Skip to main content

Gemini 3.8 Live Extended Thinking vs GPT-4.1 nano

Pricing verdict: Gemini 3.8 Live Extended Thinking vs GPT-4.1 nano: GPT-4.1 nano is cheaper for input-heavy usage ($0.10/M vs $0.75/M input tokens), while Gemini 3.8 Live Extended Thinking is better for long-context tasks (131,072 tokens).

Direct answer: choose GPT-4.1 nano for lower token spend and choose Gemini 3.8 Live Extended Thinking when your workload needs longer context.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.

Google
Gemini 3.8 Live Extended Thinking
vs
OpenAI
GPT-4.1 nano

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Gemini 3.8 Live Extended Thinking

Per Request:$0.003000
Daily:$0.30
Monthly:$9.00
Yearly:$109.50

GPT-4.1 nano

Per Request:$0.000300
Daily:$0.03
Monthly:$0.90
Yearly:$10.95

Cost Differences

$0.002700
Per Request
$0.27
Daily
$8.10
Monthly
$98.55
Yearly

GPT-4.1 nano costs less than Gemini 3.8 Live Extended Thinking

Quick Recommendation

Winner for direct API pricing: GPT-4.1 nano. At the default workload, GPT-4.1 nano saves about $8.10/month ($98.55/year) versus Gemini 3.8 Live Extended Thinking.

Feature Comparison

FeatureGemini 3.8 Live Extended ThinkingGPT-4.1 nano
ProviderGoogleOpenAI
Input Price$0.75/1M tokens$0.10/1M tokens
Output Price$4.50/1M tokens$0.40/1M tokens
Context Window131,072 tokens128,000 tokens
Max Output65,536 tokens8,192 tokens
Categoryreasoningefficient
Capabilities
textvisionaudiovideoreasoningstreaming
text
Release Date9/15/20264/14/2025

Gemini 3.8 Live Extended Thinking vs GPT-4.1 nano: Which Should You Choose?

Choosing between Gemini 3.8 Live Extended Thinking and GPT-4.1 nano depends on your priorities: cost efficiency, context length, or raw capability. GPT-4.1 nano is the more affordable option at $0.10/1M input tokens — 87% cheaper than Gemini 3.8 Live Extended Thinking. Meanwhile, Gemini 3.8 Live Extended Thinking offers a significantly larger context window at 131,072 tokens vs 128,000 for GPT-4.1 nano.

These models come from different providers — Google and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Google, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: Gemini 3.8 Live Extended Thinking is a reasoning model while GPT-4.1 nano is efficient. This means they're optimized for different workloads. Gemini 3.8 Live Extended Thinking is built for complex tasks that require deeper reasoning, while GPT-4.1 nano offers better value for routine operations.

Output costs matter too. Gemini 3.8 Live Extended Thinking charges $4.50/1M output tokens vs $0.40 for GPT-4.1 nano. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-4.1 nano has the edge here at $0.40/1M output tokens.

Multimodal capabilities: Gemini 3.8 Live Extended Thinking supports vision (image inputs) while GPT-4.1 nano is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Gemini 3.8 Live Extended Thinking when:

  • • You need a larger context window (131,072 tokens)
  • • You need more capabilities (vision, audio, video, reasoning, streaming)
  • • You need longer outputs (up to 65,536 tokens)
  • • You're already using Google's API ecosystem

Choose GPT-4.1 nano when:

  • • Budget is a primary concern
  • • You're already using OpenAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Pros and Caveats at a Glance

Gemini 3.8 Live Extended Thinking

  • Input pricing: $0.75/M tokens
  • Output pricing: $4.50/M tokens
  • Context window: 131,072 tokens
  • Max output: 65,536 tokens

Watch out for

  • Higher input cost than GPT-4.1 nano
  • Higher output cost than GPT-4.1 nano

GPT-4.1 nano

  • Input pricing: $0.10/M tokens
  • Output pricing: $0.40/M tokens
  • Context window: 128,000 tokens
  • Max output: 8,192 tokens

Watch out for

  • Smaller context window than Gemini 3.8 Live Extended Thinking

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Gemini 3.8 Live Extended Thinking (Google)

GPT-4.1 nano (OpenAI)

Start using Gemini 3.8 Live Extended Thinking today

Sign Up for Google

Start using GPT-4.1 nano today

Sign Up for OpenAI

Frequently Asked Questions

Which is cheaper, Gemini 3.8 Live Extended Thinking or GPT-4.1 nano?
GPT-4.1 nano is cheaper for input tokens at $0.10 per million tokens vs $0.75 for Gemini 3.8 Live Extended Thinking — that's 87% savings on input costs.
What is the context window difference between Gemini 3.8 Live Extended Thinking and GPT-4.1 nano?
Gemini 3.8 Live Extended Thinking supports 131,072 tokens while GPT-4.1 nano supports 128,000 tokens — a difference of 3,072 tokens in favor of Gemini 3.8 Live Extended Thinking.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, GPT-4.1 nano is the lower-cost option, while Gemini 3.8 Live Extended Thinking offers a larger context window (131,072 vs 128,000 tokens). Choose GPT-4.1 nano for budget sensitivity or Gemini 3.8 Live Extended Thinking for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Gemini 3.8 Live Extended Thinking costs about $9.00/month and GPT-4.1 nano costs about $0.90/month. Overall, GPT-4.1 nano has lower combined input + output rates ($0.10 in, $0.40 out) vs Gemini 3.8 Live Extended Thinking.
Where can I compare Google and OpenAI API pricing beyond this model matchup?
See the Google vs OpenAI provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

Related Comparisons

Related Articles

Learn when to pick each model, then compare live pricing scenarios.