OpenAI · model passport
OpenAI: GPT-5.6 Terra
gpt-5-6-terra- Cloud only
- Proprietary licence
- 1,050,000 context
- Released 2026-09-13(first seen on LMArena)
- Overall · LMArena
- 1,466#45 of 396
- Best percentile
- 94.0AIME (math)
- Cohort standing
- 71.5median 60.3
What the data says
Benchmarked on 16 of 27 tracked axes. Every figure below is the model's own published result on that board.
Strongest axes
- 94 pct — AIME (math) (99.7%)
- 92.8 pct — GPQA Diamond (93.3%)
- 90.3 pct — Coding (1,517)
Uneven: 54.9 percentile points between its best and worst axis — 94 pct on AIME (math) versus 39.1 pct on Terminal-Bench 4.0.
- AIME (math)94 pct99.7%Verify →
- GPQA Diamond92.8 pct93.3%Verify →
- Coding90.3 pct1,517Verify →
- Instruction following89.9 pct1,464Verify →
- Hard prompts89.4 pct1,489Verify →
- Overall88.9 pct1,466Verify →
- ARC-AGI-285.4 pct83.9%Verify →
- Factuality Arena84.3 pct1,468Verify →
- IFBench (Artificial Analysis)84.3 pct71.2%Verify →
- Vision Arena80 pct1,268Verify →
- Document Arena73.7 pct1,477Verify →
- WebDev Arena69.1 pct1,522Verify →
- SimpleQA Verified50 pct43.2%Verify →
- SimpleBench49.4 pct48.9%Verify →
- Agent Arena47.3 pct0.004Verify →
- Terminal-Bench 4.039.1 pct21.5%Verify →
- Search ArenaNot benchmarked
- FrontierMathNot benchmarked
- Humanity's Last ExamNot benchmarked
- LiveBenchNot benchmarked
- BFCL v4 (function calling)Not benchmarked
- SWE-bench Verified (live board)Not benchmarked
- MMLU-Pro (Artificial Analysis)Not benchmarked
- LiveCodeBench (Artificial Analysis)Not benchmarked
- HHEM Hallucination (Vectara)Not benchmarked
- SWE-bench VerifiedNot benchmarked
- Terminal-BenchNot benchmarked
Percentiles are the model's standing within each board's own population. Axes marked "not benchmarked" have no published result for this model — that is an absence of data, not a low score.
How to run it
Use it hosted
openai/gpt-5.6-terraAPI parameters this endpoint supports
Example request
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"openai/gpt-5.6-terra","messages":[{"role":"user","content":"Hello"}]}'Identifiers, limits and prices are synced from the upstream source shown above. Any field we haven't synced is left out entirely rather than guessed.
gpt-5.6-terra-xhigh stands at 71.5 (raw mean 75.5) — measured on 16 of 27 axes.
gpt-5.6-terra-xhigh stands at 71.5 versus a cohort median of 60.3 across 176 models released within 180 days — above the peer median.
gpt-5.6-terra-xhigh scores in the 94th percentile on AIME (math).
gpt-5.6-terra-xhigh scores at percentile 92.8 on GPQA Diamond.
gpt-5.6-terra-xhigh ranks between #13 and #59 across 6 built-in weightings — best under "Reasoning", worst under "Agentic".
Every claim is a computed fact from the current board data, phrased by a low-temperature model call and rejected by a validation gate if any number is not in the source row. How the leaderboards work →