Model
Model explorer

GPT-5.6 Terra

CLOSED
OpenAI · GPT-5.6 family · released Jul 9, 2026

Mid tier of the three-tier GPT-5.6 family (GA July 9, 2026 alongside Sol and Luna); OpenAI positions the tiers as 'durable capability tiers that can advance on their own cadence' — Terra is the balanced everyday model between flagship Sol and high-volume Luna. Same 1.05M context, 128K max output and Feb 2026 knowledge cutoff as Sol. Price cut ~20% on July 30, 2026 (launch $2.50/$15 → $2/$12 per MTok), leaving it at 40% of Sol's price. Distinct model tier, not a reasoning-effort configuration of Sol (each tier separately exposes its own effort settings).

ReasoningCodingVisionFunction callingTool useAgentic
2638.6
Elo · rank #27
Parameters
Undisclosed
Active params
—
Context
1.05M tokens
Architecture
Undisclosed architecture (presumed dense transformer); mid 'durable capability tier' of the GPT-5.6 Sol/Terra/Luna family, billed as balancing intelligence and cost
License
Proprietary
Languages
—
API price (in/out)
$2 / $12
Modalities
text · vision
Benchmark results
Bar shows position within the tracked field; marker = field best
Agents' Last ExamAgents50.4%#4
best: GPT-6 Astra · 59.3%
ARC-AGI-1Reasoning96.5%#7
best: Claude Fable 5 · 98.5%
ARC-AGI-2Reasoning83.9%#9
best: GPT-6 Astra · 95.0%
ARC-AGI-3Reasoning0.8%#8
best: GPT-6 Astra · 62.7%
Arena EloHuman preference1466#26
best: Claude Fable 5 · 1504
BrowseCompAgents87.5%#6
best: Kimi K3 · 91.2%
CyberGymCoding81.8%#9
best: MiMo-V2.6-Flash · 95.1%
FrontierBenchAgents20.8%#5
best: Claude Opus 5 · 43.3%
best: GPT-5.6 Sol · 89.0%
best: GPT-5.6 Sol · 83.0%
GDPval-AAAgents1593#14
best: Claude Fable 5 · 1932
GPQA DiamondReasoning92.9%#14
best: GPT-6 Astra · 96.0%
Humanity's Last ExamReasoning41.8%#28
best: Claude Opus 5.5 · 67.7%
IFBenchReasoning71.2%#32
best: MiniMax M3 · 83.0%
MMMU-ProVision80.7%#10
best: Claude Opus 4.7 · 85.5%
SWE-bench ProCoding63.4%#10
best: Claude Opus 5.5 · 89.9%
SWE-bench VerifiedCoding95.4%#5
best: Claude Opus 5 · 97.0%
τ³-BankingAgents31.8%#4
best: Step 5 Preview · 42.5%
Terminal-Bench 2.0Coding87.4%#9
best: DeepSeek-V4.1-Flash · 90.6%
Run it locally
Closed weights — available via API only. No local deployment.
Input / M tok
$2
Output / M tok
$12
API price $2/$12 · each benchmark row carries its own source badge (see methodology)