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Codex Mini vs Gemini 3.8 Live Extended Thinking

Pricing verdict: Codex Mini vs Gemini 3.8 Live Extended Thinking: Gemini 3.8 Live Extended Thinking is cheaper for input-heavy usage ($0.75/M vs $1.50/M input tokens), while Codex Mini is better for long-context tasks (200,000 tokens).

Direct answer: choose Gemini 3.8 Live Extended Thinking for lower token spend and choose Codex Mini 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.

OpenAI
Codex Mini
vs
Google
Gemini 3.8 Live Extended Thinking

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

Codex Mini

Per Request:$0.004500
Daily:$0.45
Monthly:$13.50
Yearly:$164.25

Gemini 3.8 Live Extended Thinking

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

Cost Differences

$0.001500
Per Request
$0.15
Daily
$4.50
Monthly
$54.75
Yearly

Gemini 3.8 Live Extended Thinking costs less than Codex Mini

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 $4.50/month ($54.75/year) versus Codex Mini.

Feature Comparison

FeatureCodex MiniGemini 3.8 Live Extended Thinking
ProviderOpenAIGoogle
Input Price$1.50/1M tokens$0.75/1M tokens
Output Price$6.00/1M tokens$4.50/1M tokens
Context Window200,000 tokens131,072 tokens
Max Output32,768 tokens65,536 tokens
Categoryefficientreasoning
Capabilities
textcodereasoning
textvisionaudiovideoreasoningstreaming
Release Date2/2/20269/15/2026

Codex Mini vs Gemini 3.8 Live Extended Thinking: Which Should You Choose?

Choosing between Codex Mini and Gemini 3.8 Live Extended Thinking 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 — 50% cheaper than Codex Mini. Meanwhile, Codex Mini offers a significantly larger context window at 200,000 tokens vs 131,072 for Gemini 3.8 Live Extended Thinking.

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

These models target different tiers: Codex Mini is a efficient model while Gemini 3.8 Live Extended Thinking is reasoning. This means they're optimized for different workloads. Gemini 3.8 Live Extended Thinking targets more demanding workloads, while Codex Mini provides a cost-effective option for everyday tasks.

Output costs matter too. Codex Mini charges $6.00/1M output tokens vs $4.50 for Gemini 3.8 Live Extended Thinking. 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: Gemini 3.8 Live Extended Thinking supports vision (image inputs) while Codex Mini is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Codex Mini when:

  • • You need a larger context window (200,000 tokens)
  • • You're already using OpenAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Gemini 3.8 Live Extended Thinking when:

  • • Budget is a primary concern
  • • You need more capabilities (vision, audio, video, streaming)
  • • You need longer outputs (up to 65,536 tokens)
  • • You're already using Google's API ecosystem

Pros and Caveats at a Glance

Codex Mini

  • Input pricing: $1.50/M tokens
  • Output pricing: $6.00/M tokens
  • Context window: 200,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Higher input cost than Gemini 3.8 Live Extended Thinking
  • Higher output cost than Gemini 3.8 Live Extended Thinking

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 Codex Mini

Try Different Scenarios

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

Codex Mini (OpenAI)

Gemini 3.8 Live Extended Thinking (Google)

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Start using Gemini 3.8 Live Extended Thinking today

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Frequently Asked Questions

Which is cheaper, Codex Mini or Gemini 3.8 Live Extended Thinking?
Gemini 3.8 Live Extended Thinking is cheaper for input tokens at $0.75 per million tokens vs $1.50 for Codex Mini — that's 50% savings on input costs.
What is the context window difference between Codex Mini and Gemini 3.8 Live Extended Thinking?
Codex Mini supports 200,000 tokens while Gemini 3.8 Live Extended Thinking supports 131,072 tokens — a difference of 68,928 tokens in favor of Codex Mini.
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 Codex Mini offers a larger context window (200,000 vs 131,072 tokens). Choose Gemini 3.8 Live Extended Thinking for budget sensitivity or Codex Mini 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, Codex Mini costs about $13.50/month and Gemini 3.8 Live Extended Thinking costs about $9.00/month. Overall, Gemini 3.8 Live Extended Thinking has lower combined input + output rates ($0.75 in, $4.50 out) vs Codex Mini.
Where can I compare OpenAI and Google API pricing beyond this model matchup?
See the OpenAI vs Google provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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