Model Comparison
Qwen3.6 35B A3B (Non-reasoning)
vs. Qwen3 VL 235B A22B Instruct
Comparing 2 AI models · 10 benchmarks · Alibaba
Recommended Pick
Al Qwen3 VL 235B A22B Instruct 9 metric wins Strongest on: Value, Input price, Output price
Best Value
Qwen3 VL 235B A22B Instruct
100.0 value score
47.9 reasoning / $0.70/1M
Lowest Price
Qwen3 VL 235B A22B Instruct
$0.30/1M input price
Best Reasoning
Qwen3 VL 235B A22B Instruct
47.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.6 35B A3B (Non-reasoning)
17.6 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
Qwen3 VL 235B A22B Instruct has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 VL 235B A22B Instruct is 1.3x cheaper on input tokens than Qwen3.6 35B A3B (Non-reasoning).
Speed gap
Qwen3.6 35B A3B (Non-reasoning) generates about 3.1x as many tokens per second as Qwen3 VL 235B A22B Instruct.
Reasoning gap
Qwen3 VL 235B A22B Instruct leads Qwen3.6 35B A3B (Non-reasoning) by 6.0 points on reasoning.
Coding gap
Qwen3.6 35B A3B (Non-reasoning) leads Qwen3 VL 235B A22B Instruct by 1.1 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.6 35B A3B (Non-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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Qwen3 VL 235B A22B Instruct
Alibaba
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | Al Qwen3.6 35B A3B (Non-reasoning) | Top Pick Al Qwen3 VL 235B A22B Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.38/1M | $0.30/1M |
| Output Cost | $2.25/1M | $1.90/1M |
| Blended (3:1) | $0.84/1M | $0.70/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Apr 16, 2026 | Sep 23, 2025 |
| Performance & Speed | ||
| Throughput | 165.1 tok/s | 53.5 tok/s |
| TTFT | 1410ms | 1090ms |
| Latency | 1410ms | 1090ms |
| Composite Indices | ||
| Value Score | 72.5 | 100.0 |
| Reasoning Score | 41.9 | 47.9 |
| Intelligence | 31.5 | 20.8 |
| Coding | 17.6 | 16.5 |
| Math | — | 70.7 |
| Standard Benchmarks | ||
| GPQA | 81.7% | 71.2% |
| MMLU Pro | — | 82.3% |
| HLE | 12.5% | 6.3% |
| LiveCodeBench | — | 59.4% |
| AIME 2025 | — | 70.7% |
| SciCode | 1.3% | 35.9% |
| LCR | 56.7% | 31.7% |
| IFBench | 36.2% | 42.7% |
| TAU-bench v2 | 85.1% | 35.1% |
| TerminalBench Hard | 25.8% | 6.8% |
Key Takeaways
Qwen3 VL 235B A22B Instruct offers the best value at $0.30/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3 VL 235B A22B Instruct has the strongest reasoning profile with a 47.9 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.6 35B A3B (Non-reasoning) reaches a 17.6 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
Qwen3.6 35B A3B (Non-reasoning)
- Code generation
- Software development
Qwen3 VL 235B A22B Instruct
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
