Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...
At a glance
- Context window
- 1Mtokens
- Max output
- 128Ktokens
- Knowledge to
- —
- Released
- 2026
Capabilities
Benchmarks
- Intelligence index
- 38
- Coding index
- 72
- Agentic index
- 44
Design Arena
| Category | Elo | Win rate |
|---|---|---|
| models · gamedev | 1,312 | 54 |
| models · uicomponent | 1,297 | 55.1 |
| models · codecategories | 1,292 | 53.8 |
| models · website | 1,289 | 53.5 |
| models · 3d | 1,288 | 54.9 |
| models · dataviz | 1,260 | 52.8 |
| models · asciiart | 1,225 | 52.1 |
| models · svg | 1,215 | 51.6 |
Standard evaluations
| Benchmark | Score | Tasks |
|---|---|---|
| gpqa_diamond | 0.81 | 1,383 |
| tau_bench_verified_airline | 0.77 | 300 |
Source: Artificial Analysis, Design Arena · as of Sep 16, 2026
Performance
Reference uptime
100%
Median latency
2,726 ms
Throughput
57.8 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
- #14
- Rank change, 7 days
- +4
Daily tokens · 90 days
156.6B
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-sonnet-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.