GPT-5.6-terra (long context) pricing
GPT-5.6-terra (long context), Mid-tier from Azure OpenAI Service, costs $4.00 per 1M input tokens and $18.00 per 1M output tokens.
Input$4.00per 1M tokens
Output$18.00per 1M tokens
Context window—tokens
TierMidAzure OpenAI Service
Price your own workload against GPT-5.6-terra (long context) in the calculator →
Specs and pricing
| Provider | Azure OpenAI Service |
| Tier | Mid |
| Context window | — |
| Max output | — |
| Input price | $4.00 / 1M tokens |
| Output price | $18.00 / 1M tokens |
| Cache write | $5.00 / 1M tokens |
| Cache read | $0.40 / 1M tokens |
| Modalities | text |
Note. Global Standard tier, long-context row; USD per 1M tokens as published.
What it costs at realistic volumes
Assuming a 4:1 input:output token ratio, a common shape for chat and RAG-style workloads:
| Volume (4:1 in:out ratio) | Input cost | Output cost | Total / month |
|---|---|---|---|
| 1,000,000 in / 250,000 out | $4.00 | $4.50 | $8.50 |
| 10,000,000 in / 2,500,000 out | $40.00 | $45.00 | $85.00 |
| 100,000,000 in / 25,000,000 out | $400.00 | $450.00 | $850.00 |
Cheaper alternatives
Same tier (Mid), a different provider, and a lower blended cost at the 4:1 ratio used above:
| Model | Provider | $/1M in | $/1M out | At the 4:1 ratio |
|---|---|---|---|---|
| GPT-OSS 120B | OpenRouter | $0.037 | $0.17 | 99.1% cheaper blended |
| GPT-OSS 120B | Novita AI | $0.05 | $0.25 | 98.7% cheaper blended |
| Llama-3.3-70B-Instruct-Turbo | DeepInfra | $0.10 | $0.32 | 97.9% cheaper blended |
| Nemotron 3 Super | OpenRouter | $0.085 | $0.40 | 97.8% cheaper blended |
| DeepSeek V4 Flash 0731 | Baseten | $0.13 | $0.26 | 97.7% cheaper blended |