Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...
At a glance
- Context window
- 1Mtokens
- Max output
- 128Ktokens
- Knowledge to
- —
- Released
- 2026
Capabilities
Benchmarks
- Intelligence index
- 51
- Coding index
- 78
- Agentic index
- 56
Design Arena
| Category | Elo | Win rate |
|---|---|---|
| models · asciiart | 1,389 | 70.9 |
| models · gamedev | 1,363 | 59.5 |
| models · 3d | 1,362 | 61.6 |
| models · uicomponent | 1,361 | 61.4 |
| models · dataviz | 1,356 | 61.3 |
| models · svg | 1,350 | 62.1 |
| models · codecategories | 1,338 | 58.2 |
| models · website | 1,319 | 56.3 |
Standard evaluations
| Benchmark | Score | Tasks |
|---|---|---|
| gpqa_diamond | 0.87 | 1,188 |
| tau_bench_verified_airline | 0.8 | 300 |
Source: Artificial Analysis, Design Arena · as of Sep 16, 2026
Performance
Reference uptime
100%
Median latency
3,683 ms
Throughput
59.5 tok/s
IranRouter uptime comes from our own automated probes; the reference figures are daily measurements of this model's upstream routes. Each card shows a 30-day average, and a day without data stays empty.
Popularity
- Current rank
- #20
- Rank change, 7 days
- -5
Daily tokens · 90 days
215.4B
Ranked by daily token volume across the global model market; the figure above the chart is the daily average.
Supported parameters
Parameters this model accepts; anything else is ignored.
Quick start
from openai import OpenAI
client = OpenAI(
api_key="ir-...",
base_url="https://iranrouter.com/v1",
)
resp = client.chat.completions.create(
model="anthropic/claude-opus-5",
messages=[{"role": "user", "content": "سلام!"}],
)
print(resp.choices[0].message.content)Only base_url and the key change; the rest of your code stays as it is.