GPT-5.6 Terra
Released
GPT-5.6 Terra is an AI model released by OpenAI on Friday, Jun 26 2026, the same day as GPT-5.6 Sol. Benchmark results (shown below) cover BullshitBench v2, Gray Swan IPI, Frontier-Bench v0.1, Terminal-Bench 4.0, Terminal-Bench 2.1, BrowseComp, and 2 more.
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API pricing
Up to 272K input tokens
- InputWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it.
- $2.00
- Cached inputA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again.
- $0.20
- Cache writeA one-off charge for storing text so later requests can reuse it at the cheaper cached rate.
- $2.50
- OutputWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one.
- $12.00
Over 272K input tokens
- InputWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it.
- $4.00
- Cached inputA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again.
- $0.40
- Cache writeA one-off charge for storing text so later requests can reuse it at the cheaper cached rate.
- $5.00
- OutputWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one.
- $18.00
- Reasoning or thinking is supported.
USD per 1M tokensEvery price here is for one million tokens. A token is roughly three-quarters of a word, so a million tokens is about 750,000 words of text.Model mappingVerified August 18, 2026Read from developers.openai.com. Click the check to open the source.
Available from
| OpenAI | — | flex | $1.00 | $6.00 | 1M |
|---|---|---|---|---|---|
| OpenAI | — | — | $2.00 | $12.00 | 1M |
| Azure | — | — | $2.00 | $12.00 | 1M |
| Azure | eu | — | $2.20 | $13.20 | 1M |
| Azure | us | — | $2.20 | $13.20 | 1M |
| Amazon Bedrock | us-east-1 | — | $2.20 | $13.20 | 1M |
| OpenAI | — | fast | $4.00 | $24.00 | 1M |
Benchmarks
Terminal & CLI
Frontier-Bench v0.1Agentic computer work — A hard, ever-evolving set of real computer tasks — coding, system administration, data work, and more — that an AI agent has to complete on its own. Run by the Harbor / Laude Institute team as the successor to Terminal-Bench (v0.1 is the first release of the task set). The score is the share of tasks solved. Higher is better.
20.8%
#5 of 9Best: Claude Opus 5 · 43.3%
Terminal-Bench 4.0Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Version 4.0 recalibrated how much time, CPU and memory each task gets, removed eight tasks and fixed nineteen, so fewer runs fail for reasons that have nothing to do with the model. Scores are not comparable with earlier versions. Higher is better.via Terminal-Bench
21.52%
#12 of 18Best: Claude Opus 5.5 · 66.4%
Terminal-Bench 2.1Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better.
84.3%
#11 of 30Best: DeepSeek-V4.1-Flash · 90.6%
Agentic & tool use
BrowseCompWeb browsing — Can the AI browse the web and track down hard-to-find answers? Higher is better.via BenchLM
87.5%
#8 of 28Best: GPT-5.6 Sol · 92.2%
Reasoning & science
Robustness
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better.
54%
#25 of 79Best: Claude Opus 4.8 · 95%
Gray Swan IPIPrompt injection robustness — Attackers hide malicious instructions inside content the AI reads — a web page, an email, a document — and try to hijack what it does. Gray Swan's indirect prompt injection benchmark measures how often such an attack succeeds when the attacker gets a single try. Lower is better.
5.4%k = 1
26%k = 10
30.4%k = 15
k = 1
#8 of 13Best: Claude Opus 5 · 0.2%
k = 10
#8 of 13Best: Claude Opus 5 · 1.6%
k = 15
#8 of 13Best: Claude Opus 5 · 2%
Community preference
threejsevalCommunity preference (Three.js) — Every model gets the same prompt — "the Eiffel Tower", "a glass fishbowl", "a robot arm picking toys into a box" — and builds a 3D scene in Three.js. Real people then see two scenes side by side, names hidden, and vote for the one they prefer. The votes become a chess-style Elo rating on threejseval.com, averaged across all the prompts. It measures whether the scene looks and moves right to a human eye, not whether the code passes a test. Higher is better.
1438
#11 of 18Best: Claude Opus 5.5 · 2148
Source: Terminal-Bench, retrieved 30 August 2026 · Source: BenchLM, retrieved 24 August 2026. Other sources are identified on the linked benchmark pages.
Compare GPT-5.6 Terra with
Suggested comparisons
GPT-5.6 TerravsGPT-6 SolGPT-5.6 TerravsClaude Opus 5.5GPT-5.6 TerravsGemini 3.8 FlashGPT-5.6 TerravsMuse Spark 1.3GPT-5.6 TerravsGrok 4.7GPT-5.6 TerravsDeepSeek-V4.1-FlashGPT-5.6 TerravsMistral Medium 3.5GPT-5.6 TerravsKimi K3GPT-5.6 TerravsGLM-5.3-FlashGPT-5.6 TerravsQwen3.8-Max-0902GPT-5.6 TerravsNemotron 3.5 LightningFrequently asked questions
GPT-5.6 Terra was released by OpenAI on Friday, Jun 26 2026.
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