Anthropic.claude Opus 4.8

Name: Anthropic.claude Opus 4.8
Brand: AWS Bedrock (Converse)
Price: 5 USD

AWS Bedrock (Converse)Chat1M context· released 2026-05-28Floating alias

anthropic.claude-opus-4-8

Estimate cost Compare

Prices as of 2026-07-14 · rev 179affb· unknown is shown as unknown, never $0.00

Cost / request$0.01751K in · 500 out

Input / M$5.00

Output / M$25.00

Cache read / M$0.50

Context1M1,000,000 tokens

Max output128K128,000 tokens

Pricing

Input · fresh prompt tokens	$5.00 / M
Output · generated tokens	$25.00 / M
Cache read · cached-input hit	$0.50 / M
Cache write · 5-minute TTL	$6.25 / M
Cache write · 1-hour TTL	$10.00 / M
Reasoning · thinking tokens	unknown

Reasoning tokens: no separate rate is published. Providers typically bill thinking tokens at the output rate ($25.00 / M) — which is what the estimator assumes, so an extended-thinking workload isn't silently undercounted.

Model info

Provider: AWS Bedrock (Converse)
Catalog key: bedrock_converse/anthropic.claude-opus-4-8
Identifier: Floating alias (may re-point over time)
Type: Chat
Max input: 1,000,000 tokens
Max output: 128,000 tokens
Released: 2026-05-28
Knowledge cutoff: unknown
Weights: Proprietary
Price snapshot: 2026-07-14 · rev 179affb

Pricing from TokenTriage's resolved price artifact (TokenTriage resolved price artifact (internal/pricing/data/prices.json)); capability + model metadata is third-party (LiteLLM model_prices_and_context_window.json, models.dev). Unknown means unstated, not absent.

Prompt-cache break-even

reuse the same prefix ≥ 2 times and caching wins

Writing a prefix to cache costs a premium, but each subsequent hit reads at $0.50/M instead of $5.00/M. For this model the crossover is 2 reuses — past that, the same prompt keeps getting cheaper. TokenTriage's semantic cache is built to cross that line for you.

Capabilities

7 documented as supported

Input & output

✓Vision

✓PDF input

?Audio input

?Audio output

API behaviour

?Streaming

✓Structured output

✓Prompt caching

✓Reasoning

Agents & tools

✓Function calling

?Parallel tool calls

?Web search

✓Computer use

✓ supported ·✕ not supported ·? not documented ·⚠ sources disagree. A models.dev tag means the LiteLLM catalog was silent and an independent source supplied the value (lower confidence); ? is never silently turned into a confident ✕.

Estimate a request

disjoint token buckets · input = fresh (uncached) tokens

Preset

Input tokens

Output tokens

Cached input

Cache write

Reasoning

Requests / month

Cost / request—

Projected / month—

How output length drives the bill

at a 1K-token prompt · cost scales linearly with output

Output tokens overtake input spend at ~200 tokens for this model — past that, generation is your bill, whatever the headline input price says. Computed by the same cost engine as the estimate above.

Compare Anthropic.claude Opus 4.8 with other models →

Route to Anthropic.claude Opus 4.8

OpenAI-compatible · one base URL

curl https://YOUR-TOKENTRIAGE-HOST/v1/chat/completions \
  -H "Authorization: Bearer $TOKENTRIAGE_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "bedrock_converse/anthropic.claude-opus-4-8",
    "messages": [{"role": "user", "content": "Hello"}]
  }'from openai import OpenAI

client = OpenAI(
    base_url="https://YOUR-TOKENTRIAGE-HOST/v1",
    api_key="YOUR_TOKENTRIAGE_KEY",
)

resp = client.chat.completions.create(
    model="bedrock_converse/anthropic.claude-opus-4-8",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)

Point your existing OpenAI client at your TokenTriage host and pass the catalog key as the model. TokenTriage attributes the real cost per request and can route to a cheaper model once it's proven just as good on your traffic.

Data & API

machine-readable · rev 179affb

Pull this model's pricing, capabilities, benchmarks and cross-source provenance programmatically — every field carries the snapshot rev, and unknown is null, never 0. Free to reuse with attribution: benchmarks & Capabilities Index © Epoch AI (CC-BY (Epoch AI)); human-preference Elo © LMArena (CC-BY-4.0); capability & price cross-check via models.dev v2 (MIT) · Portkey (MIT) · TrueFoundry (MIT); open-weights facts via Hugging Face (per-repo license).

bedrock-converse-anthropic-claude-opus-4-8.json bedrock-converse-anthropic-claude-opus-4-8.csv

A price is a guess until it meets your traffic.

This page tells you what Anthropic.claude Opus 4.8 charges per token. TokenTriage tells you what it costs on your real requests — and cuts the bill only after proving a cheaper model is just as good.

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