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.
| Claude Opus 4.7 anthropic/claude-opus-4.7 | Plamo-Embedding-1b pfnet/plamo-embedding-1b | |
|---|---|---|
| Provider | Anthropic | PFN |
| Family | Claude 4 | PLaMo |
| Modality | text | embedding |
| Context window | 1,000,000 tok | — |
| Max output | 128,000 tok | — |
| Released | 2026-04-16 | 2025-09-24 |
| Input price | $5.00 /1M | $0.019 /1M |
| Output price | $25.00 /1M | — |
| Cache read | $0.500 /1M | — |
| Tools | yes | — |
| Streaming | yes | — |
| Vision | yes | — |
| JSON mode | yes | — |
| Reasoning | yes | — |
| Prompt caching | yes | — |
Claude Opus 4.7 is Anthropic's most capable generally available model to date. It is highly autonomous and performs exceptionally well on long-horizon agentic work, knowledge work, vision tasks, and memory tasks.
PLaMo-Embedding-1B is a Japanese text embedding model developed by Preferred Networks, Inc. It can convert Japanese text input into numerical vectors and can be used for a wide range of applications, including information retrieval, text classification, and clustering.
from openai import OpenAI
client = OpenAI(
base_url="https://api.aigateway.sh/v1",
api_key="sk-aig-...",
)
# Try Claude Opus 4.7
client.chat.completions.create(
model="anthropic/claude-opus-4.7",
messages=[{"role":"user","content":"hello"}],
)
# Try Plamo-Embedding-1b — same client, same key
client.chat.completions.create(
model="pfnet/plamo-embedding-1b",
messages=[{"role":"user","content":"hello"}],
)