| Signal | DeepSeek V3 0324 | Delta | Gemini 2.5 Pro Preview 05-06 |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 81 | +81 | |
Pricing | 1 | -9 | |
Context window size | 83 | -13 | |
Recency | 66 | -8 | |
Output Capacity | 20 | -60 | |
| Overall Result | 1 wins | of 6 | 5 wins |
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DeepSeek
DeepSeek V3 0324 saves you $566.50/month
That's $6798.00/year compared to Gemini 2.5 Pro Preview 05-06 at your current usage level of 100K calls/month.
| Metric | DeepSeek V3 0324 | Gemini 2.5 Pro Preview 05-06 | Winner |
|---|---|---|---|
| Overall Score | 73 | 83 | Gemini 2.5 Pro Preview 05-06 |
| Rank | #128 | #58 | Gemini 2.5 Pro Preview 05-06 |
| Quality Rank | #128 | #58 | Gemini 2.5 Pro Preview 05-06 |
| Adoption Rank | #128 | #58 | Gemini 2.5 Pro Preview 05-06 |
| Parameters | -- | -- | -- |
| Context Window | 164K | 1049K | Gemini 2.5 Pro Preview 05-06 |
| Pricing | $0.20/$0.77/M | $1.25/$10.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Gemini 2.5 Pro Preview 05-06 |
| Benchmarks | 81 | -- | DeepSeek V3 0324 |
| Pricing | 1 | 10 | Gemini 2.5 Pro Preview 05-06 |
| Context window size | 83 | 96 | Gemini 2.5 Pro Preview 05-06 |
| Recency | 66 | 74 | Gemini 2.5 Pro Preview 05-06 |
| Output Capacity | 20 | 80 | Gemini 2.5 Pro Preview 05-06 |
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 73/100 (rank #128), placing it in the top 56% of all 290 models tracked.
Scores 83/100 (rank #58), placing it in the top 80% of all 290 models tracked.
Gemini 2.5 Pro Preview 05-06 has a 9-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
DeepSeek V3 0324 offers 91% better value per quality point. At 1M tokens/day, you'd spend $14.55/month with DeepSeek V3 0324 vs $168.75/month with Gemini 2.5 Pro Preview 05-06 - a $154.20 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 0324 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 ($0.77/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (83/100) 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
Gemini 2.5 Pro Preview 05-06 has a moderate advantage with a 9.400000000000006-point lead in composite score. It wins on more signal dimensions, but DeepSeek V3 0324 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
DeepSeek V3 0324
Marginally better benchmark scores; both are excellent
Best for Cost
DeepSeek V3 0324
91% lower pricing; better value at scale
Best for Reliability
DeepSeek V3 0324
Higher uptime and faster response speeds
Best for Prototyping
DeepSeek V3 0324
Stronger community support and better developer experience
Best for Production
DeepSeek V3 0324
Wider enterprise adoption and proven at scale
by DeepSeek
| Capability | DeepSeek V3 0324 | Gemini 2.5 Pro Preview 05-06 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
DeepSeek
DeepSeek V3 0324 saves you $12.97/month
That's 91% cheaper than Gemini 2.5 Pro Preview 05-06 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 0324 | Gemini 2.5 Pro Preview 05-06 |
|---|---|---|
| Context Window | 164K | 1.0M |
| Max Output Tokens | -- | 65,535 |
| Open Source | Yes | No |
| Created | Mar 24, 2025 | May 7, 2025 |
Gemini 2.5 Pro Preview 05-06 scores 83/100 (rank #58) compared to DeepSeek V3 0324's 73/100 (rank #128), giving it a 9-point advantage. Gemini 2.5 Pro Preview 05-06 is the stronger overall choice, though DeepSeek V3 0324 may excel in specific areas like cost efficiency.
DeepSeek V3 0324 is ranked #128 and Gemini 2.5 Pro Preview 05-06 is ranked #58 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 0324 is cheaper at $0.77/M output tokens vs Gemini 2.5 Pro Preview 05-06's $10.00/M output tokens - 13.0x more expensive. Input token pricing: DeepSeek V3 0324 at $0.20/M vs Gemini 2.5 Pro Preview 05-06 at $1.25/M.
Gemini 2.5 Pro Preview 05-06 has a larger context window of 1,048,576 tokens compared to DeepSeek V3 0324's 163,840 tokens. A larger context window means the model can process longer documents and conversations.