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.
| MiniMax H3 Highspeed minimax/h3-highspeed | Jev 1.14 typesafe/jev-1.14.0 | |
|---|---|---|
| Provider | MiniMax | Typesafe |
| Family | ||
| Modality | video | text |
| Context window | — | 32,000 tok |
| Max output | — | 32,000 tok |
| Released | 2026-10-30 | 2026-10-16 |
| Input price | $0.060 /sec | $0.042 /1M |
| Output price | — | $0.0000 /1M |
| Cache read | — | — |
| Tools | — | — |
| Streaming | — | yes |
| Vision | — | — |
| JSON mode | — | — |
| Reasoning | — | — |
| Prompt caching | — | — |
A multimodal video generation model that balances quality and speed, supporting text-to-video, first and last frame image-to-video, and reference-to-video generation at 768P.
Jev 1.14 is TypeSafe's structured evaluation model. It evaluates one state against typed Noul, Choice, Score, and Box questions and returns calibrated answers with probabilities and confidence. Image inputs and Box questions are beta and dreamer-ready, not recommended for production.
# 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 MiniMax H3 Highspeed
client.chat.completions.create(
model="minimax/h3-highspeed",
messages=[{"role":"user","content":"hello"}],
)
# Try Jev 1.14 — same client, same key
client.chat.completions.create(
model="typesafe/jev-1.14.0",
messages=[{"role":"user","content":"hello"}],
)