GPT-5.6 Terra
$489.00 / month- Input cost
- $273.00
- Output cost
- $216.00
- Per 1,000 calls
- $48.90
- Pricing profile
- standard / short context
Source-tracked model comparison
How do GPT-5.6 Terra and Claude Sonnet 4.6 costs compare for code review?
Compare verified pricing and model limits for code review and higher-value generation. The cost example uses a code review assistant workload and does not assume equal model quality.
Direct cost answer: GPT-5.6 Terra is estimated at $489.00 per month and Claude Sonnet 4.6 at $679.50 for 15,000 input tokens, 1,800 output tokens, and 10,000 monthly requests. GPT-5.6 Terra is $190.50 lower under these assumptions. This does not identify a quality winner.
Tracked facts
Pricing and model limits
Prices are USD per 1M tokens under each model's verified default profile.
| Field | GPT-5.6 Terra | Claude Sonnet 4.6 |
|---|---|---|
| API access provider | OpenAI | Anthropic |
| API model ID | gpt-5.6-terra | claude-sonnet-4-6 |
| Input / 1M | $2.00 | $3.00 |
| Cached input / 1M | $0.20 | $0.30 |
| Output / 1M | $12.00 | $15.00 |
| Context window | 1,050,000 tokens | 1,000,000 tokens |
| Maximum output | 128,000 tokens | 128,000 tokens |
| Accepted input | text, image | text, image |
Example workload
Code review assistant cost scenario
15,000 input and 1,800 output tokens per request, 10,000 monthly requests, and 10% cached input.
Claude Sonnet 4.6
$679.50 / month- Input cost
- $409.50
- Output cost
- $270.00
- Per 1,000 calls
- $67.95
- Pricing profile
- standard
Cost result: GPT-5.6 Terra is $190.50 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.
Questions to answer before choosing
- Which model catches the team's important review cases?
- How often does a review require a follow-up call?
- Will long prompts cross a tracked pricing threshold?
What this estimate leaves out
This scenario does not claim equal review quality and excludes code indexing, sandbox, and repository-hosting costs.
Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.
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