DeepSeek V3.2 vs Qwen3.5 397B A17B
| Signal | DeepSeek V3.2 | Delta | Qwen3.5 397B A17B |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 87 | +17 | |
Pricing | 100 | +3 | |
Context window size | 83 | -3 | |
Recency | 71 | -14 | |
Output Capacity | 83 | -3 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
83.4
current score
DeepSeek V3.2
right now
70.7
current score
DeepSeek V3.2
DeepSeek
Qwen3.5 397B A17B
Alibaba
DeepSeek V3.2 saves you $185.00/month
That's $2220.00/year compared to Qwen3.5 397B A17B at your current usage level of 100K calls/month.
| Metric | DeepSeek V3.2 | Qwen3.5 397B A17B | Winner |
|---|---|---|---|
| Overall Score | 83 | 71 | DeepSeek V3.2 |
| Rank | #73 | #113 | DeepSeek V3.2 |
| Quality Rank | #73 | #113 | DeepSeek V3.2 |
| Adoption Rank | #73 | #113 | DeepSeek V3.2 |
| Parameters | -- | 397B | -- |
| Context Window | 164K | 262K | Qwen3.5 397B A17B |
| Pricing | $0.26/$0.38/M | $0.50/$3.60/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Qwen3.5 397B A17B |
| Benchmarks | 87 | 70 | DeepSeek V3.2 |
| Pricing | 100 | 96 | DeepSeek V3.2 |
| Context window size | 83 | 86 | Qwen3.5 397B A17B |
| Recency | 71 | 85 | Qwen3.5 397B A17B |
| Output Capacity | 83 | 86 | Qwen3.5 397B A17B |
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 83/100 (rank #73), placing it in the top 75% of all 290 models tracked.
Scores 71/100 (rank #113), placing it in the top 61% of all 290 models tracked.
DeepSeek V3.2 has a 13-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Choose DeepSeek V3.2 when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Choose Qwen3.5 397B A17B when you need:
- Processing long documents or large codebases (262K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
DeepSeek V3.2 offers 84% better value per quality point. At 1M tokens/day, you'd spend $9.60/month with DeepSeek V3.2 vs $61.50/month with Qwen3.5 397B A17B - a $51.90 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. DeepSeek V3.2 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.38/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (83/100) 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
DeepSeek V3.2 clearly outperforms Qwen3.5 397B A17B with a significant 12.700000000000003-point lead. For most general use cases, DeepSeek V3.2 is the stronger choice. However, Qwen3.5 397B A17B may still excel in niche scenarios.
By Use Case
Best for Quality
DeepSeek V3.2
Marginally better benchmark scores; both are excellent
Best for Cost
DeepSeek V3.2
84% lower pricing; better value at scale
Best for Reliability
DeepSeek V3.2
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V3.2
Stronger community support and better developer experience
Best for Production
DeepSeek V3.2
Wider enterprise adoption and proven at scale
by DeepSeek
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 84% 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 | DeepSeek V3.2 | Qwen3.5 397B A17B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
DeepSeek V3.2
DeepSeek
Qwen3.5 397B A17B
Alibaba
DeepSeek V3.2 saves you $4.30/month
That's 82% cheaper than Qwen3.5 397B A17B 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 | DeepSeek V3.2 | Qwen3.5 397B A17B |
|---|---|---|
| Context Window | 164K | 262K |
| Max Output Tokens | 147,456 | 235,929 |
| Open Source | Yes | Yes |
| Created | Dec 1, 2025 | Feb 16, 2026 |