Model Comparison
Qwen3 32B (Reasoning)
vs. Seed-OSS-36B-Instruct
Comparing 2 AI models · 12 benchmarks · Alibaba, ByteDance Seed
Recommended Pick
BySeed-OSS-36B-Instruct16 metric winsStrongest on: Value, Input price, Output price
Best Value
Seed-OSS-36B-Instruct
100.0 value score
53.9 reasoning / $0.30/1M
Lowest Price
Seed-OSS-36B-Instruct
$0.21/1M input price
Best Reasoning
Qwen3 32B (Reasoning)
58.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 32B (Reasoning)
15.3 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
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 3.3x cheaper on input tokens than Qwen3 32B (Reasoning).
Speed gap
Qwen3 32B (Reasoning) generates about 2.7x as many tokens per second as Seed-OSS-36B-Instruct.
Reasoning gap
Qwen3 32B (Reasoning) leads Seed-OSS-36B-Instruct by 4.6 points on reasoning.
Top-pick rationale
Seed-OSS-36B-Instruct wins 16 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.
Qwen3 32B (Reasoning)
Alibaba
TTFT
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Seed-OSS-36B-Instruct
ByteDance Seed
TTFT
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 32B (Reasoning) | Top Pick By Seed-OSS-36B-Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $0.21/1M |
| Output Cost | $8.40/1M | $0.57/1M |
| Blended (3:1) | $2.63/1M | $0.30/1M |
| Specifications | ||
| Organization | Alibaba | ByteDance Seed |
| Release Date | Apr 28, 2025 | Aug 20, 2025 |
| Performance & Speed | ||
| Throughput | 99.7 tok/s | 37.1 tok/s |
| TTFT | 1036ms | 1461ms |
| Latency | 21093ms | 55389ms |
| Composite Indices | ||
| Value Score | 12.4 | 100.0 |
| Reasoning Score | 58.5 | 53.9 |
| Intelligence | 11.5 | 18.3 |
| Coding | 15.3 | — |
| Math | 73.0 | 84.7 |
| Standard Benchmarks | ||
| GPQA | 66.8% | 72.6% |
| MMLU Pro | 79.8% | 81.5% |
| HLE | 8.3% | 9.1% |
| LiveCodeBench | 54.6% | 76.5% |
| MATH 500 | 96.1% | — |
| AIME 2025 | 73.0% | 84.7% |
| AIME (Original) | 80.7% | — |
| SciCode | 35.4% | 36.5% |
| LCR | 0.0% | 57.7% |
| IFBench | 36.3% | 41.9% |
| TAU-bench v2 | 29.8% | 49.4% |
| TerminalBench Hard | 3.0% | 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.
Qwen3 32B (Reasoning) has the strongest reasoning profile with a 58.5 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3 32B (Reasoning) reaches a 15.3 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
Qwen3 32B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Seed-OSS-36B-Instruct
- Cost-sensitive applications
- High-volume processing
