Accounts Fireworks Models Qwen3 Reranker 0p6b

Fireworks AI rerank

Accounts Fireworks Models Qwen3 Reranker 0p6b is a Fireworks AI rerank model.It supports a 40,960-token context windowwith up to 40,960 output tokens. Route Accounts Fireworks Models Qwen3 Reranker 0p6b via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: unknown Last verified: May 12, 2026 View source ↗
Pricing not yet public

We don't have verified per-token pricing for Accounts Fireworks Models Qwen3 Reranker 0p6b yet. If you have a source from Fireworks AI's documentation, help us add it — your submission gets reviewed within 48 hours.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified May 12, 2026.

Input
Output

Limits

Context window
40,960 tokens
Max input
40,960 tokens
Max output
40,960 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-context work — the largest context window of any rerank model on Future AGI (40,960 tokens)
  • +long-form generation — 40,960-token max output, top-0% of peers

Watch out for

  • No major caveats flagged from public spec.

Benchmarks pending

We haven't logged public benchmark scores for Accounts Fireworks Models Qwen3 Reranker 0p6b yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Accounts Fireworks Models Qwen3 Reranker 0p6b 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.
# Accounts Fireworks Models Qwen3 Reranker 0p6b 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-qwen3-reranker-0p6b",
    messages=[{"role": "user", "content": "Hello, Accounts Fireworks Models Qwen3 Reranker 0p6b!"}],
)

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-qwen3-reranker-0p6b",
    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 ↗

Compare with similar models

Accounts Fireworks Models Qwen3 Reranker 0p6b doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark.

FAQ

How much does Accounts Fireworks Models Qwen3 Reranker 0p6b cost?

Public per-token pricing for Accounts Fireworks Models Qwen3 Reranker 0p6b is not yet published. Submit a source on this page to help us add it.

What is the context window of Accounts Fireworks Models Qwen3 Reranker 0p6b?

Accounts Fireworks Models Qwen3 Reranker 0p6b supports a 40,960-token context window with up to 40,960 output tokens.

Does Accounts Fireworks Models Qwen3 Reranker 0p6b support function calling?

Accounts Fireworks Models Qwen3 Reranker 0p6b 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 Qwen3 Reranker 0p6b good for production?

Accounts Fireworks Models Qwen3 Reranker 0p6b is well-suited for long-context work — the largest context window of any rerank model on Future AGI (40,960 tokens) and long-form generation — 40,960-token max output, top-0% of peers.

How can I route to Accounts Fireworks Models Qwen3 Reranker 0p6b 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 Qwen3 Reranker 0p6b

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