Perplexity DeepSeek V4 Pro 0813

Perplexity responses

Perplexity DeepSeek V4 Pro 0813 is a Perplexity responses-API model.Input is priced at $1.32/M tokens and output at $3.96/M tokens. Route Perplexity DeepSeek V4 Pro 0813 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: litellm Last verified: Oct 22, 2026 View source ↗
Cost calculator

Estimate Perplexity DeepSeek V4 Pro 0813 spend

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

~3K in / ~400 out · 5K req/day
3,000
0200,000
400
016,000
5,000
01,000,000
cached @ $0.0440/M
Per request
$0.005544
in $0.003960 · out $0.001584
Per day
$27.72
5,000 requests
Per month
$844
152,188 requests

Estimate uses $1.32/M input · $3.96/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 $1.32/M
Output $3.96/M
Blended (3:1 in:out) $1.98/M
Cross-model comparable price
Cached input $0.0440/M

Context & limits

Context window
—
Max input
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Max output
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Modalities
text

Capabilities

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

Benchmarks pending

We haven't logged public benchmark scores for Perplexity DeepSeek V4 Pro 0813 yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Perplexity DeepSeek V4 Pro 0813 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.
# Perplexity DeepSeek V4 Pro 0813 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="perplexity/perplexity-deepseek-v4-pro-0813",
    messages=[{"role": "user", "content": "Hello, Perplexity DeepSeek V4 Pro 0813!"}],
)

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="perplexity/perplexity-deepseek-v4-pro-0813",
    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 ↗

Explore similar models

Perplexity DeepSeek V4 Pro 0813 doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark. Side-by-side links appear where a comparison page exists; otherwise, open the model profile.

FAQ

How much does Perplexity DeepSeek V4 Pro 0813 cost?

Input is priced at $1.32 per 1M tokens and output at $3.96 per 1M tokens (Perplexity, last verified Oct 22, 2026).

What is the context window of Perplexity DeepSeek V4 Pro 0813?

Context window for Perplexity DeepSeek V4 Pro 0813 is not currently public.

Does Perplexity DeepSeek V4 Pro 0813 support function calling?

Perplexity DeepSeek V4 Pro 0813 does not currently advertise function-calling support. For agentic workloads, prefer a tool-calling-capable model and route via Agent Command Center for fallback.

Is Perplexity DeepSeek V4 Pro 0813 good for production?

Perplexity DeepSeek V4 Pro 0813 is best evaluated against your own production traces. Pipe traffic through Agent Command Center to compare it head-to-head against alternatives in shadow mode.

How can I route to Perplexity DeepSeek V4 Pro 0813 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 Perplexity DeepSeek V4 Pro 0813

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