claude-opus-4-8Google Vertex AI @us
- api
- chat
- hosting
- US
- model lab
- Anthropic
- weights
- closed
- added
- May 2026
- model id
- vertex/claude-opus-4-8@us
capabilities 7/8
3 providers serve claude-opus-4-8. This page is one of them. Compare all endpoints
- input
- $5.50
- output
- $27.50
- cache write
- $6.88
- cache read
- $0.55
worked cost
| volume | cost |
|---|---|
| 100K in + 10K out | $0.82 |
| 1M in + 100K out | $8.25 |
| 10M in + 1M out | $82.50 |
Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing
- median ttft
- 967ms
- median tok/s
- 83.0
- blended /1M
- $1.67
- cache hit
- 84.0%
Weekly aggregates from production traffic routed through Requesty to this endpoint. A metric with no qualifying sample is left out rather than filled in. Compare against the other providers
no published scores for this exact variant. region deployments and highspeed tiers usually share the base model's results
- retention
- none
- trains on prompts
- no
- hosted in
- US
- deployment
- us
Terms are the provider's, not Requesty's: routing a request here puts it under them. Vertex AI Data Governance
Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.
vertex/claude-opus-4-8@usthis id pins the google vertex ai deployment, with no routing and no failover. the managed id on the canonical page routes across all 3 providers instead
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="vertex/claude-opus-4-8@us", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models
Opus 4.8 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.7, it delivers stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows. It is especially effective for asynchronous agent pipelines where tasks unfold over time - large codebases, multi-stage debugging, and end-to-end project orchestration. Beyond coding, Opus 4.8 brings improved knowledge work capabilities - from drafting documents and building presentations to analyzing data. It maintains coherence across very long outputs and extended sessions, making it a strong default for tasks that require persistence, judgment, and follow-through.
questions 6
How much does claude-opus-4-8 cost?
What is the context window of claude-opus-4-8?
What can claude-opus-4-8 do?
How do I use claude-opus-4-8 with the OpenAI SDK?
Can I run claude-opus-4-8 through Requesty?
What region is this deployment?
more from google vertex ai 8
| endpoint | ctx | in /M |
|---|---|---|
| gemini-4-argon | 1.0M | $2.00 |
| gemini-4-argon | 1.0M | $2.20 |
| claude-haiku-5-5 | 1M | $0.11 |
| claude-sonnet-5-5 | 1M | $2.00 |
| claude-sonnet-5-5 | 1M | $2.20 |
| claude-sonnet-5-5 | 1M | $2.20 |
| claude-opus-5-5 | 1M | $4.00 |
| claude-opus-5-5 | 1M | $4.40 |
call claude-opus-4-8 through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology