Qwen-VL-Max vs Gemini 1.5 Pro
| Qwen-VL-Max | Gemini 1.5 Pro | |
|---|---|---|
| Provider | Alibaba | |
| Context Window | 32,768 | 2,000,000 |
| Release Date | 2024-05-13 | 2024-02-15 |
| Input Price | $3.00/ 1M tokens | $1.25/ 1M tokens |
| Output Price | $9.00/ 1M tokens | $5.00/ 1M tokens |
| Best for | — | multimodal · long-context analysis · chatbot · document processing |
Capabilities
| Qwen-VL-Max | Gemini 1.5 Pro | |
|---|---|---|
| Vision | ✗ | ✓ |
| Reasoning | ✗ | ✓ |
| Coding | ✗ | ✓ |
| Audio | ✗ | ✓ |
| Tools | ✗ | ✓ |
| Long Context | ✗ | ✓ |
Ranking Comparison
| Qwen-VL-Max | Gemini 1.5 Pro | |
|---|---|---|
| Overall | 13 | 76.9 |
| Benchmark | 0 | 70.8 |
| Capability | 0 | 100 |
| Price Efficiency | 100 | 100 |
| Context | 16.4 | 100 |
Overall = Benchmark 50% + Capability 20% + Price Efficiency 20% + Context 10%.
Benchmark Comparison
| Qwen-VL-Max | Gemini 1.5 Pro | |
|---|---|---|
| Coding | — | — |
| Reasoning | — | — |
| Math | — | — |
| Vision | — | — |
Price History
Qwen-VL-Max
No price history yet.
/ 1M tokens
Gemini 1.5 Pro
| Date | Input | Output |
|---|---|---|
| 2026-08-11 | $1.25 | $5.00 |
/ 1M tokens
Qwen-VL-Max
Qwen-VL-Max vision model
Gemini 1.5 Pro
Google's long-context multimodal model supporting up to 2M tokens.
Qwen-VL-Max
Data Reliability
Benchmark · ExperimentalOfficial · Experimental
Data confidence: 50%
Gemini 1.5 Pro
Data Reliability
Benchmark · VerifiedOfficial · Verified
Data confidence: 90%
Why compare these models?
Choose Qwen-VL-Max if:
- • General purpose workloads
Choose Gemini 1.5 Pro if:
- • Higher overall score
- • Lower input price
Frequently Asked Questions
Which model is better: Qwen-VL-Max or Gemini 1.5 Pro?
Based on overall scores, Gemini 1.5 Pro ranks higher (76.9 vs 13). See the comparison table for a full breakdown.
Which model is cheaper: Qwen-VL-Max or Gemini 1.5 Pro?
Gemini 1.5 Pro is cheaper: $1.25 vs $3 per 1M input tokens.
What are the capability differences between Qwen-VL-Max and Gemini 1.5 Pro?
Gemini 1.5 Pro: Vision, Reasoning, Coding, Audio, Tools, Long Context