Apply your own routing policies, reduce token costs automatically, and see every routing decision in real time with Merge Gateway.
What Grok 4 Fast Non-Reasoning costs to run
Test Grok 4 Fast Non-Reasoning
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See a prompt's output, token spend, latency, and more with Grok 4 Fast Non-Reasoning.
Route requests to Grok 4 Fast Non-Reasoning in minutes
1$ pip install merge-gateway-sdk1from merge_gateway import MergeGateway
2
3client = MergeGateway(api_key="YOUR_API_KEY")
4
5response = client.responses.create(
6 model="openai/gpt-5.2",
7 input=[
8 {"type": "message", "role": "system", "content": "You are a helpful programming tutor. Explain the concepts clearly with practical examples."},
9 {"type": "message", "role": "user", "content": "Explain the concept of recursion in programming with a simple set of examples."},
10 ],
11)
12
13print(response.output[0].content[0].text)1response = client.responses.create(
2 model="anthropic/claude-sonnet-4-20250514",
3 input=[
4 {"type": "message", "role": "system", "content": "You are a helpful programming tutor. Explain the concepts clearly with practical examples."},
5 {"type": "message", "role": "user", "content": "Explain the concept of recursion in programming with a simple set of examples."},
6 ],
7)1from openai import OpenAI
2
3client = OpenAI(
4 api_key="YOUR_API_KEY",
5 base_url="https://api-gateway.merge.dev/v1/openai",
6)1response = client.chat.completions.create(
2 model="gpt-5.2",
3 messages=[
4 {"role": "system", "content": "You are a helpful programming tutor. Explain the concepts clearly with practical examples."},
5 {"role": "user", "content": "Explain the concept of recursion in programming with a simple set of examples."},
6 ],
7)
8
9print(response.choices[0].message.content)1npm install merge-gateway-ai-sdk-provider ai1import { createMergeGateway } from "merge-gateway-ai-sdk-provider";
2
3const gateway = createMergeGateway({
4 apiKey: "YOUR_API_KEY",
5});1import { generateText } from "ai";
2
3const { text } = await generateText({
4 model: gateway("openai/gpt-4o"),
5 prompt: "Explain the concept of recursion in programming with a simple set of examples.",
6});
7
8console.log(text);1import { createOpenAI } from "@ai-sdk/openai";
2
3const gateway = createOpenAI({
4 apiKey: "YOUR_API_KEY",
5 baseURL: "https://api-gateway.merge.dev/v1/ai-sdk",
6});
7
8// All generateText/streamText calls work unchanged1from anthropic import Anthropic
2
3client = Anthropic(
4 api_key="YOUR_API_KEY",
5 base_url="https://api-gateway.merge.dev/v1/anthropic",
6)
7
8message = client.messages.create(
9 model="claude-sonnet-4-20250514",
10 max_tokens=1024,
11 messages=[
12 {"role": "user", "content": "Explain the concept of recursion in programming with a simple set of examples."},
13 ],
14)
15
16print(message.content[0].text)Explore other models available in Merge Gateway
Grok 4 Fast Non-Reasoning FAQ
Heading
What other models does xAI offer?
Grok 4 Fast Non-reasoning is one model in xAI's Grok lineup, which spans low-cost fast tiers and frontier reasoning flagships. Here are some other models xAI supports:
- Grok 4 Fast Reasoning: the reasoning sibling of this model, sharing the 2M-token context window and low pricing but adding extended thinking for multi-step problems
- Grok 4.1 Fast: the newer fast tier and xAI's best tool-calling model, with a 2M-token context window tuned for agentic tasks
- Grok 4.3: the flagship reasoning model with a 1M-token context window, priced around $1.25 per 1M input and $2.50 per 1M output
- Grok 4: the base reasoning model of the Grok 4 generation with a 256K-token context window and always-on reasoning
- Grok 3: an older non-reasoning general-purpose model for instruction following and text generation
How does Grok 4 Fast Non-reasoning differ from xAI's other models?
Grok 4 Fast Non-reasoning is the low-latency, low-cost tier that skips extended thinking for speed on straightforward tasks.
