Accounts Fireworks Models DeepSeek R1 Distill Qwen 7B
Fireworks AI chatAccounts Fireworks Models DeepSeek R1 Distill Qwen 7B is a Fireworks AI chat model.It supports a 131,072-token context windowwith up to 131,072 output tokens.Input is priced at $0.200/M tokens and output at $0.200/M tokens. Route Accounts Fireworks Models DeepSeek R1 Distill Qwen 7B via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Accounts Fireworks Models DeepSeek R1 Distill Qwen 7B spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $0.2000/M input · $0.2000/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 | $0.200/M | |
| Output | $0.200/M |
Limits
- Context window
- 131,072 tokens
- Max input
- 131,072 tokens
- Max output
- 131,072 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 — not advertised
- Prompt caching — not advertised
- Reasoning — not advertised
Where it's strong
- +long-form generation — 131,072-token max output, top-10% of peers
Watch out for
- !agentic workflows — no advertised function-calling; use a tool-capable model and route via Agent Command Center for fallback
- !strict structured output — no JSON-schema enforcement, expect retry loops
Benchmarks pending
We haven't logged public benchmark scores for Accounts Fireworks Models DeepSeek R1 Distill Qwen 7B yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Accounts Fireworks Models DeepSeek R1 Distill Qwen 7B 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 R1 Distill Qwen 7B 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-r1-distill-qwen-7b",
messages=[{"role": "user", "content": "Hello, Accounts Fireworks Models DeepSeek R1 Distill Qwen 7B!"}],
)
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-r1-distill-qwen-7b",
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 R1 Distill Qwen 7B 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 R1 Distill Qwen 7B cost?
Input is priced at $0.200 per 1M tokens and output at $0.200 per 1M tokens (Fireworks AI, last verified May 12, 2026).
What is the context window of Accounts Fireworks Models DeepSeek R1 Distill Qwen 7B?
Accounts Fireworks Models DeepSeek R1 Distill Qwen 7B supports a 131,072-token context window with up to 131,072 output tokens.
Does Accounts Fireworks Models DeepSeek R1 Distill Qwen 7B support function calling?
Accounts Fireworks Models DeepSeek R1 Distill Qwen 7B 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 R1 Distill Qwen 7B good for production?
Accounts Fireworks Models DeepSeek R1 Distill Qwen 7B is well-suited for long-form generation — 131,072-token max output, top-10% of peers. 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 R1 Distill Qwen 7B 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 R1 Distill Qwen 7B
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.