Gemini 3.8 Flash vs GPT-6 Luna (batch)
| Signal | Gemini 3.8 Flash | Delta | GPT-6 Luna (batch) |
|---|---|---|---|
Capabilities | 100 | -- | |
Pricing | 96 | -4 | |
Context window size | 96 | 0 | |
Recency | 100 | -- | |
Output Capacity | 77 | -5 | |
| Overall Result | 0 wins | of 5 | 3 wins |
Score History
81
current score
Gemini 3.8 Flash
right now
40
current score
Gemini 3.8 Flash
GPT-6 Luna (batch)
OpenAI
GPT-6 Luna (batch) saves you $271.25/month
That's $3255.00/year compared to Gemini 3.8 Flash at your current usage level of 100K calls/month.
| Metric | Gemini 3.8 Flash | GPT-6 Luna (batch) | Winner |
|---|---|---|---|
| Overall Score | 81 | 40 | Gemini 3.8 Flash |
| Rank | #82 | #222 | Gemini 3.8 Flash |
| Quality Rank | #82 | #222 | Gemini 3.8 Flash |
| Adoption Rank | #82 | #222 | Gemini 3.8 Flash |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 1050K | GPT-6 Luna (batch) |
| Pricing | $0.83/$4.13/M | $0.05/$0.25/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Gemini 3.8 Flash |
| Pricing | 96 | 100 | GPT-6 Luna (batch) |
| Context window size | 96 | 96 | GPT-6 Luna (batch) |
| Recency | 100 | 100 | Gemini 3.8 Flash |
| Output Capacity | 77 | 82 | GPT-6 Luna (batch) |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 81/100 (rank #82), placing it in the top 72% of all 290 models tracked.
Scores 40/100 (rank #222), placing it in the top 24% of all 290 models tracked.
Gemini 3.8 Flash has a 41-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Gemini 3.8 Flash when you need:
- Step-by-step reasoning and chain-of-thought problem solving
Choose GPT-6 Luna (batch) when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
GPT-6 Luna (batch) offers 94% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with GPT-6 Luna (batch) vs $74.25/month with Gemini 3.8 Flash - a $69.75 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. GPT-6 Luna (batch) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.25/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (81/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Gemini 3.8 Flash clearly outperforms GPT-6 Luna (batch) with a significant 41-point lead. For most general use cases, Gemini 3.8 Flash is the stronger choice. However, GPT-6 Luna (batch) may still excel in niche scenarios.
By Use Case
Best for Quality
Gemini 3.8 Flash
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-6 Luna (batch)
94% lower pricing; better value at scale
Best for Reliability
Gemini 3.8 Flash
Higher uptime and faster response speeds
Best for Prototyping
Gemini 3.8 Flash
Stronger community support and better developer experience
Best for Production
Gemini 3.8 Flash
Wider enterprise adoption and proven at scale
by Google
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Gemini 3.8 Flash | GPT-6 Luna (batch) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Gemini 3.8 Flash
GPT-6 Luna (batch)
OpenAI
GPT-6 Luna (batch) saves you $6.05/month
That's 94% cheaper than Gemini 3.8 Flash at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Gemini 3.8 Flash | GPT-6 Luna (batch) |
|---|---|---|
| Context Window | 1.0M | 1.1M |
| Max Output Tokens | 65,536 | 128,000 |
| Open Source | No | No |
| Created | Sep 2, 2026 | Sep 22, 2026 |