| Signal | DeepSeek V4 Pro | Delta | Llama 3.2 3B Instruct (free) |
|---|---|---|---|
Capabilities | 67 | +50 | |
Benchmarks | 75 | +42 | |
Pricing | 99 | -1 | |
Context window size | 96 | +14 | |
Recency | 100 | +75 | |
Output Capacity | 93 | +73 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
75.7
current score
DeepSeek V4 Pro
right now
33.4
current score
DeepSeek
Meta
Llama 3.2 3B Instruct (free) saves you $87.00/month
That's $1044.00/year compared to DeepSeek V4 Pro at your current usage level of 100K calls/month.
| Metric | DeepSeek V4 Pro | Llama 3.2 3B Instruct (free) | Winner |
|---|---|---|---|
| Overall Score | 76 | 33 | DeepSeek V4 Pro |
| Rank | #62 | #332 | DeepSeek V4 Pro |
| Quality Rank | #62 | #332 | DeepSeek V4 Pro |
| Adoption Rank | #62 | #332 | DeepSeek V4 Pro |
| Parameters | -- | 3B | -- |
| Context Window | 1049K | 131K | DeepSeek V4 Pro |
| Pricing | $0.43/$0.87/M | Free | -- |
| Signal Scores | |||
| Capabilities | 67 | 17 | DeepSeek V4 Pro |
| Benchmarks | 75 | 33 | DeepSeek V4 Pro |
| Pricing | 99 | 100 | Llama 3.2 3B Instruct (free) |
| Context window size | 96 | 81 | DeepSeek V4 Pro |
| Recency | 100 | 25 | DeepSeek V4 Pro |
| Output Capacity | 93 | 20 | DeepSeek V4 Pro |
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 76/100 (rank #62), placing it in the top 79% of all 290 models tracked.
Scores 33/100 (rank #332), placing it in the top -14% of all 290 models tracked.
DeepSeek V4 Pro has a 42-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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 (free) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (76/100) correlates with better nuance, coherence, and style in long-form content
DeepSeek V4 Pro clearly outperforms Llama 3.2 3B Instruct (free) with a significant 42.300000000000004-point lead. For most general use cases, DeepSeek V4 Pro is the stronger choice. However, Llama 3.2 3B Instruct (free) may still excel in niche scenarios.
Best for Quality
DeepSeek V4 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.2 3B Instruct (free)
100% lower pricing; better value at scale
Best for Reliability
DeepSeek V4 Pro
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V4 Pro
Stronger community support and better developer experience
Best for Production
DeepSeek V4 Pro
Wider enterprise adoption and proven at scale
by DeepSeek
| Capability | DeepSeek V4 Pro | Llama 3.2 3B Instruct (free) |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
DeepSeek
Meta
Llama 3.2 3B Instruct (free) saves you $1.83/month
That's 100% cheaper than DeepSeek V4 Pro 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 V4 Pro | Llama 3.2 3B Instruct (free) |
|---|---|---|
| Context Window | 1.0M | 131K |
| Max Output Tokens | 384,000 | -- |
| Open Source | Yes | Yes |
| Created | Apr 24, 2026 | Sep 25, 2024 |