Model Comparison
Qwen3.5 9B (Reasoning)
vs. Seed-OSS-36B-Instruct
Comparing 2 AI models · 10 benchmarks · Alibaba, ByteDance Seed
Recommended Pick
AlQwen3.5 9B (Reasoning)14 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3.5 9B (Reasoning)
100.0 value score
38.4 reasoning / $0.11/1M
Lowest Price
Qwen3.5 9B (Reasoning)
$0.10/1M input price
Best Reasoning
Seed-OSS-36B-Instruct
53.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 9B (Reasoning)
28.7 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
Qwen3.5 9B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 9B (Reasoning) is 2.1x cheaper on input tokens than Seed-OSS-36B-Instruct.
Speed gap
Qwen3.5 9B (Reasoning) generates about 1.4x as many tokens per second as Seed-OSS-36B-Instruct.
Reasoning gap
Seed-OSS-36B-Instruct leads Qwen3.5 9B (Reasoning) by 15.4 points on reasoning.
Top-pick rationale
Qwen3.5 9B (Reasoning) wins 14 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.
Qwen3.5 9B (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 | Top Pick Al Qwen3.5 9B (Reasoning) | By Seed-OSS-36B-Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.10/1M | $0.21/1M |
| Output Cost | $0.15/1M | $0.57/1M |
| Blended (3:1) | $0.11/1M | $0.30/1M |
| Specifications | ||
| Organization | Alibaba | ByteDance Seed |
| Release Date | Mar 2, 2026 | Aug 20, 2025 |
| Performance & Speed | ||
| Throughput | 53.4 tok/s | 38.7 tok/s |
| TTFT | 1291ms | 1478ms |
| Latency | 38722ms | 53149ms |
| Composite Indices | ||
| Value Score | 100.0 | 52.6 |
| Reasoning Score | 38.4 | 53.9 |
| Intelligence | 21.4 | 18.3 |
| Coding | 28.7 | — |
| Math | — | 84.7 |
| Standard Benchmarks | ||
| GPQA | 80.6% | 72.6% |
| MMLU Pro | — | 81.5% |
| HLE | 13.3% | 9.1% |
| LiveCodeBench | — | 76.5% |
| AIME 2025 | — | 84.7% |
| SciCode | 27.5% | 36.5% |
| LCR | 59.0% | 57.7% |
| IFBench | 66.7% | 41.9% |
| TAU-bench v2 | 86.8% | 49.4% |
| TerminalBench Hard | 24.2% | 6.8% |
Key Takeaways
Qwen3.5 9B (Reasoning) offers the best value at $0.10/1M,making it ideal for high-volume applications and cost-conscious projects.
Seed-OSS-36B-Instruct has the strongest reasoning profile with a 53.9 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.5 9B (Reasoning) reaches a 28.7 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
Qwen3.5 9B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Seed-OSS-36B-Instruct
- Complex reasoning tasks
- Research & analysis
