OpenAI vs Google AI Pricing 2026:
GPT-6 vs Gemini 3 Full Comparison
Complete pricing comparison between OpenAI (GPT-6 Luna, GPT-6.1 Sol, GPT-6 Astra) and Google (Gemini Flash-Lite, Gemini 3.8 Flash, Gemini 3.1 Pro Preview) in 2026 — tier by tier, with cost examples and use-case recommendations. Last verified: 2026-10-01.
At the budget end the two are almost level: Gemini 2.5 Flash-Lite ($0.10/$0.40) and GPT-6 Luna ($0.10/$0.50) share the same input price. In the middle, Gemini 3.8 Flash ($0.75/$3.75) costs well under half of GPT-6.1 Sol ($2/$10) until the end of 2026, and still less after its price doubles in January 2027. At the top, Gemini 3.1 Pro Preview ($2/$12) is far cheaper than GPT-6 Astra ($10/$50). Choose Google for price, OpenAI for ecosystem and its cheap cached input.
Full Pricing Comparison: All Tiers
| Tier | OpenAI Model | Input / Output | Google Model | Input / Output | Cost gap (input) |
|---|---|---|---|---|---|
| Budget | GPT-6 Luna | $0.10 / $0.50 | Gemini 2.5 Flash-Lite | $0.10 / $0.40 | Same input; Google 20% cheaper on output |
| Mid-range | GPT-6.1 Sol | $2.00 / $10.00 | Gemini 3.8 Flash | $0.75 / $3.75* | Google 2.7× cheaper (1.3× from 2027) |
| Premium | GPT-6 Astra | $10.00 / $50.00 | Gemini 3.1 Pro Preview | $2.00 / $12.00** | Google 5× cheaper on input |
* Promotional rate through December 31, 2026; $1.50/$7.50 from January 1, 2027. ** Prompts up to 200K tokens; $4/$18 above. GPT-6 prices apply up to 272K input tokens; longer prompts cost 2× input and 1.5× output. Model quality differs by tier, so compare on your own tasks as well as on price.
Context Window Comparison
| Model | Context window | Notes |
|---|---|---|
| GPT-6 Astra / Sol / Luna | 1,050,000 tokens | Higher rates above 272K input tokens |
| Gemini 3.8 Flash, 3.5 Flash-Lite, 2.5 Flash-Lite | 1,048,576 tokens | Single rate on Flash models |
| Gemini 3.1 Pro Preview | 1,048,576 tokens | Higher rates above 200K tokens |
Key change since early 2026: every current OpenAI model now has a roughly 1M-token window, so context size no longer separates the two providers — long-prompt pricing does.
Cost at Scale: Same Workload, Both Providers
| Monthly volume | GPT-6 Luna | Gemini 2.5 Flash-Lite | GPT-6.1 Sol | Gemini 3.8 Flash* |
|---|---|---|---|---|
| 10M in / 3M out | $2.50 | $2.20 | $50 | $18.75 |
| 100M in / 30M out | $25 | $22 | $500 | $187.50 |
| 1B in / 300M out | $250 | $220 | $5,000 | $1,875 |
OpenAI Advantages
- Cheap cached input: GPT-6 Luna caches at $0.01/M and GPT-6.1 Sol at $0.10/M — useful when every request repeats a large system prompt
- Batch API (50% off): GPT-6 Luna batch at $0.05/M input
- Ecosystem: OpenAI's function calling format is the de facto standard, with the widest framework support
- Azure OpenAI: enterprise compliance and data residency via Azure deployment
Google Advantages
- Price: cheaper or equal at every tier, and far cheaper in the middle and premium tiers
- Strong mid-tier model: Gemini 3.8 Flash is Google's most capable Flash model at $0.75/$3.75 (until 2027)
- Native multimodal: images, video and audio input
- Google Cloud integration: Vertex AI, Firebase, Google Workspace and BigQuery
- Free tier: most Gemini Flash and Flash-Lite models are free to try on the Gemini API free tier
Which to Choose by Use Case
| Use case | Recommended | Why |
|---|---|---|
| High-volume chatbot (cost priority) | Gemini 2.5 Flash-Lite or GPT-6 Luna | $0.10/M input — the cheapest models either provider sells |
| Full codebase analysis / long docs | Gemini 3.8 Flash | 1M context at a single, low rate |
| OpenAI ecosystem (LangChain, fine-tuning) | GPT-6 Luna or GPT-6.1 Sol | Ecosystem compatibility |
| Repeated large prompts | GPT-6 Luna / GPT-6.1 Sol | Cached input at $0.01 and $0.10 per 1M |
| Premium reasoning on a budget | Gemini 3.1 Pro Preview | $2/$12 vs $10/$50 for GPT-6 Astra (preview model) |
| Enterprise compliance (Azure/GCP) | Azure OpenAI or Vertex AI | Depends on your cloud provider |
Compare OpenAI vs Google Costs for Your Volume
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