Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.
Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.
| Recraft V3 recraft/recraftv3 | Nemotron-3-120b-A12b nvidia/nemotron-3-120b-a12b | |
|---|---|---|
| Provider | Recraft | Nvidia |
| Family | Recraft | |
| Modality | image | text |
| Context window | — | 131,072 tok |
| Max output | — | 4,096 tok |
| Released | 2026-05-17 | 2026-02-24 |
| Input price | $0.040 /img | $0.500 /1M |
| Output price | — | $1.20 /1M |
| Cache read | — | — |
| Tools | — | yes |
| Streaming | — | yes |
| Vision | — | — |
| JSON mode | — | yes |
| Reasoning | — | yes |
| Prompt caching | — | — |
Recraft V3 is the previous-generation text-to-image model from Recraft, well-suited to design-quality compositions, brand-aware imagery, and accurate text rendering.
NVIDIA Nemotron 3 Super is a hybrid MoE model with leading accuracy for multi-agent applications and specialized agentic AI systems.
# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI
client = OpenAI(
base_url="https://api.aigateway.sh/v1",
api_key="sk-aig-...",
)
# Try Recraft V3
client.chat.completions.create(
model="recraft/recraftv3",
messages=[{"role":"user","content":"hello"}],
)
# Try Nemotron-3-120b-A12b — same client, same key
client.chat.completions.create(
model="nvidia/nemotron-3-120b-a12b",
messages=[{"role":"user","content":"hello"}],
)