Claude Fable 5

Anthropic chat

Claude Fable 5 is an Anthropic chat model.It supports a 1,000,000-token context windowwith up to 128,000 output tokens.Input is priced at $10.00/M tokens and output at $50.00/M tokens. Capabilities include function calling, vision, reasoning, prompt caching. Route Claude Fable 5 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: litellm Last verified: Aug 6, 2026 View source ↗
Cost calculator

Estimate Claude Fable 5 spend

Pick a workload, fine-tune the sliders, and see the monthly bill.

~3K in / ~400 out · 5K req/day
3,000
01,000,000
400
0128,000
5,000
01,000,000
cached @ $1.00/M
Per request
$0.0500
in $0.0300 · out $0.0200
Per day
$250
5,000 requests
Per month
$7,609
152,188 requests

Estimate uses $10.00/M input · $50.00/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.

Cheaper at a similar Arena tier

Claude Opus 4.6 (2026-02-05) (Anthropic) sits in the same Chatbot Arena tier (±80 ELO of Claude Fable 5) and runs ~50% cheaper for a typical RAG workload — $3,805/mo vs $7,609/mo at 3K in / 400 out · 5K reqs/day.

Quality match is gated on real benchmarks; the CTA disappears when no comparable peer exists.

Compare side-by-side →

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified Aug 6, 2026.

Input $10.00/M
Output $50.00/M
Blended (3:1 in:out) $20.00/M
Cross-model comparable price
Cached input $1.00/M

Context & limits

Context window
1,000,000 tokens
Max input
1,000,000 tokens
Max output
128,000 tokens
Modalities
vision, pdf, text

Capabilities

  • Function calling ✓ supported
  • Parallel tool calls — not advertised
  • Vision input ✓ supported
  • Audio input — not advertised
  • Audio output — not advertised
  • PDF input ✓ supported
  • Streaming ✓ supported
  • Structured output ✓ supported
  • Prompt caching ✓ supported
  • Reasoning ✓ supported

Strengths & caveats — when to pick Claude Fable 5

Data-driven from Claude Fable 5's percentile within chat peers.

Where it's strong

  • +pricing — cheaper than 96% of priced chat models on Future AGI
  • +long-context tasks — context window in the top 10% of peers
  • +PDF input — only 19% of chat models on Future AGI advertise this

Watch out for

  • No major caveats flagged from public spec.

Benchmark scores

Reported public benchmark numbers. Each row links to the source.

Chatbot Arena ELOgeneral· overall
Captured Aug 8, 2026
Try it

Call Claude Fable 5 via Agent Command Center

One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.

SDK
Native Future AGI client (agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.
# Claude Fable 5 via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC

client = AgentCC(
    api_key=os.environ["AGENTCC_API_KEY"],   # from app.futureagi.com → Settings → API Keys
    base_url="https://gateway.futureagi.com/v1",
)

resp = client.chat.completions.create(
    model="anthropic/claude-fable-5",
    messages=[{"role": "user", "content": "Hello, Claude Fable 5!"}],
)

print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")

# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
    model="anthropic/claude-fable-5",
    messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost:   ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache:  ", raw.headers.get("x-agentcc-cache"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗
Advanced: fallback + cache config (YAML)
strategy: cost-optimized
targets:
  - model: claude-fable-5
    provider: anthropic
    weight: 80
fallbacks:
  - model: claude-opus-4-6-20260205
    provider: anthropic
  - model: qwen3-8-max
    provider: dashscope
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true }

Same model on other providers

claude-fable-5 is also available via 2 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
Azure AI Foundry$10.00/M$50.00/MAug 6, 2026
Google Vertex AI$10.00/M$50.00/MAug 6, 2026

Compare with similar models

Grouped by Chatbot Arena tier (Claude Fable 5 sits at 1509 ELO).

FAQ

How much does Claude Fable 5 cost?

Input is priced at $10.00 per 1M tokens and output at $50.00 per 1M tokens (Anthropic, last verified Aug 6, 2026).

What is the context window of Claude Fable 5?

Claude Fable 5 supports a 1,000,000-token context window with up to 128,000 output tokens.

Does Claude Fable 5 support function calling?

Yes — Claude Fable 5 supports function (tool) calling.

Is Claude Fable 5 good for production?

Claude Fable 5 is well-suited for pricing — cheaper than 96% of priced chat models on Future AGI and long-context tasks — context window in the top 10% of peers.

How can I route to Claude Fable 5 with fallback?

Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.

Useful links for Claude Fable 5

Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.