| Signal | Perceptron Mk1 | Delta | Qwen3.7 Max |
|---|---|---|---|
Capabilities | 67 | -- | |
Pricing | 99 | +6 | |
Context window size | 65 | -21 | |
Recency | 100 | -- | |
Output Capacity | 65 | -15 | |
| Overall Result | 1 wins | of 5 | 2 wins |
Score History
40
current score
Tied
right now
40
current score
perceptron
Alibaba
Perceptron Mk1 saves you $535.00/month
That's $6420.00/year compared to Qwen3.7 Max at your current usage level of 100K calls/month.
| Metric | Perceptron Mk1 | Qwen3.7 Max | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #180 | #178 | Qwen3.7 Max |
| Quality Rank | #180 | #178 | Qwen3.7 Max |
| Adoption Rank | #180 | #178 | Qwen3.7 Max |
| Parameters | -- | -- | -- |
| Context Window | 33K | 1000K | Qwen3.7 Max |
| Pricing | $0.15/$1.50/M | $2.50/$7.50/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Perceptron Mk1 |
| Pricing | 99 | 93 | Perceptron Mk1 |
| Context window size | 65 | 86 | Qwen3.7 Max |
| Recency | 100 | 100 | Perceptron Mk1 |
| Output Capacity | 65 | 80 | Qwen3.7 Max |
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 #180), placing it in the top 38% of all 290 models tracked.
Scores 40/100 (rank #178), placing it in the top 39% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Perceptron Mk1 offers 84% better value per quality point. At 1M tokens/day, you'd spend $24.75/month with Perceptron Mk1 vs $150.00/month with Qwen3.7 Max - a $125.25 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. Perceptron Mk1 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 ($1.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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
Perceptron Mk1 and Qwen3.7 Max are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Perceptron Mk1
Marginally better benchmark scores; both are excellent
Best for Cost
Perceptron Mk1
84% lower pricing; better value at scale
Best for Reliability
Perceptron Mk1
Higher uptime and faster response speeds
Best for Prototyping
Perceptron Mk1
Stronger community support and better developer experience
Best for Production
Perceptron Mk1
Wider enterprise adoption and proven at scale
by perceptron
| Capability | Perceptron Mk1 | Qwen3.7 Max |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
perceptron
Alibaba
Perceptron Mk1 saves you $11.43/month
That's 85% cheaper than Qwen3.7 Max 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 | Perceptron Mk1 | Qwen3.7 Max |
|---|---|---|
| Context Window | 33K | 1M |
| Max Output Tokens | 8,192 | 65,536 |
| Open Source | No | No |
| Created | May 12, 2026 | May 21, 2026 |