Model Comparison
Qwen3 1.7B (Non-reasoning)
vs. Qwen3.5 122B A10B (Reasoning)
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3.5 122B A10B (Reasoning)10 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Qwen3 1.7B (Non-reasoning)
$0.00/1M input price
Best Reasoning
Qwen3.5 122B A10B (Reasoning)
47.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 122B A10B (Reasoning)
45.7 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Qwen3 1.7B (Non-reasoning) is ∞x cheaper on input tokens than Qwen3.5 122B A10B (Reasoning).
Reasoning gap
Qwen3.5 122B A10B (Reasoning) leads Qwen3 1.7B (Non-reasoning) by 28.4 points on reasoning.
Top-pick rationale
Qwen3.5 122B A10B (Reasoning) wins 10 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 1.7B (Non-reasoning)
Alibaba
TTFT
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tok/s
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Tokens
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Cost
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Qwen3.5 122B A10B (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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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 1.7B (Non-reasoning) | Top Pick Al Qwen3.5 122B A10B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.40/1M |
| Output Cost | $0.00/1M | $3.20/1M |
| Blended (3:1) | — | $1.10/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Apr 28, 2025 | Feb 24, 2026 |
| Performance & Speed | ||
| Throughput | — | 147.3 tok/s |
| TTFT | — | 1066ms |
| Latency | — | 14644ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 18.7 | 47.1 |
| Intelligence | 1.5 | 32.3 |
| Coding | — | 45.7 |
| Math | 7.3 | — |
| Standard Benchmarks | ||
| GPQA | 28.3% | 85.7% |
| MMLU Pro | 41.1% | — |
| HLE | 5.2% | 23.4% |
| LiveCodeBench | 12.6% | — |
| MATH 500 | 71.7% | — |
| AIME 2025 | 7.3% | — |
| AIME (Original) | 9.7% | — |
| SciCode | 6.9% | 42.0% |
| LCR | 0.0% | 66.7% |
| IFBench | 21.1% | 75.7% |
| TAU-bench v2 | 21.6% | 93.6% |
| TerminalBench Hard | 0.0% | 31.1% |
Key Takeaways
Qwen3 1.7B (Non-reasoning) offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 122B A10B (Reasoning) has the strongest reasoning profile with a 47.1 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.5 122B A10B (Reasoning) reaches a 45.7 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 1.7B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
Qwen3.5 122B A10B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
