GPT-6.1 Sol vs GPT-Image-2.5 Flare
GPT-6.1 Sol (OpenAI) versus GPT-Image-2.5 Flare (OpenAI): API pricing, context window, capabilities and uptime, from the same data as each model page, at the WandAPI default channel price. Input costs 0.6 Credits / M for GPT-6.1 Sol and 17.5 Credits / M for GPT-Image-2.5 Flare, so GPT-6.1 Sol is 97% cheaper.
Specs side by side
| Item | ||
|---|---|---|
| Input (prompt) · Credits / M | 0.6≈ $0.0909 | 17.5≈ $2.65 |
| Output (completion) · Credits / M | 3≈ $0.454 | 105≈ $15.91 |
| Cache read · Credits / M | 0.03 | 4.38 |
| Context window | 1.05M | — |
| Max output | 128K | — |
| 7-day uptime | 98.3% | — |
| Latest probe latency | 2.83 s | — |
| Measured throughput | 25.0 t/s | — |
| Protocols | OpenAI Responses | — |
| Sample monthly cost (10M in + 2M out) | 12≈ $1.82 | 385≈ $58.32 |
Prices are the WandAPI default channel price in Credits (1 Credit = ¥1); green marks the better side. Uptime and latency come from WandAPI probes; a dash means the model is not probed yet.
Capabilities
FAQ
Which is cheaper, GPT-6.1 Sol or GPT-Image-2.5 Flare?
At the WandAPI default channel price, GPT-6.1 Sol input costs 0.6 Credits / M and GPT-Image-2.5 Flare input costs 17.5 Credits / M, so GPT-6.1 Sol is 97% cheaper. Output and cache prices are in the specs table above.
Can I switch between GPT-6.1 Sol and GPT-Image-2.5 Flare at any time?
Yes. WandAPI calls every model with the same API key; switching is just changing the model field in the request, and billing is split per model in one console.
How do the capabilities of GPT-6.1 Sol and GPT-Image-2.5 Flare differ?
Only GPT-6.1 Sol: Function Calling, Reasoning, Response Schema, Streaming, Web Search. Every other capability is either supported by both or by neither; see the capability table above.
More comparisons
One API key for both GPT-6.1 Sol and GPT-Image-2.5 Flare
Free credits on sign-up, pay as you go, no monthly fee.