GPT-6 Luna (batch) vs Llama 4 Maverick
| Signal | GPT-6 Luna (batch) | Delta | Llama 4 Maverick |
|---|---|---|---|
Capabilities | 100 | +33 | |
Pricing | 100 | +1 | |
Context window size | 96 | +0 | |
Recency | 100 | +65 | |
Output Capacity | 82 | +14 | |
Benchmarks | 0 | -75 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
40
current score
Llama 4 Maverick
right now
70.7
current score
GPT-6 Luna (batch)
OpenAI
Llama 4 Maverick
Meta
GPT-6 Luna (batch) saves you $33.88/month
That's $406.50/year compared to Llama 4 Maverick at your current usage level of 100K calls/month.
| Metric | GPT-6 Luna (batch) | Llama 4 Maverick | Winner |
|---|---|---|---|
| Overall Score | 40 | 71 | Llama 4 Maverick |
| Rank | #237 | #165 | Llama 4 Maverick |
| Quality Rank | #237 | #165 | Llama 4 Maverick |
| Adoption Rank | #237 | #165 | Llama 4 Maverick |
| Parameters | -- | -- | -- |
| Context Window | 1050K | 1049K | GPT-6 Luna (batch) |
| Pricing | $0.05/$0.25/M | $0.19/$0.65/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-6 Luna (batch) |
| Pricing | 100 | 99 | GPT-6 Luna (batch) |
| Context window size | 96 | 96 | GPT-6 Luna (batch) |
| Recency | 100 | 36 | GPT-6 Luna (batch) |
| Output Capacity | 82 | 67 | GPT-6 Luna (batch) |
| Benchmarks | -- | 76 | Llama 4 Maverick |
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 40/100 (rank #237), placing it in the top 19% of all 290 models tracked.
Scores 71/100 (rank #165), placing it in the top 43% of all 290 models tracked.
Llama 4 Maverick has a 31-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
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
Choose Llama 4 Maverick when you need:
- Self-hosted deployments where you need full control over the model
GPT-6 Luna (batch) offers 64% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with GPT-6 Luna (batch) vs $12.60/month with Llama 4 Maverick - a $8.10 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 (71/100) 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
Llama 4 Maverick clearly outperforms GPT-6 Luna (batch) with a significant 30.700000000000003-point lead. For most general use cases, Llama 4 Maverick is the stronger choice. However, GPT-6 Luna (batch) may still excel in niche scenarios.
By Use Case
Best for Quality
GPT-6 Luna (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-6 Luna (batch)
64% lower pricing; better value at scale
Best for Reliability
GPT-6 Luna (batch)
Higher uptime and faster response speeds
Best for Prototyping
GPT-6 Luna (batch)
Stronger community support and better developer experience
Best for Production
GPT-6 Luna (batch)
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 64% lower pricing; better value at scale
- 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-6 Luna (batch) | Llama 4 Maverick |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
GPT-6 Luna (batch)
OpenAI
Llama 4 Maverick
Meta
GPT-6 Luna (batch) saves you $0.7305/month
That's 65% cheaper than Llama 4 Maverick 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-6 Luna (batch) | Llama 4 Maverick |
|---|---|---|
| Context Window | 1.1M | 1.0M |
| Max Output Tokens | 128,000 | 16,384 |
| Open Source | No | Yes |
| Created | Sep 22, 2026 | Apr 5, 2025 |