Intelligence
41.3
41
General reasoning and benchmark headroom.
LimitedOpenAI: GPT-5.6 Terra is a mid-range-priced multimodal generalist from OpenAI with balanced runtime profile, large context posture, and the clearest fit around long-context research / multimodal.
Benchmark blend
Dev workflow signal
Large
Mid-range tier
OpenAI: GPT-5.6 Terra currently reads as a mid-range multimodal option with large context and a balanced runtime profile.
Decision Strip
Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.
General reasoning and benchmark headroom.
LimitedTTFT 1.88s
CompetitiveHow much prompt and task state can stay in view.
Above average$12.00 output / 1M
CompetitiveEditorial Profile
Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...
OpenAI multimodal profile
Long-context research / Multimodal with large context and balanced runtime.
Balanced spend profile. Easier to justify in mixed production and exploration workloads.
Large context headroom supports repo-wide prompts and long research sessions.
Vision-capable routing opens up multimodal review and extraction workflows.
Costs look manageable, but still deserve attention in always-on agents or batch jobs.
Latency is balanced rather than ultra-fast, which is fine for most workflows but not the snappiest tier.
Image-grounded review, multimodal extraction, and UI audit workflows.
Long-context summarization, repo analysis, and policy or document review.
Benchmarks
Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.
Broad reasoning, knowledge depth, and flagship benchmark posture.
Software implementation, debugging quality, and coding benchmark signal.
Long-horizon execution quality and interactive benchmark evidence.
Specs & Pricing
Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.
This model sits in a balanced spend range. It is easier to justify across both production and exploratory workflows.
Metadata
Verification details remain available, but the page no longer forces them ahead of the editorial read.