| Signal | Google Gemini Pro Latest | Delta | Qwen2.5 VL 72B Instruct |
|---|---|---|---|
Capabilities | 100 | +50 | |
Pricing | 88 | -11 | |
Context window size | 96 | +24 | |
Recency | 100 | +51 | |
Output Capacity | 80 | +60 | |
| Overall Result | 4 wins | of 5 | 1 wins |
Score History
40
current score
Tied
right now
40
current score
Alibaba
Qwen2.5 VL 72B Instruct saves you $737.50/month
That's $8850.00/year compared to Google Gemini Pro Latest at your current usage level of 100K calls/month.
| Metric | Google Gemini Pro Latest | Qwen2.5 VL 72B Instruct | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #193 | #293 | Google Gemini Pro Latest |
| Quality Rank | #193 | #293 | Google Gemini Pro Latest |
| Adoption Rank | #193 | #293 | Google Gemini Pro Latest |
| Parameters | -- | 72B | -- |
| Context Window | 1049K | 32K | Google Gemini Pro Latest |
| Pricing | $2.00/$12.00/M | $0.25/$0.75/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | Google Gemini Pro Latest |
| Pricing | 88 | 99 | Qwen2.5 VL 72B Instruct |
| Context window size | 96 | 72 | Google Gemini Pro Latest |
| Recency | 100 | 49 | Google Gemini Pro Latest |
| Output Capacity | 80 | 20 | Google Gemini Pro Latest |
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 40/100 (rank #193), placing it in the top 34% of all 290 models tracked.
Scores 40/100 (rank #293), placing it in the top -1% 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.
Qwen2.5 VL 72B Instruct offers 93% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with Qwen2.5 VL 72B Instruct vs $210.00/month with Google Gemini Pro Latest - a $195.00 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. Qwen2.5 VL 72B Instruct 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 ($0.75/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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
Google Gemini Pro Latest and Qwen2.5 VL 72B Instruct are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Google Gemini Pro Latest
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen2.5 VL 72B Instruct
93% lower pricing; better value at scale
Best for Reliability
Google Gemini Pro Latest
Higher uptime and faster response speeds
Best for Prototyping
Google Gemini Pro Latest
Stronger community support and better developer experience
Best for Production
Google Gemini Pro Latest
Wider enterprise adoption and proven at scale
by ~google
| Capability | Google Gemini Pro Latest | Qwen2.5 VL 72B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Alibaba
Qwen2.5 VL 72B Instruct saves you $16.65/month
That's 93% cheaper than Google Gemini Pro Latest 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 | Google Gemini Pro Latest | Qwen2.5 VL 72B Instruct |
|---|---|---|
| Context Window | 1.0M | 32K |
| Max Output Tokens | 65,536 | -- |
| Open Source | No | Yes |
| Created | Apr 27, 2026 | Feb 1, 2025 |