Model Comparison
GPT-4o mini
vs. Qwen3 14B (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
Strongest on: Value, Reasoning, Intelligence
Best Value
Qwen3 14B (Non-reasoning)
100.0 value score
42.2 reasoning / $0.38/1M
Lowest Price
GPT-4o mini
$0.15/1M input price
Best Reasoning
Qwen3 14B (Non-reasoning)
42.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 14B (Non-reasoning)
12.4 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
GPT-4o mini is 1.6x cheaper on input tokens than Qwen3 14B (Non-reasoning).
Reasoning gap
Qwen3 14B (Non-reasoning) leads GPT-4o mini by 16.6 points on reasoning.
Top-pick rationale
Qwen3 14B (Non-reasoning) wins 12 measurable categories, including Value, Reasoning, Intelligence, Math.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-4o 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 | Op GPT-4o mini | Top Pick Al Qwen3 14B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.15/1M | $0.23/1M |
| Output Cost | $0.60/1M | $0.82/1M |
| Blended (3:1) | $0.26/1M | $0.38/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Jul 18, 2024 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | 62.2 tok/s | 61.3 tok/s |
| TTFT | 526ms | 1043ms |
| Latency | 526ms | 1043ms |
| Composite Indices | ||
| Value Score | 88.1 | 100.0 |
| Reasoning Score | 25.6 | 42.2 |
| Intelligence | 12.6 | 12.8 |
| Coding | — | 12.4 |
| Math | 14.7 | 58.0 |
| Standard Benchmarks | ||
| GPQA | 42.6% | 47.0% |
| MMLU Pro | 64.8% | 67.5% |
| HLE | 4.0% | 4.2% |
| LiveCodeBench | 23.4% | 28.0% |
| MATH 500 | 78.9% | 87.1% |
| AIME 2025 | 14.7% | 58.0% |
| AIME (Original) | 11.7% | 28.0% |
| SciCode | 22.9% | 26.5% |
| LCR | — | 0.0% |
| IFBench | 31.0% | 23.9% |
| TAU-bench v2 | — | 32.2% |
| TerminalBench Hard | — | 5.3% |
Key Takeaways
GPT-4o mini offers the best value at $0.15/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3 14B (Non-reasoning) has the strongest reasoning profile with a 42.2 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3 14B (Non-reasoning) reaches a 12.4 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-4o mini
- Cost-sensitive applications
- High-volume processing
Qwen3 14B (Non-reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development