Model Comparison
QwQ 32B
vs. Seed-OSS-36B-Instruct
Comparing 2 AI models · 12 benchmarks · Alibaba, ByteDance Seed
Recommended Pick
By Seed-OSS-36B-Instruct 17 metric wins Strongest on: Value, Input price, Output price
Best Value
Seed-OSS-36B-Instruct
100.0 value score
55.3 reasoning / $0.30/1M
Lowest Price
Seed-OSS-36B-Instruct
$0.21/1M input price
Best Reasoning
Seed-OSS-36B-Instruct
55.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Seed-OSS-36B-Instruct
16.7 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
Seed-OSS-36B-Instruct has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Seed-OSS-36B-Instruct is 3.1x cheaper on input tokens than QwQ 32B.
Speed gap
Seed-OSS-36B-Instruct generates about 1.2x as many tokens per second as QwQ 32B.
Reasoning gap
Seed-OSS-36B-Instruct leads QwQ 32B by 9.7 points on reasoning.
Top-pick rationale
Seed-OSS-36B-Instruct wins 17 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
QwQ 32B
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Seed-OSS-36B-Instruct
ByteDance Seed
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Al QwQ 32B | Top Pick By Seed-OSS-36B-Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.66/1M | $0.21/1M |
| Output Cost | $1.00/1M | $0.57/1M |
| Blended (3:1) | $0.74/1M | $0.30/1M |
| Specifications | ||
| Organization | Alibaba | ByteDance Seed |
| Release Date | Mar 5, 2025 | Aug 20, 2025 |
| Performance & Speed | ||
| Throughput | 30.9 tok/s | 37.9 tok/s |
| TTFT | 452ms | 1710ms |
| Latency | 81077ms | 54468ms |
| Composite Indices | ||
| Value Score | 33.2 | 100.0 |
| Reasoning Score | 45.6 | 55.3 |
| Intelligence | 19.7 | 25.2 |
| Coding | — | 16.7 |
| Math | 29.0 | 84.7 |
| Standard Benchmarks | ||
| GPQA | 59.3% | 72.6% |
| MMLU Pro | 76.4% | 81.5% |
| HLE | 8.2% | 9.1% |
| LiveCodeBench | 63.1% | 76.5% |
| MATH 500 | 95.7% | — |
| AIME 2025 | 29.0% | 84.7% |
| AIME (Original) | 78.0% | — |
| SciCode | 35.8% | 36.5% |
| LCR | 25.0% | 57.7% |
| IFBench | 38.8% | 41.9% |
| TAU-bench v2 | — | 49.4% |
| TerminalBench Hard | — | 6.8% |
Key Takeaways
Seed-OSS-36B-Instruct offers the best value at $0.21/1M, making it ideal for high-volume applications and cost-conscious projects.
Seed-OSS-36B-Instruct has the strongest reasoning profile with a 55.3 reasoning score, combining the available reasoning-heavy benchmarks.
Seed-OSS-36B-Instruct reaches a 16.7 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
QwQ 32B
- General-purpose AI
- Versatile applications
Seed-OSS-36B-Instruct
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
