GPT 3.5 Turbo Instruct 0914

Azure OpenAI completion

GPT 3.5 Turbo Instruct 0914 is an Azure OpenAI text completion model.It supports a 4,097-token context window.Input is priced at $1.50/M tokens and output at $2.00/M tokens. Route GPT 3.5 Turbo Instruct 0914 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: litellm Last verified: May 12, 2026 View source ↗
Cost calculator

Estimate GPT 3.5 Turbo Instruct 0914 spend

Pick a workload, fine-tune the sliders, and see the monthly bill.

~3K in / ~400 out · 5K req/day
3,000
08,000
400
016,000
5,000
01,000,000
Per request
$0.005300
in $0.004500 · out $0.000800
Per day
$26.50
5,000 requests
Per month
$807
152,188 requests

Estimate uses $1.50/M input · $2.00/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 $1.50/M
Output $2.00/M

Limits

Context window
4,097 tokens
Max input
4,097 tokens
Max output
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

Watch out for

  • !small context (under 16K tokens)

Benchmarks pending

We haven't logged public benchmark scores for GPT 3.5 Turbo Instruct 0914 yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call GPT 3.5 Turbo Instruct 0914 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.
# GPT 3.5 Turbo Instruct 0914 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="azure-openai/gpt-3-5-turbo-instruct-0914",
    messages=[{"role": "user", "content": "Hello, GPT 3.5 Turbo Instruct 0914!"}],
)

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="azure-openai/gpt-3-5-turbo-instruct-0914",
    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 ↗

Same model on other providers

gpt-3-5-turbo-instruct-0914 is also available via 1 other route. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
OpenAI$1.50/M$2.00/MMay 12, 2026

Compare with similar models

GPT 3.5 Turbo Instruct 0914 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 GPT 3.5 Turbo Instruct 0914 cost?

Input is priced at $1.50 per 1M tokens and output at $2.00 per 1M tokens (Azure OpenAI, last verified May 12, 2026).

What is the context window of GPT 3.5 Turbo Instruct 0914?

GPT 3.5 Turbo Instruct 0914 supports a 4,097-token context window.

Does GPT 3.5 Turbo Instruct 0914 support function calling?

GPT 3.5 Turbo Instruct 0914 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 GPT 3.5 Turbo Instruct 0914 good for production?

GPT 3.5 Turbo Instruct 0914 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 GPT 3.5 Turbo Instruct 0914 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 GPT 3.5 Turbo Instruct 0914

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