Model Comparison
GPT-5.5 (medium)
vs. Qwen3 14B (Reasoning)
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
Op GPT-5.5 (medium) 10 metric wins Strongest on: Latency, Reasoning, Intelligence
Best Value
Qwen3 14B (Reasoning)
100.0 value score
51.2 reasoning / $0.73/1M
Lowest Price
Qwen3 14B (Reasoning)
$0.23/1M input price
Best Reasoning
GPT-5.5 (medium)
60.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 14B (Reasoning)
13.1 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 (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 14B (Reasoning) is 21.3x cheaper on input tokens than GPT-5.5 (medium).
Speed gap
Qwen3 14B (Reasoning) generates about 1.1x as many tokens per second as GPT-5.5 (medium).
Reasoning gap
GPT-5.5 (medium) leads Qwen3 14B (Reasoning) by 8.9 points on reasoning.
Top-pick rationale
GPT-5.5 (medium) wins 10 measurable categories, including Latency, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5.5 (medium)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3 14B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Op GPT-5.5 (medium) | Al Qwen3 14B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $5.00/1M | $0.23/1M |
| Output Cost | $30.00/1M | $2.22/1M |
| Blended (3:1) | $11.25/1M | $0.73/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Apr 23, 2026 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | 57.2 tok/s | 65.1 tok/s |
| TTFT | 8876ms | 1009ms |
| Latency | 8876ms | 31720ms |
| Composite Indices | ||
| Value Score | 7.6 | 100.0 |
| Reasoning Score | 60.1 | 51.2 |
| Intelligence | 47.1 | 10.1 |
| Coding | — | 13.1 |
| Math | — | 55.7 |
| Standard Benchmarks | ||
| GPQA | 92.6% | 60.4% |
| MMLU Pro | — | 77.4% |
| HLE | 40.6% | 4.3% |
| LiveCodeBench | — | 52.3% |
| MATH 500 | — | 96.1% |
| AIME 2025 | — | 55.7% |
| AIME (Original) | — | 76.3% |
| SciCode | 53.5% | 31.6% |
| LCR | 72.3% | 0.0% |
| IFBench | 71.0% | 40.5% |
| TAU-bench v2 | 91.8% | 34.5% |
| TerminalBench Hard | 57.6% | 3.8% |
Key Takeaways
Qwen3 14B (Reasoning) offers the best value at $0.23/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5.5 (medium) has the strongest reasoning profile with a 60.1 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3 14B (Reasoning) reaches a 13.1 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-5.5 (medium)
- Complex reasoning tasks
- Research & analysis
Qwen3 14B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
