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 | Aura-2-EN deepgram/aura-2-en | |
|---|---|---|
| Provider | Anthropic | Deepgram |
| Family | Claude 4 | Aura |
| Modality | text | audio-tts |
| Context window | 1,000,000 tok | — |
| Max output | 128,000 tok | — |
| Released | 2026-04-16 | 2025-10-09 |
| Input price | $5.00 /1M | $0.030 /1K ch |
| Output price | $25.00 /1M | — |
| Cache read | $0.500 /1M | — |
| Tools | yes | — |
| Streaming | yes | 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.
Aura-2 is a context-aware text-to-speech (TTS) model that applies natural pacing, expressiveness, and fillers based on the context of the provided text. The quality of your text input directly impacts the naturalness of the audio output.
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 Aura-2-EN — same client, same key
client.chat.completions.create(
model="deepgram/aura-2-en",
messages=[{"role":"user","content":"hello"}],
)