GPT-5.6-sol (short context) pricing
GPT-5.6-sol (short context), Flagship-tier from Azure OpenAI Service, costs $5.00 per 1M input tokens and $30.00 per 1M output tokens.
Input$5.00per 1M tokens
Output$30.00per 1M tokens
Context window—tokens
TierFlagshipAzure OpenAI Service
Price your own workload against GPT-5.6-sol (short context) in the calculator →
Specs and pricing
| Provider | Azure OpenAI Service |
| Tier | Flagship |
| Context window | — |
| Max output | — |
| Input price | $5.00 / 1M tokens |
| Output price | $30.00 / 1M tokens |
| Cache write | $6.25 / 1M tokens |
| Cache read | $0.50 / 1M tokens |
| Modalities | text |
Note. Global Standard tier, short-context row; price table is in USD per 1M tokens already, no conversion needed.
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 | $5.00 | $7.50 | $12.50 |
| 10,000,000 in / 2,500,000 out | $50.00 | $75.00 | $125.00 |
| 100,000,000 in / 25,000,000 out | $500.00 | $750.00 | $1,250 |
Cheaper alternatives
Same tier (Flagship), 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 |
|---|---|---|---|---|
| Qwen3 235B A22B Instruct 2507 | Novita AI | $0.09 | $0.58 | 98.1% cheaper blended |
| GPT-OSS 120B | Groq | $0.15 | $0.60 | 97.6% cheaper blended |
| Qwen3 235B-A22B (2507) | Parasail | $0.14 | $0.80 | 97.3% cheaper blended |
| Llama 4 Maverick | Together AI | $0.27 | $0.85 | 96.1% cheaper blended |
| Llama 4 Maverick Instruct | Novita AI | $0.27 | $0.85 | 96.1% cheaper blended |