well balanced.
Pricing supports regular professional use without making bulk traffic prohibitively expensive. Make Terra a strong default for mixed client workloads, reserving Sol for cases where maximum reasoning depth is essential.
Assessed August 9, 2026
Editorial notes
GPT-5.6 Terra combines strong reasoning and coding with a one-million-token context, vision, file input, and tool calling at mid-tier pricing. It is a practical flagship alternative for demanding work where Sol pricing is excessive.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5.6 Terra combines strong reasoning and coding with a one-million-token context, vision, file input, and tool calling at mid-tier pricing. It is a practical flagship alternative for demanding work where Sol pricing is excessive.
How OpenAI: GPT-5.6 Terra compares
OpenAI: GPT-5.6 Terra ranks #10 of 420 AI models we track for overall intelligence, #4 of 193 for coding, #14 of 175 for agentic tasks. Its 1.1M-token context window is larger than 98% of the models we list. At $1.00 per million input tokens it is cheaper than 28% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in value corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.00 | $0.001000 |
| Output | $6.00 | $0.006000 |
What would OpenAI: GPT-5.6 Terra cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-5.6 Terra for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-5.6 Terra
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic..
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Frequently asked questions about OpenAI: GPT-5.6 Terra
How much does OpenAI: GPT-5.6 Terra cost?
OpenAI: GPT-5.6 Terra costs $1.00 per million input tokens and $6.00 per million output tokens.
What is the context window of OpenAI: GPT-5.6 Terra?
OpenAI: GPT-5.6 Terra has a context window of 1,050,000 tokens (1.1M).
Is OpenAI: GPT-5.6 Terra good for coding?
On our coding benchmark index, OpenAI: GPT-5.6 Terra ranks #4 of 193 models, placing it in the top quartile of the field for code generation and debugging.
What can OpenAI: GPT-5.6 Terra do?
OpenAI: GPT-5.6 Terra supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5.6 Terra?
OpenAI: GPT-5.6 Terra is developed by OpenAI and was released on July 9, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 10, 2026 8:38 pm