Accounts Fireworks Models Whisper V3 Turbo

Fireworks AI audio transcription

Accounts Fireworks Models Whisper V3 Turbo is a Fireworks AI speech-to-text model.It supports a 4,096-token context windowwith up to 4,096 output tokens. Route Accounts Fireworks Models Whisper V3 Turbo 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 Whisper V3 Turbo 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
4,096 tokens
Max input
4,096 tokens
Max output
4,096 tokens
Modalities
audio, 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 — 4,096-token max output, top-0% of peers

Watch out for

  • !small context (under 16K tokens)

Benchmarks pending

We haven't logged public benchmark scores for Accounts Fireworks Models Whisper V3 Turbo yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Accounts Fireworks Models Whisper V3 Turbo 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 Whisper V3 Turbo 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-whisper-v3-turbo",
    messages=[{"role": "user", "content": "Hello, Accounts Fireworks Models Whisper V3 Turbo!"}],
)

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-whisper-v3-turbo",
    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 Whisper V3 Turbo 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 Whisper V3 Turbo cost?

Public per-token pricing for Accounts Fireworks Models Whisper V3 Turbo is not yet published. Submit a source on this page to help us add it.

What is the context window of Accounts Fireworks Models Whisper V3 Turbo?

Accounts Fireworks Models Whisper V3 Turbo supports a 4,096-token context window with up to 4,096 output tokens.

Does Accounts Fireworks Models Whisper V3 Turbo support function calling?

Accounts Fireworks Models Whisper V3 Turbo 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 Whisper V3 Turbo good for production?

Accounts Fireworks Models Whisper V3 Turbo is well-suited for long-form generation — 4,096-token max output, top-0% of peers. Consider alternatives if you need small context (under 16K tokens).

How can I route to Accounts Fireworks Models Whisper V3 Turbo 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 Whisper V3 Turbo

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