| Signal | Gemini 2.5 Pro Preview 06-05 | Delta | Qwen3.5-Flash |
|---|---|---|---|
Capabilities | 83 | -- | |
Pricing | 10 | +10 | |
Context window size | 96 | +0 | |
Recency | 80 | -20 | |
Output Capacity | 80 | -- | |
Benchmarks | 0 | -67 | |
| Overall Result | 2 wins | of 6 | 2 wins |
27
days ranked higher
2
days
1
days ranked higher
Alibaba
Qwen3.5-Flash saves you $605.50/month
That's $7266.00/year compared to Gemini 2.5 Pro Preview 06-05 at your current usage level of 100K calls/month.
| Metric | Gemini 2.5 Pro Preview 06-05 | Qwen3.5-Flash | Winner |
|---|---|---|---|
| Overall Score | 84 | 79 | Gemini 2.5 Pro Preview 06-05 |
| Rank | #47 | #80 | Gemini 2.5 Pro Preview 06-05 |
| Quality Rank | #47 | #80 | Gemini 2.5 Pro Preview 06-05 |
| Adoption Rank | #47 | #80 | Gemini 2.5 Pro Preview 06-05 |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 1000K | Gemini 2.5 Pro Preview 06-05 |
| Pricing | $1.25/$10.00/M | $0.07/$0.26/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | Gemini 2.5 Pro Preview 06-05 |
| Pricing | 10 | 0 | Gemini 2.5 Pro Preview 06-05 |
| Context window size | 96 | 95 | Gemini 2.5 Pro Preview 06-05 |
| Recency | 80 | 100 | Qwen3.5-Flash |
| Output Capacity | 80 | 80 | Gemini 2.5 Pro Preview 06-05 |
| Benchmarks | -- | 67 | Qwen3.5-Flash |
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 84/100 (rank #47), placing it in the top 84% of all 290 models tracked.
Scores 79/100 (rank #80), placing it in the top 73% of all 290 models tracked.
With only a 5-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.
Qwen3.5-Flash offers 97% better value per quality point. At 1M tokens/day, you'd spend $4.88/month with Qwen3.5-Flash vs $168.75/month with Gemini 2.5 Pro Preview 06-05 - a $163.88 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. 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 (84/100) 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 06-05 has a moderate advantage with a 4.8999999999999915-point lead in composite score. It wins on more signal dimensions, but Qwen3.5-Flash has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Gemini 2.5 Pro Preview 06-05
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-Flash
97% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Pro Preview 06-05
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Pro Preview 06-05
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Pro Preview 06-05
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 2.5 Pro Preview 06-05 | Qwen3.5-Flash |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Alibaba
Qwen3.5-Flash saves you $13.82/month
That's 97% cheaper than Gemini 2.5 Pro Preview 06-05 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 Preview 06-05 | Qwen3.5-Flash |
|---|---|---|
| Context Window | 1.0M | 1M |
| Max Output Tokens | 65,536 | 65,536 |
| Open Source | No | No |
| Created | Jun 5, 2025 | Feb 25, 2026 |
Gemini 2.5 Pro Preview 06-05 scores 84/100 (rank #47) compared to Qwen3.5-Flash's 79/100 (rank #80), giving it a 5-point advantage. Gemini 2.5 Pro Preview 06-05 is the stronger overall choice, though Qwen3.5-Flash may excel in specific areas like cost efficiency.
Gemini 2.5 Pro Preview 06-05 is ranked #47 and Qwen3.5-Flash is ranked #80 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.
Qwen3.5-Flash is cheaper at $0.26/M output tokens vs Gemini 2.5 Pro Preview 06-05's $10.00/M output tokens - 38.5x more expensive. Input token pricing: Gemini 2.5 Pro Preview 06-05 at $1.25/M vs Qwen3.5-Flash at $0.07/M.
Gemini 2.5 Pro Preview 06-05 has a larger context window of 1,048,576 tokens compared to Qwen3.5-Flash's 1,000,000 tokens. A larger context window means the model can process longer documents and conversations.