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GPT-6.1 Terra: price, performance and context
Proprietary GPT-6.1 Terra by OpenAI costs $1.00 per 1M input and $5.00 per 1M output tokens, handles up to 1.1M tokens in one request (≈ 3,200 pages of text) and scores 48.1 points on the AgentKernel performance index, rank 10 of 215.
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Open in the interactive comparisonKey facts
- Licence
- Proprietary: no public weights, only through a provider API
- Input / 1M tokens
- $1.00
- Output / 1M tokens
- $5.00
- Context window
- 1.1M tokens
- Max. output
- 128K tokens
- Performance index
- 48.1 points · rank 10 of 215
- Coding index
- n/a
- Agentic index
- n/a
- Cost at your usage
- $2.25 / month
- Knowledge cutoff
- n/a
- In the catalog since
- Oct 26, 2026
- Capabilities
- Reasoning, Vision, Tool Calling, Files
Placements by task
What do you get for $10.00?
Rules of thumb from the cost calculator, base rates without caching or taxes.
| Task | Cost per task | For $10.00 |
|---|---|---|
| Chat repliesA question with a short history, a detailed answer | $0.003 | 3,600 |
| Email draftsBullet points in, a finished email out | $0.002 | 4,400 |
| Document summariesRead 10 pages, write a one-page summary | $0.006 | 1,700 |
| Code reviewsReview and comment on 500 lines of code | $0.011 | 950 |
| Book analysesAnalyse a 300-page book in one go | $0.11 | 90 |
Cheaper with similar performance
| Model | Licence | Performance | Your cost / month |
|---|---|---|---|
| Claude Haiku 5.5Anthropic | Proprietary | 43.4 | $0.225 |
| GLM 5.3Z.ai | Open | 44.8 | $0.42 |
| MiMo-V2.6-ProXiaomi | Open | 46.3 | $0.653 |
Stronger models
| Model | Licence | Performance | Your cost / month |
|---|---|---|---|
| Claude Fable 5Anthropic | Proprietary | 49.6 | $22.50 |
| Claude Opus 5Anthropic | Proprietary | 50.8 | $11.25 |
| GPT-6.1 SolOpenAI | Proprietary | 51.8 | $4.50 |
Open alternatives
| Model | Licence | Performance | Your cost / month |
|---|---|---|---|
| MiMo-V2.6-ProXiaomi | Open | 46.3 | $0.653 |
| GLM 5.3Z.ai | Open | 44.8 | $0.42 |
| Step 5 PreviewStepFun | Open | 43.7 | $1.675 |
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Markdown (e.g. GitHub README)
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