by datastudy.nl

Head-to-head comparisons of frontier AI models, rebuilt daily from public benchmark data

OpenAI

GPT-5.6 Terra

Released Jul 2026 · knowledge cutoff Feb 2026. Proprietary, available through the provider's API.

GPT-5.6 Terra is built by OpenAI and has 44 benchmark results tracked in the public leaderboard. It supports multimodal input, with a context window of 1.05M tokens. At the blended 8:1 input-to-output rate, it costs $3.11 per million tokens and delivers about 34.7 tokens per second.

Blended price$3.11per 1M tokens (8:1)
Context1.05Mtokens
Output speed34.7tokens / sec
Benchmarks44results tracked

Where GPT-5.6 Terra ranks

The chart below ranks every model in the comparison by overall capability, which is the average of a model's scores across the eight workload axes. GPT-5.6 Terra is the red bar. This is the single number to check first: it tells you where the model sits in the current pecking order before you dig into the detail.

Bar chart ranking all ten models by overall capability index, with GPT-5.6 Terra highlighted in red.
Every model ranked by overall capability index (0 to 100), averaged across eight workload axes. GPT-5.6 Terra is the red bar. Data Today, from llm-stats.com public benchmarks.

Workload strengths

Each row below is the average normalized score across every benchmark tagged with that workload category. A higher number means the model performs better on that kind of task relative to the maximum possible score on those benchmarks. Categories where the model has no published results are shown as n/a.

WorkloadIndex (0–1)
Reasoning66%
Coding59%
Agents62%
Math77%
Vision66%
Long Context78%
Writingn/a
Knowledge61%

How GPT-5.6 Terra stacks up against every other model

Below is every head-to-head comparison involving GPT-5.6 Terra. Each card shows the win/loss tally across all workload axes and headline benchmarks. Tap any matchup for the full breakdown with per-benchmark scores, pricing, and workload recommendations.


Choose a matchup above, or start from the hub to pick any two models.