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Model details

GPT 5.6 Terra (Fast)

GPT-5.6 Terra Fast sits inside the GPT-5.6 family that OpenAI released on July 9, 2026, and it is positioned as the latency-tuned option for high-frequency tasks rather than the flagship reasoning profile. Independent coverage frames Terra Fast as the recommended model when throughput and quick response cycles matter most, while leaving the deeper planning and long-horizon work to other members of the family. The variant inherits the multimodal and tool-oriented capabilities associated with the broader GPT-5.6 line, and it is intended for deployments where agents must coordinate tool calls, retrieve live data, and turn that input into actions on tight loops without losing coherence. That makes it a practical fit for trading bots, real-time assistants, and other pipelines that need a balance between responsive generation and reliable tool orchestration.

In benchmark comparisons that emphasize command-line and tool coordination, the GPT-5.6 family has shown strength against earlier leading systems, with Terra Fast specifically marketed as the profile teams should reach for when every second and every token counts. The variant shares the family's multimodal ingestion and reasoning features, but its tuning points toward shorter, faster interactions instead of exhaustive analysis, which helps it stay cost-efficient under sustained load. For practitioners, Terra Fast is best understood as a specialized member of the GPT-5.6 lineup: well-suited to high-volume, tool-driven workflows where a responsive model with strong reasoning is more valuable than maximum depth, and complementary to sibling variants that handle more deliberative research and planning tasks.

Vercel AI Gatewayopenai/gpt-5.6-terra-fastgpt-terra

Quick Info

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Provider
Vercel AI Gateway
Model key
openai/gpt-5.6-terra-fast
Release date
Jul 9, 2026
Last updated
Jul 9, 2026
Knowledge cutoff
2026-02-16
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$4.00
Output token cost
$24.00

Limits

Input tokens
922,000 tokens
Output tokens
128,000 tokens
Context window
1,050,000 tokens

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