Models / GPT-5.6 Terra

GPT-5.6 Terra

workstation

Efficient proprietary dense model from OpenAI, the mid-tier sibling of GPT-5.6 Sol. Same 1,050,000-token context and 128K max output as Sol. Text + image in, text out. Reasoning effort spans none through max; medium is default.

  • Pricing: $2/1M input, $12/1M output.

Agents on Rails benchmark (Aug 2026, Le Mans round). 77.8% accuracy on 63 runs - 49 of 63, at $0.197 mean cost and a 3m 02s median, the fastest in the entire 16-model field. OpenAI’s three models (Sol 84.1%, Terra 77.8%, Luna 73%) score in exactly price order, all in the fastest third. Terra is the “20 cents a run” sweet spot: near-frontier accuracy at a fraction of the flagship’s cost.

AI-generated content marks

The provider reports that this model does not add embedded watermarks or provenance metadata to generated output.

Provider transparency docs →

coding reasoning agentic
Context
1050k
License
proprietary
Developer
OpenAI
Origin
🇺🇸 USA
Released
Aug 2026

Scores

Coding
90
Reasoning
90
Tool calling
90
General
90

Score per dollar

45 pts per $/M input

general_score (90) divided by cheapest input price ($2.00/M). Higher is better value. See live pricing.

Related models

Guides covering GPT-5.6 Terra

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Or run it in the cloud

Live per-provider pricing, throughput and uptime - refreshed about 1 month ago via OpenRouter. Click a column to sort.

some pricing may be stale - last verified 2026-08-15

Provider Type Input $/M Output $/M Cache $/M Tok/s Latency Uptime Value
OpenAI stale
API 2.00 12.00 - - - - cheapest
DigitalOcean stale
API 2.00 12.00 0.200 - - -

Default order: throughput among 95%+ uptime providers, then latency; subscriptions last. Sort by any column. Subscription rows show $/mo in the Value column - per-token columns are "-". Affiliate links are marked sponsored / nofollow. Confirm current pricing on the provider's site before committing.

Detailed API pricing page + JSON endpoint →

PRICE HISTORY

Inference cost over time

Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.

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