GPT-6 Luna Pro (batch) vs Qwen3 30B A3B Instruct 2507
| Signal | GPT-6 Luna Pro (batch) | Delta | Qwen3 30B A3B Instruct 2507 |
|---|---|---|---|
Capabilities | 100 | +50 | |
Pricing | 100 | -- | |
Context window size | 96 | +10 | |
Recency | 100 | +44 | |
Output Capacity | 82 | +10 | |
| Overall Result | 4 wins | of 5 | 0 wins |
Score History
40
current score
Qwen3 30B A3B Instruct 2507
right now
64.1
current score
GPT-6 Luna Pro (batch)
OpenAI
Qwen3 30B A3B Instruct 2507
Alibaba
Qwen3 30B A3B Instruct 2507 saves you $3.03/month
That's $36.39/year compared to GPT-6 Luna Pro (batch) at your current usage level of 100K calls/month.
| Metric | GPT-6 Luna Pro (batch) | Qwen3 30B A3B Instruct 2507 | Winner |
|---|---|---|---|
| Overall Score | 40 | 64 | Qwen3 30B A3B Instruct 2507 |
| Rank | #235 | #200 | Qwen3 30B A3B Instruct 2507 |
| Quality Rank | #235 | #200 | Qwen3 30B A3B Instruct 2507 |
| Adoption Rank | #235 | #200 | Qwen3 30B A3B Instruct 2507 |
| Parameters | -- | 30B | -- |
| Context Window | 1050K | 262K | GPT-6 Luna Pro (batch) |
| Pricing | $0.05/$0.25/M | $0.05/$0.19/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | GPT-6 Luna Pro (batch) |
| Pricing | 100 | 100 | GPT-6 Luna Pro (batch) |
| Context window size | 96 | 86 | GPT-6 Luna Pro (batch) |
| Recency | 100 | 56 | GPT-6 Luna Pro (batch) |
| Output Capacity | 82 | 72 | GPT-6 Luna Pro (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 40/100 (rank #235), placing it in the top 19% of all 290 models tracked.
Scores 64/100 (rank #200), placing it in the top 31% of all 290 models tracked.
Qwen3 30B A3B Instruct 2507 has a 24-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-6 Luna Pro (batch) when you need:
- 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
Choose Qwen3 30B A3B Instruct 2507 when you need:
- Self-hosted deployments where you need full control over the model
Qwen3 30B A3B Instruct 2507 offers 20% better value per quality point. At 1M tokens/day, you'd spend $3.62/month with Qwen3 30B A3B Instruct 2507 vs $4.50/month with GPT-6 Luna Pro (batch) - a $0.88 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. Qwen3 30B A3B Instruct 2507 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 ($0.19/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (64/100) 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
Qwen3 30B A3B Instruct 2507 clearly outperforms GPT-6 Luna Pro (batch) with a significant 24.099999999999994-point lead. For most general use cases, Qwen3 30B A3B Instruct 2507 is the stronger choice. However, GPT-6 Luna Pro (batch) may still excel in niche scenarios.
By Use Case
Best for Quality
GPT-6 Luna Pro (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 30B A3B Instruct 2507
20% lower pricing; better value at scale
Best for Reliability
GPT-6 Luna Pro (batch)
Higher uptime and faster response speeds
Best for Prototyping
GPT-6 Luna Pro (batch)
Stronger community support and better developer experience
Best for Production
GPT-6 Luna Pro (batch)
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
by Alibaba
- Choose for Cost - 20% lower pricing; better value at scale
| Capability | GPT-6 Luna Pro (batch) | Qwen3 30B A3B Instruct 2507 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
GPT-6 Luna Pro (batch)
OpenAI
Qwen3 30B A3B Instruct 2507
Alibaba
Qwen3 30B A3B Instruct 2507 saves you $0.0717/month
That's 18% cheaper than GPT-6 Luna Pro (batch) 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 Pro (batch) | Qwen3 30B A3B Instruct 2507 |
|---|---|---|
| Context Window | 1.1M | 262K |
| Max Output Tokens | 128,000 | 32,000 |
| Open Source | No | Yes |
| Created | Sep 22, 2026 | Jul 29, 2025 |