| Signal | DeepSeek V3 0324 | Delta | Qwen3.5 397B A17B |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 75 | +1 | |
Pricing | 99 | +2 | |
Context window size | 83 | -3 | |
Recency | 65 | -35 | |
Output Capacity | 20 | -60 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
74.6
current score
DeepSeek V3 0324
right now
74.3
current score
DeepSeek
Alibaba
DeepSeek V3 0324 saves you $97.50/month
That's $1170.00/year compared to Qwen3.5 397B A17B at your current usage level of 100K calls/month.
| Metric | DeepSeek V3 0324 | Qwen3.5 397B A17B | Winner |
|---|---|---|---|
| Overall Score | 75 | 74 | DeepSeek V3 0324 |
| Rank | #36 | #37 | DeepSeek V3 0324 |
| Quality Rank | #36 | #37 | DeepSeek V3 0324 |
| Adoption Rank | #36 | #37 | DeepSeek V3 0324 |
| Parameters | -- | 397B | -- |
| Context Window | 164K | 262K | Qwen3.5 397B A17B |
| Pricing | $0.20/$0.77/M | $0.39/$2.34/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Qwen3.5 397B A17B |
| Benchmarks | 75 | 73 | DeepSeek V3 0324 |
| Pricing | 99 | 98 | DeepSeek V3 0324 |
| Context window size | 83 | 86 | Qwen3.5 397B A17B |
| Recency | 65 | 100 | Qwen3.5 397B A17B |
| Output Capacity | 20 | 80 | 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%). Here's what the scores mean for these two models:
Scores 75/100 (rank #36), placing it in the top 88% of all 290 models tracked.
Scores 74/100 (rank #37), placing it in the top 88% 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.
DeepSeek V3 0324 offers 64% better value per quality point. At 1M tokens/day, you'd spend $14.55/month with DeepSeek V3 0324 vs $40.95/month with Qwen3.5 397B A17B - a $26.40 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. DeepSeek V3 0324 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 ($0.77/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (75/100) 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 0324 and Qwen3.5 397B A17B are extremely close in overall performance (only 0.29999999999999716 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
DeepSeek V3 0324
Marginally better benchmark scores; both are excellent
Best for Cost
DeepSeek V3 0324
64% lower pricing; better value at scale
Best for Reliability
DeepSeek V3 0324
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V3 0324
Stronger community support and better developer experience
Best for Production
DeepSeek V3 0324
Wider enterprise adoption and proven at scale
by DeepSeek
| Capability | DeepSeek V3 0324 | Qwen3.5 397B A17B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
DeepSeek
Alibaba
DeepSeek V3 0324 saves you $2.23/month
That's 63% 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 0324 | Qwen3.5 397B A17B |
|---|---|---|
| Context Window | 164K | 262K |
| Max Output Tokens | -- | 65,536 |
| Open Source | Yes | Yes |
| Created | Mar 24, 2025 | Feb 16, 2026 |
DeepSeek V3 0324 scores 75/100 (rank #36) compared to Qwen3.5 397B A17B's 74/100 (rank #37), giving it a 0-point advantage. DeepSeek V3 0324 is the stronger overall choice, though Qwen3.5 397B A17B may excel in specific areas like certain benchmarks.
DeepSeek V3 0324 is ranked #36 and Qwen3.5 397B A17B is ranked #37 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
DeepSeek V3 0324 is cheaper at $0.77/M output tokens vs Qwen3.5 397B A17B's $2.34/M output tokens - 3.0x more expensive. Input token pricing: DeepSeek V3 0324 at $0.20/M vs Qwen3.5 397B A17B at $0.39/M.
Qwen3.5 397B A17B has a larger context window of 262,144 tokens compared to DeepSeek V3 0324's 163,840 tokens. A larger context window means the model can process longer documents and conversations.