| Signal | GPT-5.4 | Delta | Qwen3 30B A3B Thinking 2507 |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 90 | +90 | |
Pricing | 15 | +15 | |
Context window size | 96 | +14 | |
Recency | 100 | +5 | |
Output Capacity | 85 | 0 | |
| Overall Result | 5 wins | of 6 | 1 wins |
30
days ranked higher
0
days
0
days ranked higher
OpenAI
Alibaba
Qwen3 30B A3B Thinking 2507 saves you $972.00/month
That's $11664.00/year compared to GPT-5.4 at your current usage level of 100K calls/month.
| Metric | GPT-5.4 | Qwen3 30B A3B Thinking 2507 | Winner |
|---|---|---|---|
| Overall Score | 94 | 81 | GPT-5.4 |
| Rank | #2 | #74 | GPT-5.4 |
| Quality Rank | #2 | #74 | GPT-5.4 |
| Adoption Rank | #2 | #74 | GPT-5.4 |
| Parameters | -- | 30B | -- |
| Context Window | 1050K | 131K | GPT-5.4 |
| Pricing | $2.50/$15.00/M | $0.08/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-5.4 |
| Benchmarks | 90 | -- | GPT-5.4 |
| Pricing | 15 | 0 | GPT-5.4 |
| Context window size | 96 | 81 | GPT-5.4 |
| Recency | 100 | 95 | GPT-5.4 |
| Output Capacity | 85 | 85 | Qwen3 30B A3B Thinking 2507 |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 94/100 (rank #2), placing it in the top 100% of all 290 models tracked.
Scores 81/100 (rank #74), placing it in the top 75% of all 290 models tracked.
GPT-5.4 has a 13-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Qwen3 30B A3B Thinking 2507 offers 97% better value per quality point. At 1M tokens/day, you'd spend $7.20/month with Qwen3 30B A3B Thinking 2507 vs $262.50/month with GPT-5.4 - a $255.30 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Qwen3 30B A3B Thinking 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 ($0.40/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (94/100) 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-5.4 clearly outperforms Qwen3 30B A3B Thinking 2507 with a significant 13.099999999999994-point lead. For most general use cases, GPT-5.4 is the stronger choice. However, Qwen3 30B A3B Thinking 2507 may still excel in niche scenarios.
Best for Quality
GPT-5.4
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 30B A3B Thinking 2507
97% lower pricing; better value at scale
Best for Reliability
GPT-5.4
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.4
Stronger community support and better developer experience
Best for Production
GPT-5.4
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.4 | Qwen3 30B A3B Thinking 2507 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Alibaba
Qwen3 30B A3B Thinking 2507 saves you $21.88/month
That's 97% cheaper than GPT-5.4 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-5.4 | Qwen3 30B A3B Thinking 2507 |
|---|---|---|
| Context Window | 1.1M | 131K |
| Max Output Tokens | 128,000 | 131,072 |
| Open Source | No | Yes |
| Created | Mar 5, 2026 | Aug 28, 2025 |
GPT-5.4 scores 94/100 (rank #2) compared to Qwen3 30B A3B Thinking 2507's 81/100 (rank #74), giving it a 13-point advantage. GPT-5.4 is the stronger overall choice, though Qwen3 30B A3B Thinking 2507 may excel in specific areas like cost efficiency.
GPT-5.4 is ranked #2 and Qwen3 30B A3B Thinking 2507 is ranked #74 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Qwen3 30B A3B Thinking 2507 is cheaper at $0.40/M output tokens vs GPT-5.4's $15.00/M output tokens - 37.5x more expensive. Input token pricing: GPT-5.4 at $2.50/M vs Qwen3 30B A3B Thinking 2507 at $0.08/M.
GPT-5.4 has a larger context window of 1,050,000 tokens compared to Qwen3 30B A3B Thinking 2507's 131,072 tokens. A larger context window means the model can process longer documents and conversations.