- No reasoning mode: answers directly without chain-of-thought, unlike Grok 4 Fast Reasoning, Grok 4, and Grok 4.3, which trades peak problem-solving for faster, cheaper responses
- Context window: 2M tokens, matching Grok 4 Fast Reasoning and Grok 4.1 Fast and far above Grok 4's 256K
- Pricing: approximately $0.20 per 1M input and $0.50 per 1M output, among the cheapest tiers in the Grok lineup
- Benchmark position: scores below the Grok 4 Fast Reasoning variant on the Artificial Analysis Intelligence Index, since it forgoes extended thinking
- Modality: accepts text and image input and returns text
Grok 4 Fast Non-reasoning is best for high-volume, latency-sensitive tasks like classification, extraction, and simple generation where extended reasoning is unnecessary.
What models should I consider using alongside Grok 4 Fast Non-reasoning?
No single model is optimal for every task. Here are models worth pairing with Grok 4 Fast Non-reasoning depending on what your product needs:
- Grok 4 Fast Reasoning as the escalation path when a task turns out to need multi-step reasoning the non-reasoning tier can't handle well
- Claude Opus 4.8 for the hardest reasoning or coding work where output quality is the priority
- Gemini 3.1 Pro for long-context multimodal tasks that exceed simple classification or extraction
- Grok 4.1 Fast when a workflow needs reliable tool-calling and agentic behavior rather than raw fast inference
- Gemini 3.5 Flash as an alternative low-cost, high-speed model to benchmark against on your own traffic
What are the challenges of using Grok 4 Fast Non-reasoning in my product?
Like any production LLM, Grok 4 Fast Non-reasoning comes with tradeoffs worth planning for:
- Reasoning ceiling: without extended thinking, quality drops on multi-step logic, complex math, and structured problem decomposition, so route those tasks to a reasoning model
- Provider dependency: relying only on xAI creates fragility during outages or model retirements
- Cost at scale: cheap per token, but very high request volumes still compound, so budgeting stays important
- Speed visibility: Artificial Analysis does not publish an output-speed figure for this model, so confirm latency against your workload
- Newer sibling: xAI positions Grok 4.1 Fast as the successor fast tier, so evaluate whether to start there before building around this model
Why should I use Merge Gateway to route LLM requests with Grok 4 Fast Non-reasoning and every other model?
Routing Grok 4 Fast Non-reasoning through Merge Gateway pairs the model with the infrastructure you'd otherwise build yourself:
- One API, every provider: Call Grok 4 Fast Non-reasoning and every other major model from a single endpoint and key, switching models with a string change rather than a code change
- Intelligent routing and automatic failover: Merge fails over around xAI outages on its own, and a non-reasoning-to-reasoning quality ladder is easy to express as a routing policy that can cut spend 40 to 60%
- Cost governance: Cap spend with project budgets and see every request attributed by model, project, and tag in one cross-provider dashboard
- Build Your Own Router: Weight your own evals so the router keeps easy tasks on this fast tier and escalates only when needed, explaining each pick
- Security and compliance controls: Run DLP and prompt injection checks before requests reach xAI, and enforce per-project model and region rules centrally
How can I start routing requests to Grok 4 Fast Non-reasoning via Merge Gateway?
Getting Grok 4 Fast Non-reasoning running through Merge Gateway takes a few minutes:
1. Create an account and get your API key from the dashboard.
2. Install the Merge Gateway SDK: run pip install merge-gateway-sdk (Python) or npm install merge-gateway-sdk (Node). Alternatively, if you're already using the OpenAI SDK, set base_url = "https://api-gateway.merge.dev/v1/openai" and your existing code works as-is.
3. Make your first request using the provider/model format. For Grok 4 Fast Non-reasoning, the model string is xai/grok-4-fast-non-reasoning. Swap the model string to route to any other provider without changing anything else.
4. Configure a routing policy in the dashboard to set failover behavior, cost limits, and optimization strategy. Your first policy can be as simple as naming Grok 4 Fast Non-reasoning as primary with one fallback.
Full setup instructions and SDK references are in the Merge Gateway docs.
Try Grok 4 Fast Non-Reasoning through Merge Gateway
Route, observe, and control AI requests across providers from one API.
