| Signal | Gemini 2.5 Pro | Delta | R1 |
|---|---|---|---|
Capabilities | 83 | +33 | |
Benchmarks | 85 | +5 | |
Pricing | 10 | +8 | |
Context window size | 96 | +19 | |
Recency | 83 | +27 | |
Output Capacity | 80 | +10 | |
| Overall Result | 6 wins | of 6 | 0 wins |
30
days ranked higher
0
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0
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DeepSeek
R1 saves you $430.00/month
That's $5160.00/year compared to Gemini 2.5 Pro at your current usage level of 100K calls/month.
| Metric | Gemini 2.5 Pro | R1 | Winner |
|---|---|---|---|
| Overall Score | 85 | 66 | Gemini 2.5 Pro |
| Rank | #50 | #159 | Gemini 2.5 Pro |
| Quality Rank | #50 | #159 | Gemini 2.5 Pro |
| Adoption Rank | #50 | #159 | Gemini 2.5 Pro |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 64K | Gemini 2.5 Pro |
| Pricing | $1.25/$10.00/M | $0.70/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 50 | Gemini 2.5 Pro |
| Benchmarks | 85 | 80 | Gemini 2.5 Pro |
| Pricing | 10 | 3 | Gemini 2.5 Pro |
| Context window size | 96 | 76 | Gemini 2.5 Pro |
| Recency | 83 | 57 | Gemini 2.5 Pro |
| Output Capacity | 80 | 70 | Gemini 2.5 Pro |
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 85/100 (rank #50), placing it in the top 83% of all 290 models tracked.
Scores 66/100 (rank #159), placing it in the top 46% of all 290 models tracked.
Gemini 2.5 Pro has a 19-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
R1 offers 72% better value per quality point. At 1M tokens/day, you'd spend $48.00/month with R1 vs $168.75/month with Gemini 2.5 Pro — a $120.75 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. R1 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 ($2.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (85/100) 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 clearly outperforms R1 with a significant 19.200000000000003-point lead. For most general use cases, Gemini 2.5 Pro is the stronger choice. However, R1 may still excel in niche scenarios.
Best for Quality
Gemini 2.5 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
R1
72% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Pro
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Pro
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Pro
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 2.5 Pro | R1 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
DeepSeek
R1 saves you $9.99/month
That's 70% cheaper than Gemini 2.5 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 | Gemini 2.5 Pro | R1 |
|---|---|---|
| Context Window | 1.0M | 64K |
| Max Output Tokens | 65,536 | 16,000 |
| Open Source | No | Yes |
| Created | Jun 17, 2025 | Jan 20, 2025 |
Gemini 2.5 Pro scores 85/100 (rank #50) compared to R1's 66/100 (rank #159), giving it a 19-point advantage. Gemini 2.5 Pro is the stronger overall choice, though R1 may excel in specific areas like cost efficiency.
Gemini 2.5 Pro is ranked #50 and R1 is ranked #159 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.
R1 is cheaper at $2.50/M output tokens vs Gemini 2.5 Pro's $10.00/M output tokens — 4.0x more expensive. Input token pricing: Gemini 2.5 Pro at $1.25/M vs R1 at $0.70/M.
Gemini 2.5 Pro has a larger context window of 1,048,576 tokens compared to R1's 64,000 tokens. A larger context window means the model can process longer documents and conversations.