Model Comparison
GPT-5 (low)
vs. Qwen3.6 35B A3B (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
Strongest on: Value, Input price, Output price
Best Value
Qwen3.6 35B A3B (Non-reasoning)
100.0 value score
41.9 reasoning / $0.84/1M
Lowest Price
Qwen3.6 35B A3B (Non-reasoning)
$0.38/1M input price
Best Reasoning
GPT-5 (low)
69.4 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5 (low)
30.7 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
Qwen3.6 35B A3B (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.6 35B A3B (Non-reasoning) is 3.3x cheaper on input tokens than GPT-5 (low).
Speed gap
Qwen3.6 35B A3B (Non-reasoning) generates about 1.7x as many tokens per second as GPT-5 (low).
Reasoning gap
GPT-5 (low) leads Qwen3.6 35B A3B (Non-reasoning) by 27.5 points on reasoning.
Coding gap
GPT-5 (low) leads Qwen3.6 35B A3B (Non-reasoning) by 13.1 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5 (low)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.6 35B A3B (Non-reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Op GPT-5 (low) | Top Pick Al Qwen3.6 35B A3B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.25/1M | $0.38/1M |
| Output Cost | $10.00/1M | $2.25/1M |
| Blended (3:1) | $3.44/1M | $0.84/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Aug 7, 2025 | Apr 16, 2026 |
| Performance & Speed | ||
| Throughput | 82.6 tok/s | 144.3 tok/s |
| TTFT | 7897ms | 1333ms |
| Latency | 7897ms | 1333ms |
| Composite Indices | ||
| Value Score | 40.7 | 100.0 |
| Reasoning Score | 69.4 | 41.9 |
| Intelligence | 39.2 | 31.5 |
| Coding | 30.7 | 17.6 |
| Math | 83.0 | — |
| Standard Benchmarks | ||
| GPQA | 80.8% | 81.7% |
| MMLU Pro | 86.0% | — |
| HLE | 18.4% | 12.5% |
| LiveCodeBench | 76.3% | — |
| MATH 500 | 98.7% | — |
| AIME 2025 | 83.0% | — |
| AIME (Original) | 83.0% | — |
| SciCode | 39.1% | 1.3% |
| LCR | 58.7% | 56.7% |
| IFBench | 66.6% | 36.2% |
| TAU-bench v2 | 84.2% | 85.1% |
| TerminalBench Hard | 26.5% | 25.8% |
Key Takeaways
Qwen3.6 35B A3B (Non-reasoning) offers the best value at $0.38/1M, 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.
GPT-5 (low) reaches a 30.7 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
- Code generation
- Software development
Qwen3.6 35B A3B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing