Palmyra X4 v1.0 (US)
Amazon Bedrock chat Deprecates in 125d (Mar 9, 2027)model fallback routing to swap models without code changes.
Palmyra X4 v1.0 (US) is an Amazon Bedrock chat model.It supports a 128,000-token context windowwith up to 8,192 output tokens.Input is priced at $2.50/M tokens and output at $10.00/M tokens. Capabilities include function calling. Route Palmyra X4 v1.0 (US) via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Palmyra X4 v1.0 (US) spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $2.50/M input · $10.00/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.
Pricing
Per-token rates, expressed in USD per 1M tokens. Verified Oct 22, 2026.
| Input | $2.50/M | |
| Output | $10.00/M | |
| Blended (3:1 in:out) | $4.38/M Cross-model comparable price |
Context & limits
- Context window
- 128,000 tokens
- Max input
- 128,000 tokens
- Max output
- 8,192 tokens
- Modalities
- pdf, text
Capabilities
- Function calling ✓ supported
- Parallel tool calls — not advertised
- Vision input — not advertised
- Audio input — not advertised
- Audio output — not advertised
- PDF input ✓ supported
- Streaming ✓ supported
- Structured output — not advertised
- Prompt caching — not advertised
- Reasoning — not advertised
Strengths & caveats — when to pick Palmyra X4 v1.0 (US)
Data-driven from Palmyra X4 v1.0 (US)'s percentile within chat peers.
Where it's strong
- +pricing — cheaper than 80% of priced chat models on Future AGI
- +PDF input — only 18% of chat models on Future AGI advertise this
Watch out for
- !strict structured output — no JSON-schema enforcement, expect retry loops
- !scheduled deprecation on Mar 9, 2027 (125 days)
Benchmarks pending
We haven't logged public benchmark scores for Palmyra X4 v1.0 (US) yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Palmyra X4 v1.0 (US) 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.
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.# Palmyra X4 v1.0 (US) 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="bedrock/us-writer-palmyra-x4-v1-0",
messages=[{"role": "user", "content": "Hello, Palmyra X4 v1.0 (US)!"}],
)
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="bedrock/us-writer-palmyra-x4-v1-0",
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"))AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗Explore similar models
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FAQ
How much does Palmyra X4 v1.0 (US) cost?
Input is priced at $2.50 per 1M tokens and output at $10.00 per 1M tokens (Amazon Bedrock, last verified Oct 22, 2026).
What is the context window of Palmyra X4 v1.0 (US)?
Palmyra X4 v1.0 (US) supports a 128,000-token context window with up to 8,192 output tokens.
Does Palmyra X4 v1.0 (US) support function calling?
Yes — Palmyra X4 v1.0 (US) supports function (tool) calling.
Is Palmyra X4 v1.0 (US) good for production?
Palmyra X4 v1.0 (US) is well-suited for pricing — cheaper than 80% of priced chat models on Future AGI and PDF input — only 18% of chat models on Future AGI advertise this. Consider alternatives if you need strict structured output — no JSON-schema enforcement, expect retry loops.
How can I route to Palmyra X4 v1.0 (US) 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 Palmyra X4 v1.0 (US)
Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.
Third-party evals — verify the marketing.
Cross-check our number against the rest of the ecosystem.