| Signal | Google Gemini Pro Latest | Delta | Qwen3.5-Flash |
|---|---|---|---|
Capabilities | 100 | +17 | |
Pricing | 88 | -12 | |
Context window size | 96 | +0 | |
Recency | 100 | -- | |
Output Capacity | 80 | -- | |
Benchmarks | 0 | -66 | |
| Overall Result | 2 wins | of 6 | 2 wins |
Score History
40
current score
Qwen3.5-Flash
right now
68.7
current score
Alibaba
Qwen3.5-Flash saves you $780.50/month
That's $9366.00/year compared to Google Gemini Pro Latest at your current usage level of 100K calls/month.
| Metric | Google Gemini Pro Latest | Qwen3.5-Flash | Winner |
|---|---|---|---|
| Overall Score | 40 | 69 | Qwen3.5-Flash |
| Rank | #193 | #109 | Qwen3.5-Flash |
| Quality Rank | #193 | #109 | Qwen3.5-Flash |
| Adoption Rank | #193 | #109 | Qwen3.5-Flash |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 1000K | Google Gemini Pro Latest |
| Pricing | $2.00/$12.00/M | $0.07/$0.26/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | Google Gemini Pro Latest |
| Pricing | 88 | 100 | Qwen3.5-Flash |
| Context window size | 96 | 95 | Google Gemini Pro Latest |
| Recency | 100 | 100 | Google Gemini Pro Latest |
| Output Capacity | 80 | 80 | Google Gemini Pro Latest |
| Benchmarks | -- | 66 | Qwen3.5-Flash |
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 69/100 (rank #109), placing it in the top 63% of all 290 models tracked.
Qwen3.5-Flash has a 29-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5-Flash offers 98% better value per quality point. At 1M tokens/day, you'd spend $4.88/month with Qwen3.5-Flash vs $210.00/month with Google Gemini Pro Latest - a $205.13 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. Qwen3.5-Flash 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 ($0.26/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
Qwen3.5-Flash clearly outperforms Google Gemini Pro Latest with a significant 28.700000000000003-point lead. For most general use cases, Qwen3.5-Flash is the stronger choice. However, Google Gemini Pro Latest may still excel in niche scenarios.
Best for Quality
Google Gemini Pro Latest
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-Flash
98% 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 | Qwen3.5-Flash |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Alibaba
Qwen3.5-Flash saves you $17.57/month
That's 98% 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 | Qwen3.5-Flash |
|---|---|---|
| Context Window | 1.0M | 1M |
| Max Output Tokens | 65,536 | 65,536 |
| Open Source | No | No |
| Created | Apr 27, 2026 | Feb 25, 2026 |