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Gemini 3.8 Live Extended Thinking vs GPT-5.6 Luna

Pricing verdict: Gemini 3.8 Live Extended Thinking vs GPT-5.6 Luna: Gemini 3.8 Live Extended Thinking is cheaper for input-heavy usage ($0.75/M vs $1.00/M input tokens), while GPT-5.6 Luna is better for long-context tasks (1,050,000 tokens).

Direct answer: choose Gemini 3.8 Live Extended Thinking for lower token spend and choose GPT-5.6 Luna 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-5.6 Luna

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-5.6 Luna

Per Request:$0.004000
Daily:$0.40
Monthly:$12.00
Yearly:$146.00

Cost Differences

+$0.001000
Per Request
+$0.10
Daily
+$3.00
Monthly
+$36.50
Yearly

GPT-5.6 Luna costs more than Gemini 3.8 Live Extended Thinking

Quick Recommendation

Winner for direct API pricing: Gemini 3.8 Live Extended Thinking. At the default workload, Gemini 3.8 Live Extended Thinking saves about $3.00/month ($36.50/year) versus GPT-5.6 Luna.

Feature Comparison

FeatureGemini 3.8 Live Extended ThinkingGPT-5.6 Luna
ProviderGoogleOpenAI
Input Price$0.75/1M tokens$1.00/1M tokens
Output Price$4.50/1M tokens$6.00/1M tokens
Context Window131,072 tokens1,050,000 tokens
Max Output65,536 tokens128,000 tokens
Categoryreasoningefficient
Capabilities
textvisionaudiovideoreasoningstreaming
textvisioncodereasoning
Release Date9/15/20266/26/2026

Gemini 3.8 Live Extended Thinking vs GPT-5.6 Luna: Which Should You Choose?

Choosing between Gemini 3.8 Live Extended Thinking and GPT-5.6 Luna depends on your priorities: cost efficiency, context length, or raw capability. Gemini 3.8 Live Extended Thinking is the more affordable option at $0.75/1M input tokens — 25% cheaper than GPT-5.6 Luna. Meanwhile, GPT-5.6 Luna offers a significantly larger context window at 1,050,000 tokens vs 131,072 for Gemini 3.8 Live Extended Thinking.

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-5.6 Luna 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-5.6 Luna offers better value for routine operations.

Output costs matter too. Gemini 3.8 Live Extended Thinking charges $4.50/1M output tokens vs $6.00 for GPT-5.6 Luna. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Gemini 3.8 Live Extended Thinking has the edge here at $4.50/1M output tokens.

Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.

Best Use Cases

Choose Gemini 3.8 Live Extended Thinking when:

  • • Budget is a primary concern
  • • You need more capabilities (audio, video, streaming)
  • • You're already using Google's API ecosystem

Choose GPT-5.6 Luna when:

  • • You need a larger context window (1,050,000 tokens)
  • • You need longer outputs (up to 128,000 tokens)
  • • 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

  • Smaller context window than GPT-5.6 Luna

GPT-5.6 Luna

  • Input pricing: $1.00/M tokens
  • Output pricing: $6.00/M tokens
  • Context window: 1,050,000 tokens
  • Max output: 128,000 tokens

Watch out for

  • Higher input cost than Gemini 3.8 Live Extended Thinking
  • Higher output cost 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-5.6 Luna (OpenAI)

Start using Gemini 3.8 Live Extended Thinking today

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Start using GPT-5.6 Luna today

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Frequently Asked Questions

Which is cheaper, Gemini 3.8 Live Extended Thinking or GPT-5.6 Luna?
Gemini 3.8 Live Extended Thinking is cheaper for input tokens at $0.75 per million tokens vs $1.00 for GPT-5.6 Luna — that's 25% savings on input costs.
What is the context window difference between Gemini 3.8 Live Extended Thinking and GPT-5.6 Luna?
Gemini 3.8 Live Extended Thinking supports 131,072 tokens while GPT-5.6 Luna supports 1,050,000 tokens — a difference of 918,928 tokens in favor of GPT-5.6 Luna.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Gemini 3.8 Live Extended Thinking is the lower-cost option, while GPT-5.6 Luna offers a larger context window (1,050,000 vs 131,072 tokens). Choose Gemini 3.8 Live Extended Thinking for budget sensitivity or GPT-5.6 Luna 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-5.6 Luna costs about $12.00/month. Overall, Gemini 3.8 Live Extended Thinking has lower combined input + output rates ($0.75 in, $4.50 out) vs GPT-5.6 Luna.
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.

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