Accounts Fireworks Models DeepSeek V3p1
Fireworks AI chatAccounts Fireworks Models DeepSeek V3p1 is a Fireworks AI chat model.It supports a 128,000-token context windowwith up to 8,192 output tokens.Input is priced at $0.560/M tokens and output at $1.68/M tokens. Capabilities include reasoning. Route Accounts Fireworks Models DeepSeek V3p1 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Accounts Fireworks Models DeepSeek V3p1 spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $0.5600/M input · $1.68/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 May 12, 2026.
| Input | $0.560/M | |
| Output | $1.68/M |
Limits
- Context window
- 128,000 tokens
- Max input
- 128,000 tokens
- Max output
- 8,192 tokens
- 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 ✓ supported
- Prompt caching — not advertised
- Reasoning ✓ supported
Where it's strong
- +multi-step reasoning and analysis tasks
Watch out for
- !agentic workflows — no advertised function-calling; use a tool-capable model and route via Agent Command Center for fallback
Benchmarks pending
We haven't logged public benchmark scores for Accounts Fireworks Models DeepSeek V3p1 yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Accounts Fireworks Models DeepSeek V3p1 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.# Accounts Fireworks Models DeepSeek V3p1 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="fireworks-ai/accounts-fireworks-models-deepseek-v3p1",
messages=[{"role": "user", "content": "Hello, Accounts Fireworks Models DeepSeek V3p1!"}],
)
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="fireworks-ai/accounts-fireworks-models-deepseek-v3p1",
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 ↗Compare with similar models
Accounts Fireworks Models DeepSeek V3p1 doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark.
- Accounts Fireworks Models Glm 4p6Fireworks AI · $0.550/M in · $2.19/M out · 202,800 ctx
- Accounts Fireworks Models Glm 4p7Fireworks AI · $0.600/M in · $2.20/M out · 202,800 ctx
- Glm 4p7Fireworks AI · $0.600/M in · $2.20/M out · 202,800 ctx
- Accounts Fireworks Models DeepSeek V3p2Fireworks AI · $0.560/M in · $1.68/M out · 163,840 ctx
FAQ
How much does Accounts Fireworks Models DeepSeek V3p1 cost?
Input is priced at $0.560 per 1M tokens and output at $1.68 per 1M tokens (Fireworks AI, last verified May 12, 2026).
What is the context window of Accounts Fireworks Models DeepSeek V3p1?
Accounts Fireworks Models DeepSeek V3p1 supports a 128,000-token context window with up to 8,192 output tokens.
Does Accounts Fireworks Models DeepSeek V3p1 support function calling?
Accounts Fireworks Models DeepSeek V3p1 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 Accounts Fireworks Models DeepSeek V3p1 good for production?
Accounts Fireworks Models DeepSeek V3p1 is well-suited for multi-step reasoning and analysis tasks. Consider alternatives if you need agentic workflows — no advertised function-calling; use a tool-capable model and route via Agent Command Center for fallback.
How can I route to Accounts Fireworks Models DeepSeek V3p1 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 Accounts Fireworks Models DeepSeek V3p1
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.