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GPT-5.4 vs Gemini 3.1 Pro: Which AI Model Should You Choose?

Pricing, context windows, latency, capabilities, and a one-line code switch — everything you need to pick the right model.

OpenAI
Multimodal
vs
Google
Multimodal
Verdict

GPT-5.4 and Gemini 3.1 Pro are closely matched on pricing and context. The right choice depends on your specific workload — see the table below for the full breakdown.

Side-by-side specs

SpecGPT-5.4Gemini 3.1 Pro
ProviderOpenAIGoogle
CategoryMultimodalMultimodal
Input cost / 1M tokens$3.00$2.40
Output cost / 1M tokens$18.00$14.40
Context window1.1M tokens1.0M tokens
Max output tokens128,00065,536
Avg. latency——
FeaturedYesYes
NewYesYes
Capabilities
text
image
text
image
audio
video

Pricing example

A typical chat workload of 100,000 input tokens plus 50,000 output tokens.

GPT-5.4
$1.20

100K in × $3.00 + 50K out × $18.00

Gemini 3.1 Pro
$0.96

100K in × $2.40 + 50K out × $14.40

For this workload, Gemini 3.1 Pro is cheaper than GPT-5.4 by $0.24 per request.

Switch in one line

Both models live behind Railwail's OpenAI-compatible endpoint. Replace the model string and you are done.

JavaScript / TypeScript
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.RAILWAIL_API_KEY,
  baseURL: "https://railwail.com/v1",
});

// Before — using GPT-5.4
let r = await client.chat.completions.create({
  model: "gpt-5.4",
  messages: [{ role: "user", content: "Hello" }],
});

// After — switched to Gemini 3.1 Pro
r = await client.chat.completions.create({
  model: "gemini-3.1-pro-preview",
  messages: [{ role: "user", content: "Hello" }],
});
Python
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["RAILWAIL_API_KEY"],
    base_url="https://railwail.com/v1",
)

# Before — using GPT-5.4
r = client.chat.completions.create(
    model="gpt-5.4",
    messages=[{"role": "user", "content": "Hello"}],
)

# After — switched to Gemini 3.1 Pro
r = client.chat.completions.create(
    model="gemini-3.1-pro-preview",
    messages=[{"role": "user", "content": "Hello"}],
)
cURL
# Before — using GPT-5.4
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.4",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

# After — switched to Gemini 3.1 Pro
curl https://railwail.com/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3.1-pro-preview",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Which one wins for...

Quick verdicts derived from public specs. Always validate on your own workload.

Coding
GPT-5.4

Higher coding category match or larger context wins.

Writing
GPT-5.4

Bigger context window helps maintain long-form coherence.

Long documents
GPT-5.4

The larger context window is the deciding factor.

Vision
Tie

Multimodal/vision support is required for image inputs.

Real-time chat
Tie

Lower average latency wins for interactive UX.

Cost-sensitive
Gemini 3.1 Pro

The model with the lower input-token price wins.

Frequently asked questions

Which is cheaper, GPT-5.4 or Gemini 3.1 Pro?
Gemini 3.1 Pro is cheaper. On a 100K input + 50K output example, Gemini 3.1 Pro costs about $0.96 versus $1.20 for GPT-5.4 — a saving of $0.24.
Which has more context, GPT-5.4 or Gemini 3.1 Pro?
GPT-5.4 has the larger context window at 1.1M tokens, compared to 1.0M tokens for Gemini 3.1 Pro.
Is GPT-5.4 better than Gemini 3.1 Pro for coding?
For coding-heavy workloads we lean toward GPT-5.4 on this comparison — it scores higher on the relevant heuristics (category, tags, or context window). Both models are usable for code via Railwail's OpenAI-compatible endpoint, so the safest path is to A/B test on your own prompts.
Can I use both GPT-5.4 and Gemini 3.1 Pro via Railwail?
Yes. Both GPT-5.4 and Gemini 3.1 Pro are accessible through a single Railwail API key and the OpenAI-compatible /v1/chat/completions endpoint. You only change the "model" parameter to switch between them — no SDK swap, no separate billing.
How do I switch from GPT-5.4 to Gemini 3.1 Pro?
Replace the model identifier "gpt-5.4" with "gemini-3.1-pro-preview" in your request payload. Everything else — API key, base URL, request shape — stays the same. See the code example on this page for the exact one-line change.

Try GPT-5.4 and Gemini 3.1 Pro side by side

One API key, one endpoint, both models. Start free — no credit card required.

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