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OpenAI vs Google Gemini — API Comparison

Head-to-head comparison of pricing, features, and use case fit. Updated November 5, 2026.

⚡ Verdict: OpenAI wins on developer experience; Google wins on price-performance with Gemini Flash.

💰 Pricing Comparison

Metric OpenAI Google Gemini
Input Price GPT-6 Astra: $10/M input + $50/M output (1.05M context, cache $1/$12.50, Fast 2x, Batch 50%); GPT-6.1 Sol: $2/M input + $10/M output Standard (1.05M context); GPT-6.1 Terra: $1/M input + $5/M output Standard, $0.50/$2.50 Batch (1.05M context, >272K input = 2x input / 1.5x output); GPT-5.6 Sol: $4/$20 Standard, $2/$10 Batch (promo through Nov 21, 2026); GPT-5: $1.25/$10, GPT-5 mini: $0.25/$2, GPT-4o: $2.50/$10, GPT-4o mini: $0.15/$0.60 Gemini 4 Carbon/Argon: $2/M intro, $4/M after; 2.5 Pro: $1.25-10/M, 2.5 Flash: $0.15-1.25/M, 2.0 Flash: $0.10/M
Output Price Batch/Flex API for all models: 50% discount; long-context (>272K input): 2x Standard tier; Fast mode: 2x applicable rates; cache writes 1.25x input Gemini 4 Carbon/Argon: $10/M intro, $20/M after; 2.5 Pro: $5-40/M, 2.5 Flash: $0.30-5/M, 2.0 Flash: $0.40/M
China Access ❌ Proxy required (export control restrictions for China users) ❌ Proxy required (Google Cloud not accessible in CN)
Free Tier New accounts receive $5 in credits valid for 3 months Gemini 4 Carbon not yet public (Fairwind Program cohort only); Gemini 4 Argon paid-tier only; 2.5 Pro/Flash have free rate limits (15-30 RPM)
Models 14+ 6+
Overall Rank #1 #5

🤖 Supported Models

OpenAI

GPT-6 Astra (frontier, $10/$50 Standard, $1/$12.50 cache, 1.05M context, ExploitBench 100%, Critical cybersecurity)GPT-6.1 Terra (fast, $1/$5 Standard, $0.50/$2.50 Batch, 1.05M context, computer use)GPT-6.1 Sol (frontier, $2/$10 Standard, $1/$5 Batch, 1.05M context)GPT-5.6-Sol (frontier, $4/$20 Standard, $2/$10 Batch)GPT-5.6-Terra (mid-tier, $2/$12 Standard, $1/$6 Batch)GPT-5.6-Luna (efficient, $0.20/$1.20 Standard, $0.10/$0.60 Batch)GPT-5GPT-5-mini +6 more

Google Gemini

Gemini 4 Carbon (frontier, $2/$10 intro, $4/$20 after, not yet public)Gemini 4 Argon (frontier, $2/$10 intro, 1M context, 1M output tokens)Gemini 2.5 ProGemini 2.5 FlashGemini 2.0 FlashGemma 2/3

✨ Pros

OpenAI

  • ✓ Reference implementation of the OpenAI Chat Completions API; every 'OpenAI-compatible' third-party provider targets parity with this surface.
  • ✓ GPT-5.6 Sol cut to $4/$20 Standard on August 22, 2026 — promotional through at least November 21, 2026; Batch tier effectively $2/$10.
  • ✓ GPT-5.6 family has three SKUs (Sol frontier $4/$20, Terra mid $2/$12, Luna efficient $0.20/$1.20) for capability-tiered workloads.
  • ✓ First-party support for function calling, structured outputs (JSON schema), streaming (SSE), Realtime voice, vision (images + PDFs), and async Batch API at 50% off.
  • ✓ Chat Completions / Responses / Assistants / Realtime / Images / Audio / Embeddings — seven distinct API surfaces for different workloads.
  • ✓ Enterprise tier ships SOC 2 Type II + ISO 27001 + HIPAA eligibility + Zero Data Retention + EU data residency + admin SSO + audit log API.
  • ✓ $5 in free credits for new accounts, valid for 3 months; org-wide rate limits visible in dashboard; per-key usage telemetry on every model.

Google Gemini

  • ✓ Gemini 4 Carbon announced (Oct 28, 2026): #1 on the AA Intelligence Index at 59
  • ✓ Gemini 4 Argon live for developers: 1M output token limit and 1M context
  • ✓ Gemini 4 series at $2/$10 per 1M tokens intro, cached input 95% off
  • ✓ Native multimodal (images+audio+video)
  • ✓ Google Search Grounding for real-time info
  • ✓ Generous free tier (2.5 Flash sufficient for daily use)
  • ✓ Competitive Gemma open-source model series
  • ✓ Vertex AI for enterprise deployment

⚠️ Cons

OpenAI

  • × Higher API costs (o1 series $15-60/M)
  • × China requires proxy for access
  • × Frequent output model updates, occasional API compatibility issues
  • × High token consumption, especially o1 series
  • × No special discounts beyond batch credits

Google Gemini

  • × Gemini 4 Carbon is not yet available to developers (no model ID, no API endpoint)
  • × China requires proxy
  • × API not fully OpenAI-compatible
  • × Large context window but effective utilization questioned
  • × Complex pricing structure (different rates per context length)
  • × Gemini 2.5 Pro severely output-rate limited

🎯 Best For

OpenAI

Production workloads requiring industry benchmark quality; Function Calling/Structured Output; multimodal applications

Google Gemini

Gemini 4 Carbon: multi-day persistent agents (pending); Argon: ultra-long document processing and code migration; 2.5 Flash: high-volume low-cost workloads

❓ FAQ

Which is cheaper, OpenAI or Google Gemini? ▼

OpenAI — Input: GPT-6 Astra: $10/M input + $50/M output (1.05M context, cache $1/$12.50, Fast 2x, Batch 50%); GPT-6.1 Sol: $2/M input + $10/M output Standard (1.05M context); GPT-6.1 Terra: $1/M input + $5/M output Standard, $0.50/$2.50 Batch (1.05M context, >272K input = 2x input / 1.5x output); GPT-5.6 Sol: $4/$20 Standard, $2/$10 Batch (promo through Nov 21, 2026); GPT-5: $1.25/$10, GPT-5 mini: $0.25/$2, GPT-4o: $2.50/$10, GPT-4o mini: $0.15/$0.60, Output: Batch/Flex API for all models: 50% discount; long-context (>272K input): 2x Standard tier; Fast mode: 2x applicable rates; cache writes 1.25x input. Google Gemini — Input: Gemini 4 Carbon/Argon: $2/M intro, $4/M after; 2.5 Pro: $1.25-10/M, 2.5 Flash: $0.15-1.25/M, 2.0 Flash: $0.10/M, Output: Gemini 4 Carbon/Argon: $10/M intro, $20/M after; 2.5 Pro: $5-40/M, 2.5 Flash: $0.30-5/M, 2.0 Flash: $0.40/M.

Which is better for China access? ▼

OpenAI: ❌ Proxy required (export control restrictions for China users). Google Gemini: ❌ Proxy required (Google Cloud not accessible in CN).

What is the overall verdict? ▼

OpenAI wins on developer experience; Google wins on price-performance with Gemini Flash.

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