Model Comparison
Qwen3 30B A3B 2507 (Reasoning)
vs. Qwen3.6 27B (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3 30B A3B 2507 (Reasoning)9 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3 30B A3B 2507 (Reasoning)
100.0 value score
56.5 reasoning / $0.75/1M
Lowest Price
Qwen3 30B A3B 2507 (Reasoning)
$0.20/1M input price
Best Reasoning
Qwen3 30B A3B 2507 (Reasoning)
56.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.6 27B (Non-reasoning)
46.6 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 30B A3B 2507 (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 30B A3B 2507 (Reasoning) is 3.0x cheaper on input tokens than Qwen3.6 27B (Non-reasoning).
Speed gap
Qwen3 30B A3B 2507 (Reasoning) generates about 2.3x as many tokens per second as Qwen3.6 27B (Non-reasoning).
Reasoning gap
Qwen3 30B A3B 2507 (Reasoning) leads Qwen3.6 27B (Non-reasoning) by 14.2 points on reasoning.
Coding gap
Qwen3.6 27B (Non-reasoning) leads Qwen3 30B A3B 2507 (Reasoning) by 34.5 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 30B A3B 2507 (Reasoning)
Alibaba
TTFT
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tok/s
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Tokens
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Cost
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Qwen3.6 27B (Non-reasoning)
Alibaba
TTFT
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tok/s
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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Al Qwen3 30B A3B 2507 (Reasoning) | Al Qwen3.6 27B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.20/1M | $0.60/1M |
| Output Cost | $2.40/1M | $3.60/1M |
| Blended (3:1) | $0.75/1M | $1.35/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Jul 30, 2025 | Apr 22, 2026 |
| Performance & Speed | ||
| Throughput | 139.4 tok/s | 61.7 tok/s |
| TTFT | 1154ms | 1581ms |
| Latency | 15499ms | 1581ms |
| Composite Indices | ||
| Value Score | 100.0 | 41.6 |
| Reasoning Score | 56.5 | 42.3 |
| Intelligence | 14.4 | 30.5 |
| Coding | 12.1 | 46.6 |
| Math | 56.3 | — |
| Standard Benchmarks | ||
| GPQA | 70.7% | 82.9% |
| MMLU Pro | 80.5% | — |
| HLE | 9.8% | 13.6% |
| LiveCodeBench | 70.7% | — |
| MATH 500 | 97.6% | — |
| AIME 2025 | 56.3% | — |
| AIME (Original) | 90.7% | — |
| SciCode | 33.3% | 37.3% |
| LCR | 59.0% | 55.0% |
| IFBench | 50.7% | 45.7% |
| TAU-bench v2 | 28.1% | 93.6% |
| TerminalBench Hard | 5.3% | 21.2% |
Key Takeaways
Qwen3 30B A3B 2507 (Reasoning) offers the best value at $0.20/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 30B A3B 2507 (Reasoning) has the strongest reasoning profile with a 56.5 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.6 27B (Non-reasoning) reaches a 46.6 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 30B A3B 2507 (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Qwen3.6 27B (Non-reasoning)
- Code generation
- Software development
