Grok Voice Transcribe 1.0

xAI audio transcription Deprecated 33d ago
Heads-up: xAI has scheduled Grok Voice Transcribe 1.0 for deprecation on Oct 2, 2026. Plan a migration. Use Agent Command Center's model fallback routing to swap models without code changes.

Grok Voice Transcribe 1.0 is a xAI speech-to-text model. Route Grok Voice Transcribe 1.0 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: unknown Last verified: Oct 22, 2026 View source ↗
Pricing not yet public

We don't have verified per-token pricing for Grok Voice Transcribe 1.0 yet. If you have a source from xAI's documentation, help us add it — your submission gets reviewed within 48 hours.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified Oct 22, 2026.

Input —
Output —

Context & limits

Context window
—
Max input
—
Max output
—
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

Strengths & caveats — when to pick Grok Voice Transcribe 1.0

Data-driven from Grok Voice Transcribe 1.0's percentile within audio transcription peers.

Where it's strong

Watch out for

  • !already deprecated — provider stopped accepting new traffic 33 days ago

Benchmarks pending

We haven't logged public benchmark scores for Grok Voice Transcribe 1.0 yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Grok Voice Transcribe 1.0 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.
# Grok Voice Transcribe 1.0 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="xai/grok-voice-transcribe-1-0",
    messages=[{"role": "user", "content": "Hello, Grok Voice Transcribe 1.0!"}],
)

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="xai/grok-voice-transcribe-1-0",
    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

Grok Voice Transcribe 1.0 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 Grok Voice Transcribe 1.0 cost?

Public per-token pricing for Grok Voice Transcribe 1.0 is not yet published. Submit a source on this page to help us add it.

What is the context window of Grok Voice Transcribe 1.0?

Context window for Grok Voice Transcribe 1.0 is not currently public.

Does Grok Voice Transcribe 1.0 support function calling?

Grok Voice Transcribe 1.0 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 Grok Voice Transcribe 1.0 good for production?

Grok Voice Transcribe 1.0 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 Grok Voice Transcribe 1.0 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 Grok Voice Transcribe 1.0

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