Codex Mini vs Gemini Omni 1.1 Flash

Pricing verdict: Codex Mini vs Gemini Omni 1.1 Flash: input pricing is tied at $1.50/M, Codex Mini is cheaper for output-heavy usage ($6.00/M output), and Gemini Omni 1.1 Flash is better for long-context tasks (1,048,576 tokens).

Direct answer: input pricing is tied. Choose Codex Mini for cheaper output and choose Gemini Omni 1.1 Flash 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

Google

Gemini Omni 1.1 Flash

Try OpenAI →Try Google →

Codex Mini pricing page Gemini Omni 1.1 Flash pricing page OpenAI provider overview Google provider overview

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 Omni 1.1 Flash

Per Request:$0.01025

Daily:$1.025

Monthly:$30.75

Yearly:$374.125

Cost Differences

+$0.005750

Per Request

+$0.575

Daily

+$17.25

Monthly

+$209.875

Yearly

Gemini Omni 1.1 Flash costs more than Codex Mini

Quick Recommendation

Winner for direct API pricing: Codex Mini. At the default workload, Codex Mini saves about $17.25/month ($209.875/year) versus Gemini Omni 1.1 Flash.

Codex Mini full pricing breakdown Gemini Omni 1.1 Flash full pricing breakdown OpenAI API pricing details Google API pricing details OpenAI vs Google API pricing GPT-6 Astra vs Codex Mini GPT-6 Astra vs o4-mini Deep Research

Feature Comparison

Feature	Codex Mini	Gemini Omni 1.1 Flash
Provider	OpenAI	Google
Input Price	$1.50/1M tokens	$1.50/1M tokens
Output Price	$6.00/1M tokens	$17.50/1M tokens
Context Window	200,000 tokens	1,048,576 tokens
Max Output	32,768 tokens	57,920 tokens
Category	efficient	flagship
Capabilities	textcodereasoning	textvisionaudiovideo
Release Date	2/2/2026	8/27/2026

Codex Mini vs Gemini Omni 1.1 Flash: Which Should You Choose?

Choosing between Codex Mini and Gemini Omni 1.1 Flash depends on your priorities: cost efficiency, context length, or raw capability. Both models charge $1.50/1M input tokens, but Codex Mini is cheaper on output at $6.00/1M. Meanwhile, Gemini Omni 1.1 Flash offers a significantly larger context window at 1,048,576 tokens vs 200,000 for Codex Mini.

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 Omni 1.1 Flash is flagship. This means they're optimized for different workloads. Gemini Omni 1.1 Flash 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 $17.50 for Gemini Omni 1.1 Flash. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Codex Mini has the edge here at $6.00/1M output tokens.

Multimodal capabilities: Gemini Omni 1.1 Flash 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're already using OpenAI's API ecosystem
• You're running high-volume, latency-sensitive workloads

Choose Gemini Omni 1.1 Flash when:

• You need a larger context window (1,048,576 tokens)
• You need more capabilities (vision, audio, video)
• You need longer outputs (up to 57,920 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

• Smaller context window than Gemini Omni 1.1 Flash

Gemini Omni 1.1 Flash

• Input pricing: $1.50/M tokens
• Output pricing: $17.50/M tokens
• Context window: 1,048,576 tokens
• Max output: 57,920 tokens

Watch out for

• Higher output cost than Codex Mini

Try Different Scenarios

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

Codex Mini (OpenAI)

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

Select a provider and model to see costs

Gemini Omni 1.1 Flash (Google)

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

Select a provider and model to see costs

Start using Codex Mini today

Start using Gemini Omni 1.1 Flash today

Frequently Asked Questions

Which is cheaper, Codex Mini or Gemini Omni 1.1 Flash?▼

Input pricing is tied at $1.50 per million tokens. Codex Mini is cheaper on output at $6.00 vs $17.50 for Gemini Omni 1.1 Flash, so it wins for output-heavy usage.

What is the context window difference between Codex Mini and Gemini Omni 1.1 Flash?▼

Codex Mini supports 200,000 tokens while Gemini Omni 1.1 Flash supports 1,048,576 tokens — a difference of 848,576 tokens in favor of Gemini Omni 1.1 Flash.

Which model is better for AI Chatbot?▼

Both models support text. For ai chatbot, Codex Mini is the lower-cost option, while Gemini Omni 1.1 Flash offers a larger context window (1,048,576 vs 200,000 tokens). Choose Codex Mini for budget sensitivity or Gemini Omni 1.1 Flash 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 Omni 1.1 Flash costs about $30.75/month. Overall, Codex Mini has lower combined input + output rates ($1.50 in, $6.00 out) vs Gemini Omni 1.1 Flash.

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.