GPT-4 vs GPT-5.6 Luna (batch)
| Signal | GPT-4 | Delta | GPT-5.6 Luna (batch) |
|---|---|---|---|
Capabilities | 50 | -50 | |
Benchmarks | 66 | -22 | |
Pricing | 40 | -59 | |
Context window size | 62 | -33 | |
Recency | 0 | -100 | |
Output Capacity | 60 | -25 | |
| Overall Result | 0 wins | of 6 | 6 wins |
Score History
64.8
current score
GPT-5.6 Luna (batch)
right now
89
current score
GPT-4
OpenAI
GPT-5.6 Luna (batch)
OpenAI
GPT-5.6 Luna (batch) saves you $5960.00/month
That's $71520.00/year compared to GPT-4 at your current usage level of 100K calls/month.
| Metric | GPT-4 | GPT-5.6 Luna (batch) | Winner |
|---|---|---|---|
| Overall Score | 65 | 89 | GPT-5.6 Luna (batch) |
| Rank | #192 | #35 | GPT-5.6 Luna (batch) |
| Quality Rank | #192 | #35 | GPT-5.6 Luna (batch) |
| Adoption Rank | #192 | #35 | GPT-5.6 Luna (batch) |
| Parameters | -- | -- | -- |
| Context Window | 8K | 1050K | GPT-5.6 Luna (batch) |
| Pricing | $30.00/$60.00/M | $0.10/$0.60/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 100 | GPT-5.6 Luna (batch) |
| Benchmarks | 66 | 88 | GPT-5.6 Luna (batch) |
| Pricing | 40 | 99 | GPT-5.6 Luna (batch) |
| Context window size | 62 | 96 | GPT-5.6 Luna (batch) |
| Recency | 0 | 100 | GPT-5.6 Luna (batch) |
| Output Capacity | 60 | 85 | GPT-5.6 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 65/100 (rank #192), placing it in the top 34% of all 290 models tracked.
Scores 89/100 (rank #35), placing it in the top 88% of all 290 models tracked.
GPT-5.6 Luna (batch) has a 24-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-4 when you need:
- Budget-friendly applications with moderate quality requirements
Choose GPT-5.6 Luna (batch) when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (1050K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
GPT-5.6 Luna (batch) offers 99% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with GPT-5.6 Luna (batch) vs $1350.00/month with GPT-4 - a $1339.50 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-5.6 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 ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (89/100) 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
GPT-5.6 Luna (batch) clearly outperforms GPT-4 with a significant 24.200000000000003-point lead. For most general use cases, GPT-5.6 Luna (batch) is the stronger choice. However, GPT-4 may still excel in niche scenarios.
By Use Case
Best for Quality
GPT-4
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5.6 Luna (batch)
99% lower pricing; better value at scale
Best for Reliability
GPT-4
Higher uptime and faster response speeds
Best for Prototyping
GPT-4
Stronger community support and better developer experience
Best for Production
GPT-4
Wider enterprise adoption and proven at scale
by OpenAI
- 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 | GPT-4 | GPT-5.6 Luna (batch) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
GPT-4
OpenAI
GPT-5.6 Luna (batch)
OpenAI
GPT-5.6 Luna (batch) saves you $125.10/month
That's 99% cheaper than GPT-4 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 | GPT-4 | GPT-5.6 Luna (batch) |
|---|---|---|
| Context Window | 8K | 1.1M |
| Max Output Tokens | 4,096 | 128,000 |
| Open Source | No | No |
| Created | May 28, 2023 | Jul 9, 2026 |