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 | Mistral-7b-Instruct-V0.2-Lora mistral/mistral-7b-instruct-v0.2-lora | |
|---|---|---|
| Provider | Anthropic | Mistral |
| Family | Claude 4 | Mistral 7B |
| Modality | text | text |
| Context window | 1,000,000 tok | 15,000 tok |
| Max output | 128,000 tok | 4,096 tok |
| Released | 2026-04-16 | 2024-04-01 |
| Input price | $5.00 /1M | $0.050 /1M |
| Output price | $25.00 /1M | $0.100 /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.
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2.
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 Mistral-7b-Instruct-V0.2-Lora — same client, same key
client.chat.completions.create(
model="mistral/mistral-7b-instruct-v0.2-lora",
messages=[{"role":"user","content":"hello"}],
)