Head-to-Head Model Pricing & Benchmark Breakdown
GPT-5.6 Luna vs Gemini 3.7 Flash: High-Speed Sub-Dollar API Comparison
Battle of the workhorse models: Pricing, 1M context limits, and token calculation.
Adjust Your Custom Token Workload
Monthly Requests200k
Input Tokens / Req2000
Output Tokens / Req400
Prompt Cache %60%
GPT-5.6 Luna is 69.9% More Cost-Effective
Saves $325.00 per month ($3,900.00/yr) at this volume.
Annualized Savings$3,900.00
OpenAI
Most EconomicalGPT-5.6 Luna
Total Monthly Cost
$140.00 / month
$0.700 per 1,000 requestsInput Tokens / 1M:$0.20
Cached Input / 1M:$0.050
Output Tokens / 1M:$1.20
Context Window:1.1M
Inference Speed:~165 TPS
Google
Gemini 3.7 Flash
Total Monthly Cost
$465.00 / month
$2.32 per 1,000 requestsInput Tokens / 1M:$0.75
Cached Input / 1M:$0.188
Output Tokens / 1M:$3.75
Context Window:1M
Inference Speed:~150 TPS
The Verdict: Which Model Wins on Cost & ROI?
GPT-5.6 Luna is ~73% cheaper on input ($0.20 vs $0.75) and ~68% cheaper on output ($1.20 vs $3.75) with a 1.05M context window, while Gemini 3.7 Flash delivers superior native multimodal audio/video processing.
Key Architectural & Economic Differences
- GPT-5.6 Luna is substantially cheaper across input and output tokens.
- Both feature 1,000,000+ token context windows (1.05M on Luna vs 1.048M on Gemini).
- Gemini 3.7 Flash processes native live video streams with sub-second turnaround (~150 TPS).
- GPT-5.6 Luna runs at 165 tokens/second with strict JSON structured outputs.
When to Choose GPT-5.6 Luna
- • High-throughput consumer SaaS chatbots and structured JSON extraction
- • Massive batch parsing pipelines prioritizing sub-dollar pricing
- • OpenAI SDK ecosystem migrations and agent loops
When to Choose Gemini 3.7 Flash
- • Real-time multimodal video and audio understanding
- • Million-token document QA and knowledge retrieval
- • Interactive voice and live video streaming assistants
Detailed Spec & Pricing Comparison Table
| Specification / Metric | GPT-5.6 Luna (OpenAI) | Gemini 3.7 Flash (Google) | Advantage |
|---|---|---|---|
| Input Price / 1M Tokens | $0.20 | $0.75 | GPT-5.6 Luna |
| Cached Input Price / 1M | $0.050 (75%) | $0.188 (75%) | GPT-5.6 Luna |
| Output Price / 1M Tokens | $1.20 | $3.75 | GPT-5.6 Luna |
| Context Window | 1.1M | 1M | GPT-5.6 Luna |
| Inference Speed (Tokens/Sec) | ~165 TPS | ~150 TPS | GPT-5.6 Luna |
| MMLU Benchmark Score | 88.6% | 92.1% | Gemini 3.7 Flash |
Frequently Asked Questions
Both are lightning fast: GPT-5.6 Luna generates tokens at ~165 TPS, while Gemini 3.7 Flash generates tokens at ~150 TPS.
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