GPT-6 Sol vs GPT-5.2
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GPT-6 Sol | GPT-5.2 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price (1M) | $2.00 | $1.75 |
| Output Price (1M) | $10.00 | $14.00 |
| Context Window | 1,050,000 | 128,000 |
Verdict
GPT-6 Sol costs $2.00 per 1M input tokens and $10.00 per 1M output tokens. GPT-5.2 costs $1.75 per 1M input tokens and $14.00 per 1M output tokens. GPT-5.2 is 13% cheaper on input tokens than GPT-6 Sol. For output tokens, GPT-6 Sol is the more affordable option at $10.00/1M vs $14.00.
On context window, GPT-6 Sol supports 1,050,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GPT-6 Sol
- ✓ Your workload is output-heavy — GPT-6 Sol generates text cheaper
- ✓ You need a larger context window (1,050,000 tokens)
- ✓ You are already integrated with OpenAI
When to choose GPT-5.2
- ✓ You need the lowest input token cost ($ 1.75/1M)
- ✓ You are already integrated with OpenAI
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is GPT-6 Sol cheaper than GPT-5.2? ▼
GPT-5.2 is cheaper on input tokens at $1.75/1M vs $2.00/1M for GPT-6 Sol — a 13% saving.
What is the context window of GPT-6 Sol vs GPT-5.2? ▼
GPT-6 Sol has a 1,050,000-token context window. GPT-5.2 has a 128,000-token context window. GPT-6 Sol supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GPT-6 Sol or GPT-5.2? ▼
The best choice depends on your use case. For cost efficiency on input tokens, GPT-5.2 is the cheaper option. For maximum context length, GPT-6 Sol supports 1,050,000 tokens. Use the comparison table above to find the right fit for your workload.