Model Comparison
GPT-5 mini (minimal)
vs. Qwen3.6 27B (Reasoning)
Comparing 2 AI models · 10 benchmarks · OpenAI, Alibaba
Recommended Pick
Al Qwen3.6 27B (Reasoning) 10 metric wins Strongest on: Reasoning, Intelligence, Coding
Best Value
GPT-5 mini (minimal)
100.0 value score
37.6 reasoning / $0.69/1M
Lowest Price
GPT-5 mini (minimal)
$0.25/1M input price
Best Reasoning
Qwen3.6 27B (Reasoning)
50.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.6 27B (Reasoning)
36.5 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
GPT-5 mini (minimal) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GPT-5 mini (minimal) is 2.4x cheaper on input tokens than Qwen3.6 27B (Reasoning).
Speed gap
GPT-5 mini (minimal) generates about 1.6x as many tokens per second as Qwen3.6 27B (Reasoning).
Reasoning gap
Qwen3.6 27B (Reasoning) leads GPT-5 mini (minimal) by 13.0 points on reasoning.
Coding gap
Qwen3.6 27B (Reasoning) leads GPT-5 mini (minimal) by 14.6 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5 mini (minimal)
OpenAI
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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Qwen3.6 27B (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?
Full Comparison
| Metric | Op GPT-5 mini (minimal) | Top Pick Al Qwen3.6 27B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.25/1M | $0.60/1M |
| Output Cost | $2.00/1M | $3.60/1M |
| Blended (3:1) | $0.69/1M | $1.35/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Aug 7, 2025 | Apr 22, 2026 |
| Performance & Speed | ||
| Throughput | 92.2 tok/s | 57.0 tok/s |
| TTFT | 784ms | 1599ms |
| Latency | 784ms | 101252ms |
| Composite Indices | ||
| Value Score | 100.0 | 68.5 |
| Reasoning Score | 37.6 | 50.5 |
| Intelligence | 20.7 | 45.8 |
| Coding | 21.9 | 36.5 |
| Math | 46.7 | — |
| Standard Benchmarks | ||
| GPQA | 68.7% | 84.2% |
| MMLU Pro | 77.5% | — |
| HLE | 5.0% | 21.6% |
| LiveCodeBench | 54.5% | — |
| AIME 2025 | 46.7% | — |
| SciCode | 36.9% | 39.8% |
| LCR | 35.7% | 68.7% |
| IFBench | 45.6% | 67.6% |
| TAU-bench v2 | 31.9% | 94.2% |
| TerminalBench Hard | 14.4% | 34.8% |
Key Takeaways
GPT-5 mini (minimal) offers the best value at $0.25/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.6 27B (Reasoning) has the strongest reasoning profile with a 50.5 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.6 27B (Reasoning) reaches a 36.5 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
GPT-5 mini (minimal)
- Cost-sensitive applications
- High-volume processing
Qwen3.6 27B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
