Text model
gpt-6-sol pricing
Azure AI Foundry charges $2.00 per million input tokens and $10.00 per million output tokens for gpt-6-sol, and $0.20 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $2.00/ 1M
- Output
- $10.00/ 1M
- Cached input
- $0.20/ 1M
- Context
- 922Ktokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $2.00 | $10.00 | $0.20 | $2.50 |
| Standard, prompts over 272K tokens | $4.00 | $15.00 | $0.40 | $5.00 |
USD per million tokens. Long-context tiers apply when the whole prompt, cached tokens included, passes the threshold.
Work it out
What common workloads cost
| Workload | Per call | Cost per call | Calls a month | Per month |
|---|---|---|---|---|
| Chat reply | 1,500 input and 400 output tokens | $0.007 | 100,000 | $700.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.0098 | 100,000 | $980.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.02 | 250,000 | $4,400.00 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | — | 1,000,000 | — |
Planning a mix of models? Simulate a workload with gpt-6-sol, alongside anything else you run.
Cheaper options
Current models that cost at least 15% less for a typical chat reply. Cheaper isn't always equivalent: test quality on your own prompts, then use veqen diff to see the impact at your volume.
| Model | Chat reply | Saving |
|---|---|---|
| azure-ai/grok-4.6 | $0.0054 | 23% |
| azure-ai/mistral-large-latest | $0.0054 | 23% |
| bedrock/xai.grok-4.6 | $0.00594 | 15% |
| bedrock/amazon.nova-2-pro-preview-20251202-v1:0 | $0.00588 | 16% |
Price history
No price changes since Veqen started tracking this model.
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Last verified with price book 2026-10-22. Sources: Azure AI Foundry pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.