GPT-5.6 Terra API Pricing
OpenAI · released 2026-07-09
Also searched as: GPT 5.6 Terra pricing · 5.6 Terra price
GPT-5.6 Terra price
0.200¢ / 1K
1.20¢ / 1K
0.450¢ / 1K
Higher rates apply above a context threshold; see the official site
Official list price from OpenAI, as recorded by models.dev
What it actually costs
| Workload | Tokens | Cost |
|---|---|---|
| Short chat reply | 500 in / 300 out | 0.46¢ |
| RAG query | 4,000 in / 500 out | $0.0140 |
| Long document summary | 50,000 in / 1,000 out | $0.1120 |
| Code review of a 2k-line file | 30,000 in / 2,000 out | $0.0840 |
| 1,000 chat replies/day for 30 days | 30,000 × (500 in / 300 out) | $138.00 |
Cost = (input tokens ÷ 1,000,000 × $2.00) + (output tokens ÷ 1,000,000 × $12.00).
Benchmarks
| Benchmark | Value | Source | As of |
|---|---|---|---|
| Epoch Capabilities Index (ECI) | 160.9 | epoch | 2026-07-09 |
| Epoch Mock AIME accuracy | 99.7% | epoch | 2026-07-09 |
| Epoch FrontierMath (T1–3) accuracy | 86.0% | epoch | 2026-07-09 |
| Arena text rating | 1467 | arena | 2026-10-28 |
| Arena coding rating (human preference votes, not task accuracy) | 1517 | arena | 2026-10-28 |
| Arena math rating | 1480 | arena | 2026-10-28 |
| Arena WebDev rating | No public data yet | ||
LiveBench
Shown on this model page only — LiveBench data never appears in any leaderboard, comparison table or structured data on this site.
| LiveBench metric | Value | As of |
|---|---|---|
| LiveBench Global Average | 77.9 | 2026-06-25 |
| LiveBench Reasoning | 90.6 | 2026-06-25 |
| LiveBench Coding | 78.2 | 2026-06-25 |
| LiveBench Agentic Coding | 54.9 | 2026-06-25 |
| LiveBench Mathematics | 94.9 | 2026-06-25 |
| LiveBench Data Analysis | 79.3 | 2026-06-25 |
| LiveBench Language | 82.9 | 2026-06-25 |
| LiveBench Instruction Following | 64.6 | 2026-06-25 |
LiveBench leaderboard (livebench.ai, github.com/LiveBench/new-livebench), CC BY-SA 4.0 — livebench.ai · github.com/LiveBench/new-livebench · CC BY-SA 4.0
Similar ECI, lower price
| Model | ECI | Blended $/1M |
|---|---|---|
| Claude Haiku 5.5 | 160.2 | $0.20 |
| GPT-6 Luna | 156.7 | $0.20 |
| DeepSeek V4.1 Flash 1017 | 159.3 | $0.2625 |
| GPT-5.6 Luna | 156.8 | $0.45 |
| Gemini 3.7 Flash | 158.4 | $1.50 |
More from OpenAI
| Model | Released | Blended $/1M |
|---|---|---|
| GPT-6.1 Terra | 2026-10-26 | $2.00 |
| GPT-6.1 Sol | 2026-09-29 | $4.00 |
| GPT-6 Sol | 2026-09-22 | $4.00 |
| GPT-6 Luna | 2026-09-22 | $0.20 |
| GPT-Live 1 | 2026-09-10 | — |
| GPT Image 2.5 Sunburst | 2026-09-08 | $11.25 |
| GPT Image 2.5 Flare | 2026-09-08 | $11.25 |
| GPT-6 Astra (Fast) | 2026-09-04 | — |
Count tokens & estimate cost for GPT-5.6 Terra See GPT-5.6 Terra on the leaderboard
Prices: OpenAI's official list price as recorded by models.dev; benchmarks: see sources below; last synced 2026-11-06.
Compare GPT-5.6 Terra with …
FAQ
Who develops GPT-5.6 Terra?
GPT-5.6 Terra is developed by OpenAI, released 2026-07-09.
How much does GPT-5.6 Terra cost per million tokens?
GPT-5.6 Terra costs $2.00 per 1M input tokens and $12.00 per 1M output tokens ($4.50 blended), per OpenAI's official list price as recorded by models.dev.
What is the GPT-5.6 Terra API price?
The GPT-5.6 Terra API price is $2.00 per 1M input tokens and $12.00 per 1M output tokens ($4.50 per 1M blended).
How much does GPT-5.6 Terra cost for a typical request?
A short chat reply (500 in / 300 out tokens) costs about 0.46¢ on GPT-5.6 Terra, at $2.00/1M input and $12.00/1M output.
Is GPT-5.6 Terra free?
GPT-5.6 Terra's official API list price is $2.00 per 1M input tokens and $12.00 per 1M output tokens. This site tracks list prices only, not free tiers or trial credits — check OpenAI's site for those.
How does GPT-5.6 Terra rank on benchmarks?
GPT-5.6 Terra scores 160.9 on the Epoch Capabilities Index (ECI), ranking #14 of 107 models we track with a published ECI score.
Is there a cheaper model with a similar ECI to GPT-5.6 Terra?
Yes — Claude Haiku 5.5 scores a similar ECI (160.2) at $0.20/1M blended, versus $4.50/1M for GPT-5.6 Terra.
Where does this data come from?
Pricing for GPT-5.6 Terra comes from models.dev and LiteLLM (open MIT-licensed catalogs); benchmark scores come from Epoch AI and LMArena (open CC BY 4.0 licenses); LiveBench scores (below) are CC BY-SA 4.0 — see /data-sources/. Last synced 2026-11-06.