| Signal | DeepSeek V3.2 | Delta | Nova Micro 1.0 |
|---|---|---|---|
Capabilities | 67 | +33 | |
Pricing | 0 | +0 | |
Context window size | 83 | +2 | |
Recency | 100 | +52 | |
Output Capacity | 20 | -42 | |
| Overall Result | 4 wins | of 5 | 1 wins |
30
days ranked higher
0
days
0
days ranked higher
DeepSeek
Amazon
Nova Micro 1.0 saves you $34.50/month
That's $414.00/year compared to DeepSeek V3.2 at your current usage level of 100K calls/month.
| Metric | DeepSeek V3.2 | Nova Micro 1.0 | Winner |
|---|---|---|---|
| Overall Score | 70 | 50 | DeepSeek V3.2 |
| Rank | #132 | #252 | DeepSeek V3.2 |
| Quality Rank | #132 | #252 | DeepSeek V3.2 |
| Adoption Rank | #132 | #252 | DeepSeek V3.2 |
| Parameters | -- | -- | -- |
| Context Window | 164K | 128K | DeepSeek V3.2 |
| Pricing | $0.26/$0.38/M | $0.04/$0.14/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 33 | DeepSeek V3.2 |
| Pricing | 0 | 0 | DeepSeek V3.2 |
| Context window size | 83 | 81 | DeepSeek V3.2 |
| Recency | 100 | 48 | DeepSeek V3.2 |
| Output Capacity | 20 | 62 | Nova Micro 1.0 |
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 70/100 (rank #132), placing it in the top 55% of all 290 models tracked.
Scores 50/100 (rank #252), placing it in the top 13% of all 290 models tracked.
DeepSeek V3.2 has a 19-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Nova Micro 1.0 offers 73% better value per quality point. At 1M tokens/day, you'd spend $2.63/month with Nova Micro 1.0 vs $9.60/month with DeepSeek V3.2 — a $6.98 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. Nova Micro 1.0 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (164K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.14/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (70/100) correlates with better nuance, coherence, and style in long-form content
DeepSeek V3.2 clearly outperforms Nova Micro 1.0 with a significant 19.499999999999993-point lead. For most general use cases, DeepSeek V3.2 is the stronger choice. However, Nova Micro 1.0 may still excel in niche scenarios.
Best for Quality
DeepSeek V3.2
Marginally better benchmark scores; both are excellent
Best for Cost
Nova Micro 1.0
73% 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
| Capability | DeepSeek V3.2 | Nova Micro 1.0 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
DeepSeek
Amazon
Nova Micro 1.0 saves you $0.6930/month
That's 75% cheaper than DeepSeek V3.2 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 | Nova Micro 1.0 |
|---|---|---|
| Context Window | 164K | 128K |
| Max Output Tokens | -- | 5,120 |
| Open Source | Yes | No |
| Created | Dec 1, 2025 | Dec 5, 2024 |
DeepSeek V3.2 scores 70/100 (rank #132) compared to Nova Micro 1.0's 50/100 (rank #252), giving it a 19-point advantage. DeepSeek V3.2 is the stronger overall choice, though Nova Micro 1.0 may excel in specific areas like cost efficiency.
DeepSeek V3.2 is ranked #132 and Nova Micro 1.0 is ranked #252 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.
Nova Micro 1.0 is cheaper at $0.14/M output tokens vs DeepSeek V3.2's $0.38/M output tokens — 2.7x more expensive. Input token pricing: DeepSeek V3.2 at $0.26/M vs Nova Micro 1.0 at $0.04/M.
DeepSeek V3.2 has a larger context window of 163,840 tokens compared to Nova Micro 1.0's 128,000 tokens. A larger context window means the model can process longer documents and conversations.