Anthropic
Claude Sonnet 4.6
model
claude-sonnet-4-6MidStableVisionStreamingVisionToolsBatchLong contextUnited States
Context
1.0M
Input / 1M tokens
$3.00
Output / 1M tokens
$15.00
Cached input / 1M tokens
$0.3000
Cache write / 1M tokens
$3.75
About this model
Claude Sonnet 4.6
Claude Sonnet 4.6 is Anthropic's mid-tier flagship — the workhorse choice. Near-Opus quality on most tasks at a third of the price. The right default for production agentic workloads.
Key facts
- Maker
- Anthropic
- Context window
- 1.0M tokens
- Max output
- 64K tokens
- Lane
- Guarded: the provider has confirmed it does not train on your data
- Modality
- Text and image input
- Input price
- $3.00 per 1M tokens
- Output price
- $15.00 per 1M tokens
- Processing region(s)
- us
- Route
- Via Anthropic's API
- Cheapest plan
- Available from the Pro plan
- Price comparison
- Priced below 19 of 241 pro-band guarded models on Anoman (blended price: 1 part input to 3 parts output).
Released
2024-12
Training cutoff
2024-11
Parameters
Not disclosed
Ways to call
Ways to call Claude Sonnet 4.6
Each model ID below is callable through the Anoman AI API. Price and processing region depend on the route.
| Model ID | Route | Input / output per 1M tokens | Region(s) | Lane | Context |
|---|---|---|---|---|---|
| claude-sonnet-4-6 | Via Anthropic's API | $3.00 / $15.00 | us | Guarded | 1.0M |
| claude-sonnet-4-6-openrouter | Via OpenRouter | $3.00 / $15.00 | global | Guarded | 1.0M |
Best for
Use cases
- Production AI assistants
- Coding agents (best price/quality balance)
- Customer support automation
- Document analysis + extraction
- Most agentic workflows with tool calling
Strengths
What it does well
- Near-Opus quality at significantly lower cost
- Strong instruction-following + tool calling
- 1M-token context window
- Excellent prompt caching support
- Faster than Opus — ~2× the throughput
Limitations
Know the trade-offs
- Trails Opus on the hardest multi-step planning tasks
- Latency higher than Haiku — not for sub-second UX
- Premium pricing vs open-weights alternatives
Code example
Chat completion with Claude Sonnet 4.6
from openai import OpenAI
client = OpenAI(
base_url="https://api.anoman.io/v1",
api_key="anm-sk-..."
)
response = client.chat.completions.create(
model="claude-sonnet-4-6",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)Alternatives
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