Model Comparison
GPT-5 (low)
vs. Qwen3.5 397B A17B (Reasoning)
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
Al Qwen3.5 397B A17B (Reasoning) 14 metric wins Strongest on: Value, Input price, Output price
Best Value
Qwen3.5 397B A17B (Reasoning)
100.0 value score
53.9 reasoning / $1.35/1M
Lowest Price
Qwen3.5 397B A17B (Reasoning)
$0.60/1M input price
Best Reasoning
GPT-5 (low)
69.4 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 397B A17B (Reasoning)
41.3 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
Qwen3.5 397B A17B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 397B A17B (Reasoning) is 2.1x cheaper on input tokens than GPT-5 (low).
Speed gap
GPT-5 (low) generates about 1.4x as many tokens per second as Qwen3.5 397B A17B (Reasoning).
Reasoning gap
GPT-5 (low) leads Qwen3.5 397B A17B (Reasoning) by 15.6 points on reasoning.
Coding gap
Qwen3.5 397B A17B (Reasoning) leads GPT-5 (low) by 10.6 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5 (low)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.5 397B A17B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Op GPT-5 (low) | Top Pick Al Qwen3.5 397B A17B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.25/1M | $0.60/1M |
| Output Cost | $10.00/1M | $3.60/1M |
| Blended (3:1) | $3.44/1M | $1.35/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Aug 7, 2025 | Feb 16, 2026 |
| Performance & Speed | ||
| Throughput | 73.1 tok/s | 51.8 tok/s |
| TTFT | 11075ms | 1816ms |
| Latency | 11075ms | 63331ms |
| Composite Indices | ||
| Value Score | 50.6 | 100.0 |
| Reasoning Score | 69.4 | 53.9 |
| Intelligence | 39.2 | 45.0 |
| Coding | 30.7 | 41.3 |
| Math | 83.0 | — |
| Standard Benchmarks | ||
| GPQA | 80.8% | 89.3% |
| MMLU Pro | 86.0% | — |
| HLE | 18.4% | 27.3% |
| LiveCodeBench | 76.3% | — |
| MATH 500 | 98.7% | — |
| AIME 2025 | 83.0% | — |
| AIME (Original) | 83.0% | — |
| SciCode | 39.1% | 42.0% |
| LCR | 58.7% | 65.7% |
| IFBench | 66.6% | 78.8% |
| TAU-bench v2 | 84.2% | 95.6% |
| TerminalBench Hard | 26.5% | 40.9% |
Key Takeaways
Qwen3.5 397B A17B (Reasoning) offers the best value at $0.60/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5 (low) has the strongest reasoning profile with a 69.4 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.5 397B A17B (Reasoning) reaches a 41.3 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 (low)
- Complex reasoning tasks
- Research & analysis
Qwen3.5 397B A17B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
