Model Comparison
GPT-5 nano (minimal)
vs. Qwen2.5 Turbo
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
Op GPT-5 nano (minimal) 7 metric wins Strongest on: Throughput, TTFT, Latency
Best Value
Qwen2.5 Turbo
100.0 value score
28.8 reasoning / $0.09/1M
Lowest Price
GPT-5 nano (minimal)
$0.05/1M input price
Best Reasoning
Qwen2.5 Turbo
28.8 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Qwen2.5 Turbo has the strongest quality-to-price mix at 100.0 out of 100 value points.
Speed gap
GPT-5 nano (minimal) generates about 1.3x as many tokens per second as Qwen2.5 Turbo.
Reasoning gap
Qwen2.5 Turbo leads GPT-5 nano (minimal) by 6.9 points on reasoning.
Top-pick rationale
GPT-5 nano (minimal) wins 7 measurable categories, including Throughput, TTFT, Latency, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5 nano (minimal)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen2.5 Turbo
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Chat with leading AI models
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Top Pick Op GPT-5 nano (minimal) | Al Qwen2.5 Turbo |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.05/1M | $0.05/1M |
| Output Cost | $0.40/1M | $0.20/1M |
| Blended (3:1) | $0.14/1M | $0.09/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Aug 7, 2025 | Nov 18, 2024 |
| Performance & Speed | ||
| Throughput | 143.9 tok/s | 114.7 tok/s |
| TTFT | 604ms | 1027ms |
| Latency | 604ms | 1027ms |
| Composite Indices | ||
| Value Score | 48.4 | 100.0 |
| Reasoning Score | 21.9 | 28.8 |
| Intelligence | 8.0 | 6.3 |
| Math | 27.3 | — |
| Standard Benchmarks | ||
| GPQA | 42.8% | 41.0% |
| MMLU Pro | 55.6% | 63.3% |
| HLE | 4.1% | 4.2% |
| LiveCodeBench | 47.0% | 16.3% |
| MATH 500 | — | 80.5% |
| AIME 2025 | 27.3% | — |
| AIME (Original) | — | 12.0% |
| SciCode | 29.1% | 15.3% |
| LCR | 20.0% | — |
| IFBench | 32.5% | — |
| TAU-bench v2 | 25.7% | — |
| TerminalBench Hard | 6.8% | — |
Key Takeaways
GPT-5 nano (minimal) offers the best value at $0.05/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen2.5 Turbo has the strongest reasoning profile with a 28.8 reasoning score, combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
GPT-5 nano (minimal)
- Cost-sensitive applications
- High-volume processing
Qwen2.5 Turbo
- Complex reasoning tasks
- Research & analysis
Recommended Comparisons
Popular alternatives 
