| Signal | Llama 3.2 3B Instruct | Delta | R1 0528 |
|---|---|---|---|
Capabilities | 17 | -50 | |
Benchmarks | 33 | -47 | |
Pricing | 100 | +2 | |
Context window size | 78 | -5 | |
Recency | 25 | -45 | |
Output Capacity | 20 | -55 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
33.2
current score
R1 0528
right now
79.4
current score
Meta
DeepSeek
Llama 3.2 3B Instruct saves you $135.40/month
That's $1624.80/year compared to R1 0528 at your current usage level of 100K calls/month.
| Metric | Llama 3.2 3B Instruct | R1 0528 | Winner |
|---|---|---|---|
| Overall Score | 33 | 79 | R1 0528 |
| Rank | #333 | #40 | R1 0528 |
| Quality Rank | #333 | #40 | R1 0528 |
| Adoption Rank | #333 | #40 | R1 0528 |
| Parameters | 3B | -- | -- |
| Context Window | 80K | 164K | R1 0528 |
| Pricing | $0.05/$0.34/M | $0.50/$2.15/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 67 | R1 0528 |
| Benchmarks | 33 | 81 | R1 0528 |
| Pricing | 100 | 98 | Llama 3.2 3B Instruct |
| Context window size | 78 | 83 | R1 0528 |
| Recency | 25 | 70 | R1 0528 |
| Output Capacity | 20 | 75 | R1 0528 |
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 33/100 (rank #333), placing it in the top -14% of all 290 models tracked.
Scores 79/100 (rank #40), placing it in the top 87% of all 290 models tracked.
R1 0528 has a 46-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Llama 3.2 3B Instruct offers 85% better value per quality point. At 1M tokens/day, you'd spend $5.86/month with Llama 3.2 3B Instruct vs $39.75/month with R1 0528 - a $33.89 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. Llama 3.2 3B Instruct 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 ($0.34/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 Llama 3.2 3B Instruct with a significant 46.2-point lead. For most general use cases, R1 0528 is the stronger choice. However, Llama 3.2 3B Instruct may still excel in niche scenarios.
Best for Quality
Llama 3.2 3B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.2 3B Instruct
85% lower pricing; better value at scale
Best for Reliability
Llama 3.2 3B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Llama 3.2 3B Instruct
Stronger community support and better developer experience
Best for Production
Llama 3.2 3B Instruct
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 3.2 3B Instruct | R1 0528 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
DeepSeek
Llama 3.2 3B Instruct saves you $2.98/month
That's 86% 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 | Llama 3.2 3B Instruct | R1 0528 |
|---|---|---|
| Context Window | 80K | 164K |
| Max Output Tokens | -- | 32,768 |
| Open Source | Yes | Yes |
| Created | Sep 25, 2024 | May 28, 2025 |