GPT-5.6 Terra
Mid-tierby OpenAI
GPT-5.6 Terra is the balanced everyday model in the GPT-5.6 family, previewed June 26, 2026. OpenAI positions it as GPT-5.5-class performance at a fraction of the price. It launched at $2.50 per million input tokens and $15 per million output, and OpenAI cut it 20 percent on July 30 to $2 input, $0.20 cached, and $12 output, with a 1 million token context window and higher rates above 272K input tokens. Access at launch was limited to roughly 20 pre-approved organizations under a US Government preview arrangement; general availability followed on July 9, 2026. Detailed SWE-bench, MMLU-Pro, and GDPval results are not yet public; OpenAI disclosed coding, biology, and cybersecurity numbers in the preview post and said the rest land at GA.
Input Price
$2.00
per 1M tokens
Output Price
$12.00
per 1M tokens
Context Window
1M
tokens
Released
2026-07
API access
Capabilities
Key Strengths
- ✓$2/$12 per 1M since the July 30 cut, well under GPT-5.5 at $5/$30
- ✓1M token context window
- ✓Same lineage as Sol with cheaper economics
- ✓Reasoning, vision, tool use, and code included
Best For
- ▸Production agentic workflows where Sol is overkill
- ▸High-volume coding assistants
- ▸RAG over very long contexts
- ▸Migration target from GPT-5.5 once Terra reaches GA
Benchmark Scores
| Benchmark | Score | Description |
|---|---|---|
| SWE-bench | 95.4 | Real-world software engineering tasks from GitHub issues (SWE-bench Verified) |
| MMLU-Pro | 86.7 | General knowledge and reasoning across 57 subjects |
| GPQA Diamond | 92.9 | Graduate-level science questions verified by domain experts |
| OSWorld 2.0 | 50.2 | Computer use across real desktop applications and multi-step GUI tasks |
| BrowseComp | 87.5 | Agentic web search and browsing over hard-to-find facts |
| FrontierCode v1.1 | 41.3 | Agentic coding on frontier software engineering tasks (Main split) |
| Terminal-Bench 4.0 | 26.3 | Long-horizon agentic work in a terminal across software, science, ML, operations, hardware, security, and media (66 tasks, all-or-nothing verifiers) |
Scores sourced from public benchmark datasets. See full benchmark leaderboard for all models.
Pricing Details
Input tokens
$2.00
per 1M tokens
Output tokens
$12.00
per 1M tokens
Estimated cost per 1K requests
$8.00
~1K input + ~500 output tokens avg
Prices are subject to change. Check the official documentation for current pricing. See the cost calculator for detailed estimates.
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