GPT-6 Astra vs GPT-Image-2
GPT-6 Astra (OpenAI) versus GPT-Image-2 (OpenAI): API pricing, context window, capabilities and uptime, from the same data as each model page, at the WandAPI default channel price. Input costs 3 Credits / M for GPT-6 Astra and 1.5 Credits / M for GPT-Image-2, so GPT-Image-2 is 50% cheaper.
GPT-6 Astragpt-6-astraGPT-Image-2gpt-image-2Specs side by side
| Item | GPT-6 Astragpt-6-astra | GPT-Image-2gpt-image-2 |
|---|---|---|
| Input (prompt) · Credits / M | 3≈ $0.456 | 1.5≈ $0.228 |
| Output (completion) · Credits / M | 15≈ $2.28 | 9≈ $1.37 |
| Cache read · Credits / M | 0.3 | 0.375 |
| Context window | 1.05M | — |
| Max output | 128K | — |
| 7-day uptime | 99.5% | — |
| Latest probe latency | 2.6s | — |
| Measured throughput | 18.6 t/s | 37.4 t/s |
| Protocols | OpenAI Responses | — |
| Sample monthly cost (10M in + 2M out) | 60≈ $9.12 | 33≈ $5.02 |
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 Astra or GPT-Image-2?
At the WandAPI default channel price, GPT-6 Astra input costs 3 Credits / M and GPT-Image-2 input costs 1.5 Credits / M, so GPT-Image-2 is 50% cheaper. Output and cache prices are in the specs table above.
Can I switch between GPT-6 Astra and GPT-Image-2 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 Astra and GPT-Image-2 differ?
Only GPT-6 Astra: 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 Astra and GPT-Image-2
Free credits on sign-up, pay as you go, no monthly fee.