| Signal | DeepSeek V3.2 Speciale | Delta | R1 0528 |
|---|---|---|---|
Capabilities | 50 | -17 | |
Pricing | 1 | -1 | |
Context window size | 83 | -- | |
Recency | 100 | +23 | |
Output Capacity | 87 | +7 | |
Benchmarks | 0 | -79 | |
| Overall Result | 2 wins | of 6 | 3 wins |
0
days higher
0
days
30
days higher
DeepSeek
DeepSeek
DeepSeek V3.2 Speciale saves you $52.50/month
That's $630.00/year compared to R1 0528 at your current usage level of 100K calls/month.
| Metric | DeepSeek V3.2 Speciale | R1 0528 | Winner |
|---|---|---|---|
| Overall Score | 40 | 79 | R1 0528 |
| Rank | #170 | #29 | R1 0528 |
| Quality Rank | #170 | #29 | R1 0528 |
| Adoption Rank | #170 | #29 | R1 0528 |
| Parameters | -- | -- | -- |
| Context Window | 164K | 164K | -- |
| Pricing | $0.40/$1.20/M | $0.45/$2.15/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | R1 0528 |
| Pricing | 1 | 2 | R1 0528 |
| Context window size | 83 | 83 | DeepSeek V3.2 Speciale |
| Recency | 100 | 77 | DeepSeek V3.2 Speciale |
| Output Capacity | 87 | 80 | DeepSeek V3.2 Speciale |
| Benchmarks | -- | 80 | R1 0528 |
Our score (0-100) is driven by benchmark performance (90%) from LMArena Elo, 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 40/100 (rank #170), placing it in the top 42% of all 290 models tracked.
Scores 79/100 (rank #29), placing it in the top 90% of all 290 models tracked.
R1 0528 has a 39-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
R1 0528 offers 38% better value per quality point. At 1M tokens/day, you'd spend $24.00/month with DeepSeek V3.2 Speciale vs $39.00/month with R1 0528 - a $15.00 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 V3.2 Speciale 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 ($1.20/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
R1 0528 clearly outperforms DeepSeek V3.2 Speciale with a significant 39-point lead. For most general use cases, R1 0528 is the stronger choice. However, DeepSeek V3.2 Speciale may still excel in niche scenarios.
Best for Quality
DeepSeek V3.2 Speciale
Marginally better benchmark scores; both are excellent
Best for Cost
DeepSeek V3.2 Speciale
38% lower pricing; better value at scale
Best for Reliability
DeepSeek V3.2 Speciale
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V3.2 Speciale
Stronger community support and better developer experience
Best for Production
DeepSeek V3.2 Speciale
Wider enterprise adoption and proven at scale
by DeepSeek
| Capability | DeepSeek V3.2 Speciale | R1 0528 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
DeepSeek
DeepSeek
DeepSeek V3.2 Speciale saves you $1.23/month
That's 36% cheaper than R1 0528 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 Speciale | R1 0528 |
|---|---|---|
| Context Window | 164K | 164K |
| Max Output Tokens | 163,840 | 65,536 |
| Open Source | Yes | Yes |
| Created | Dec 1, 2025 | May 28, 2025 |
R1 0528 scores 79/100 (rank #29) compared to DeepSeek V3.2 Speciale's 40/100 (rank #170), giving it a 39-point advantage. R1 0528 is the stronger overall choice, though DeepSeek V3.2 Speciale may excel in specific areas like cost efficiency.
DeepSeek V3.2 Speciale is ranked #170 and R1 0528 is ranked #29 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from LMArena, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
DeepSeek V3.2 Speciale is cheaper at $1.20/M output tokens vs R1 0528's $2.15/M output tokens - 1.8x more expensive. Input token pricing: DeepSeek V3.2 Speciale at $0.40/M vs R1 0528 at $0.45/M.
DeepSeek V3.2 Speciale has a larger context window of 163,840 tokens compared to R1 0528's 163,840 tokens. A larger context window means the model can process longer documents and conversations.