Model Comparison
GPT-4.1 mini
vs. Qwen3 14B (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
Op GPT-4.1 mini 17 metric wins Strongest on: Throughput, TTFT, Latency
Best Value
Qwen3 14B (Non-reasoning)
100.0 value score
42.2 reasoning / $0.38/1M
Lowest Price
Qwen3 14B (Non-reasoning)
$0.23/1M input price
Best Reasoning
GPT-4.1 mini
46.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-4.1 mini
18.5 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
Qwen3 14B (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 14B (Non-reasoning) is 1.7x cheaper on input tokens than GPT-4.1 mini.
Speed gap
GPT-4.1 mini generates about 1.3x as many tokens per second as Qwen3 14B (Non-reasoning).
Reasoning gap
GPT-4.1 mini leads Qwen3 14B (Non-reasoning) by 3.8 points on reasoning.
Coding gap
GPT-4.1 mini leads Qwen3 14B (Non-reasoning) by 6.1 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-4.1 mini
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3 14B (Non-reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Op GPT-4.1 mini | Al Qwen3 14B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.40/1M | $0.23/1M |
| Output Cost | $1.60/1M | $0.82/1M |
| Blended (3:1) | $0.70/1M | $0.38/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Apr 14, 2025 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | 82.7 tok/s | 64.7 tok/s |
| TTFT | 578ms | 1025ms |
| Latency | 578ms | 1025ms |
| Composite Indices | ||
| Value Score | 59.4 | 100.0 |
| Reasoning Score | 46.0 | 42.2 |
| Intelligence | 22.9 | 12.8 |
| Coding | 18.5 | 12.4 |
| Math | 46.3 | 58.0 |
| Standard Benchmarks | ||
| GPQA | 66.4% | 47.0% |
| MMLU Pro | 78.1% | 67.5% |
| HLE | 4.6% | 4.2% |
| LiveCodeBench | 48.3% | 28.0% |
| MATH 500 | 92.5% | 87.1% |
| AIME 2025 | 46.3% | 58.0% |
| AIME (Original) | 43.0% | 28.0% |
| SciCode | 40.4% | 26.5% |
| LCR | 42.3% | 0.0% |
| IFBench | 38.3% | 23.9% |
| TAU-bench v2 | 52.9% | 32.2% |
| TerminalBench Hard | 7.6% | 5.3% |
Key Takeaways
Qwen3 14B (Non-reasoning) offers the best value at $0.23/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-4.1 mini has the strongest reasoning profile with a 46.0 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-4.1 mini reaches a 18.5 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-4.1 mini
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen3 14B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
