| Signal | DeepSeek V3 | Delta | ERNIE 4.5 VL 424B A47B |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 79 | +79 | |
Pricing | 1 | 0 | |
Context window size | 83 | +2 | |
Recency | 49 | -34 | |
Output Capacity | 87 | +17 | |
| Overall Result | 3 wins | of 6 | 2 wins |
9
days higher
3
days
18
days higher
DeepSeek
Baidu
DeepSeek V3 saves you $28.00/month
That's $336.00/year compared to ERNIE 4.5 VL 424B A47B at your current usage level of 100K calls/month.
| Metric | DeepSeek V3 | ERNIE 4.5 VL 424B A47B | Winner |
|---|---|---|---|
| Overall Score | 69 | 69 | DeepSeek V3 |
| Rank | #166 | #168 | DeepSeek V3 |
| Quality Rank | #166 | #168 | DeepSeek V3 |
| Adoption Rank | #166 | #168 | DeepSeek V3 |
| Parameters | -- | 424B | -- |
| Context Window | 164K | 123K | DeepSeek V3 |
| Pricing | $0.32/$0.89/M | $0.42/$1.25/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | DeepSeek V3 |
| Benchmarks | 79 | -- | DeepSeek V3 |
| Pricing | 1 | 1 | ERNIE 4.5 VL 424B A47B |
| Context window size | 83 | 81 | DeepSeek V3 |
| Recency | 49 | 83 | ERNIE 4.5 VL 424B A47B |
| Output Capacity | 87 | 70 | DeepSeek V3 |
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 69/100 (rank #166), placing it in the top 43% of all 290 models tracked.
Scores 69/100 (rank #168), placing it in the top 42% 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 offers 28% better value per quality point. At 1M tokens/day, you'd spend $18.15/month with DeepSeek V3 vs $25.05/month with ERNIE 4.5 VL 424B A47B - a $6.90 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 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 ($0.89/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (69/100) 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 and ERNIE 4.5 VL 424B A47B are extremely close in overall performance (only 0.30000000000001137 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
DeepSeek V3
Marginally better benchmark scores; both are excellent
Best for Cost
DeepSeek V3
28% lower pricing; better value at scale
Best for Reliability
DeepSeek V3
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V3
Stronger community support and better developer experience
Best for Production
DeepSeek V3
Wider enterprise adoption and proven at scale
by DeepSeek
| Capability | DeepSeek V3 | ERNIE 4.5 VL 424B A47B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
DeepSeek
Baidu
DeepSeek V3 saves you $0.6120/month
That's 27% cheaper than ERNIE 4.5 VL 424B A47B 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 | ERNIE 4.5 VL 424B A47B |
|---|---|---|
| Context Window | 164K | 123K |
| Max Output Tokens | 163,840 | 16,000 |
| Open Source | Yes | Yes |
| Created | Dec 26, 2024 | Jun 30, 2025 |
DeepSeek V3 scores 69/100 (rank #166) compared to ERNIE 4.5 VL 424B A47B 's 69/100 (rank #168), giving it a 0-point advantage. DeepSeek V3 is the stronger overall choice, though ERNIE 4.5 VL 424B A47B may excel in specific areas like certain benchmarks.
DeepSeek V3 is ranked #166 and ERNIE 4.5 VL 424B A47B is ranked #168 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.
DeepSeek V3 is cheaper at $0.89/M output tokens vs ERNIE 4.5 VL 424B A47B 's $1.25/M output tokens - 1.4x more expensive. Input token pricing: DeepSeek V3 at $0.32/M vs ERNIE 4.5 VL 424B A47B at $0.42/M.
DeepSeek V3 has a larger context window of 163,840 tokens compared to ERNIE 4.5 VL 424B A47B 's 123,000 tokens. A larger context window means the model can process longer documents and conversations.