Model Comparison
GPT-4 Turbo
vs. Qwen3.6 27B (Non-reasoning)
Comparing 2 AI models · 11 benchmarks · OpenAI, Alibaba
Recommended Pick
Al Qwen3.6 27B (Non-reasoning) 12 metric wins Strongest on: Value, Input price, Output price
Best Value
Qwen3.6 27B (Non-reasoning)
100.0 value score
44.5 reasoning / $1.35/1M
Lowest Price
Qwen3.6 27B (Non-reasoning)
$0.60/1M input price
Best Reasoning
Qwen3.6 27B (Non-reasoning)
44.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.6 27B (Non-reasoning)
26.6 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
Qwen3.6 27B (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.6 27B (Non-reasoning) is 16.7x cheaper on input tokens than GPT-4 Turbo.
Speed gap
Qwen3.6 27B (Non-reasoning) generates about 2.1x as many tokens per second as GPT-4 Turbo.
Reasoning gap
Qwen3.6 27B (Non-reasoning) leads GPT-4 Turbo by 18.1 points on reasoning.
Coding gap
Qwen3.6 27B (Non-reasoning) leads GPT-4 Turbo by 5.1 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-4 Turbo
OpenAI
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Qwen3.6 27B (Non-reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Op GPT-4 Turbo | Top Pick Al Qwen3.6 27B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $10.00/1M | $0.60/1M |
| Output Cost | $30.00/1M | $3.60/1M |
| Blended (3:1) | $15.00/1M | $1.35/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Nov 6, 2023 | Apr 22, 2026 |
| Performance & Speed | ||
| Throughput | 27.9 tok/s | 59.1 tok/s |
| TTFT | 1617ms | 1463ms |
| Latency | 1617ms | 1463ms |
| Composite Indices | ||
| Value Score | 5.3 | 100.0 |
| Reasoning Score | 26.4 | 44.5 |
| Intelligence | 13.7 | 37.1 |
| Coding | 21.5 | 26.6 |
| Standard Benchmarks | ||
| GPQA | — | 82.9% |
| MMLU Pro | 69.4% | — |
| HLE | 3.3% | 13.6% |
| LiveCodeBench | 29.1% | — |
| MATH 500 | 73.7% | — |
| AIME (Original) | 15.0% | — |
| SciCode | 31.9% | 37.3% |
| LCR | — | 55.0% |
| IFBench | — | 45.7% |
| TAU-bench v2 | — | 93.6% |
| TerminalBench Hard | — | 21.2% |
Key Takeaways
Qwen3.6 27B (Non-reasoning) offers the best value at $0.60/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.6 27B (Non-reasoning) has the strongest reasoning profile with a 44.5 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.6 27B (Non-reasoning) reaches a 26.6 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
GPT-4 Turbo
- General-purpose AI
- Versatile applications
Qwen3.6 27B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
