GPT-5.4 Mini vs Qwen3.7 Max
| Signal | GPT-5.4 Mini | Delta | Qwen3.7 Max |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 90 | +90 | |
Pricing | 96 | -1 | |
Context window size | 80 | -6 | |
Recency | 100 | -- | |
Output Capacity | 85 | +5 | |
| Overall Result | 3 wins | of 6 | 2 wins |
Score History
78.8
current score
GPT-5.4 Mini
right now
40
current score
GPT-5.4 Mini
OpenAI
Qwen3.7 Max
Alibaba
GPT-5.4 Mini saves you $12.50/month
That's $150.00/year compared to Qwen3.7 Max at your current usage level of 100K calls/month.
| Metric | GPT-5.4 Mini | Qwen3.7 Max | Winner |
|---|---|---|---|
| Overall Score | 79 | 40 | GPT-5.4 Mini |
| Rank | #51 | #185 | GPT-5.4 Mini |
| Quality Rank | #51 | #185 | GPT-5.4 Mini |
| Adoption Rank | #51 | #185 | GPT-5.4 Mini |
| Parameters | -- | -- | -- |
| Context Window | 400K | 1000K | Qwen3.7 Max |
| Pricing | $0.75/$4.50/M | $1.25/$3.75/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-5.4 Mini |
| Benchmarks | 90 | -- | GPT-5.4 Mini |
| Pricing | 96 | 96 | Qwen3.7 Max |
| Context window size | 80 | 86 | Qwen3.7 Max |
| Recency | 100 | 100 | GPT-5.4 Mini |
| Output Capacity | 85 | 80 | GPT-5.4 Mini |
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 79/100 (rank #51), placing it in the top 83% of all 290 models tracked.
Scores 40/100 (rank #185), placing it in the top 37% of all 290 models tracked.
GPT-5.4 Mini has a 39-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-5.4 Mini when you need:
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
Choose Qwen3.7 Max when you need:
- Processing long documents or large codebases (1000K token context)
- Step-by-step reasoning and chain-of-thought problem solving
GPT-5.4 Mini offers 5% better value per quality point. At 1M tokens/day, you'd spend $75.00/month with Qwen3.7 Max vs $78.75/month with GPT-5.4 Mini - a $3.75 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. Qwen3.7 Max also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($3.75/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (79/100) 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 Mini clearly outperforms Qwen3.7 Max with a significant 38.8-point lead. For most general use cases, GPT-5.4 Mini is the stronger choice. However, Qwen3.7 Max may still excel in niche scenarios.
By Use Case
Best for Quality
GPT-5.4 Mini
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.7 Max
5% lower pricing; better value at scale
Best for Reliability
GPT-5.4 Mini
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.4 Mini
Stronger community support and better developer experience
Best for Production
GPT-5.4 Mini
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-5.4 Mini | Qwen3.7 Max |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
GPT-5.4 Mini
OpenAI
Qwen3.7 Max
Alibaba
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-5.4 Mini | Qwen3.7 Max |
|---|---|---|
| Context Window | 400K | 1M |
| Max Output Tokens | 128,000 | 65,536 |
| Open Source | No | No |
| Created | Mar 17, 2026 | May 21, 2026 |