Model Comparison
Qwen3 VL 235B A22B (Reasoning)
vs. Gemini 3.7 Flash (high)
Comparing 2 AI models · 10 benchmarks · Alibaba, Google
Recommended Pick
GoGemini 3.7 Flash (high)10 metric winsStrongest on: Value, Output price, Blended price
Best Value
Gemini 3.7 Flash (high)
100.0 value score
66.1 reasoning / $1.50/1M
Lowest Price
Qwen3 VL 235B A22B (Reasoning)
$0.70/1M input price
Best Reasoning
Gemini 3.7 Flash (high)
66.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.7 Flash (high)
76.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Gemini 3.7 Flash (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 VL 235B A22B (Reasoning) is 1.1x cheaper on input tokens than Gemini 3.7 Flash (high).
Reasoning gap
Gemini 3.7 Flash (high) leads Qwen3 VL 235B A22B (Reasoning) by 8.8 points on reasoning.
Top-pick rationale
Gemini 3.7 Flash (high) wins 10 measurable categories, including Value, Output price, Blended price, Throughput.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 VL 235B A22B (Reasoning)
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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Gemini 3.7 Flash (high)
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 VL 235B A22B (Reasoning) | Top Pick Go Gemini 3.7 Flash (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $0.75/1M |
| Output Cost | $8.40/1M | $3.75/1M |
| Blended (3:1) | $2.63/1M | $1.50/1M |
| Specifications | ||
| Organization | Alibaba | |
| Release Date | Sep 23, 2025 | Aug 13, 2026 |
| Performance & Speed | ||
| Throughput | — | 515.0 tok/s |
| TTFT | — | 6354ms |
| Latency | — | 6354ms |
| Composite Indices | ||
| Value Score | 49.5 | 100.0 |
| Reasoning Score | 57.3 | 66.1 |
| Intelligence | 20.9 | 56.0 |
| Coding | — | 76.1 |
| Math | 88.3 | — |
| Standard Benchmarks | ||
| GPQA | 77.2% | 94.5% |
| MMLU Pro | 83.6% | — |
| HLE | 11.9% | 47.9% |
| LiveCodeBench | 64.6% | — |
| AIME 2025 | 88.3% | — |
| SciCode | 39.9% | 56.8% |
| LCR | 63.0% | 80.0% |
| IFBench | 56.5% | — |
| TAU-bench v2 | 54.1% | — |
| TerminalBench Hard | 11.4% | — |
Key Takeaways
Qwen3 VL 235B A22B (Reasoning) offers the best value at $0.70/1M,making it ideal for high-volume applications and cost-conscious projects.
Gemini 3.7 Flash (high) has the strongest reasoning profile with a 66.1 reasoning score,combining the available reasoning-heavy benchmarks.
Gemini 3.7 Flash (high) reaches a 76.1 coding index,making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen3 VL 235B A22B (Reasoning)
- Cost-sensitive applications
- High-volume processing
Gemini 3.7 Flash (high)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
