Model Comparison
Qwen3.5 397B A17B (Non-reasoning)
vs. Seed-OSS-36B-Instruct
Comparing 2 AI models · 10 benchmarks · Alibaba, ByteDance Seed
Recommended Pick
Strongest on: Throughput, Latency, Intelligence
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
Seed-OSS-36B-Instruct
53.9 reasoning score
Blends available reasoning benchmarks
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 2.9x cheaper on input tokens than Qwen3.5 397B A17B (Non-reasoning).
Speed gap
Qwen3.5 397B A17B (Non-reasoning) generates about 1.6x as many tokens per second as Seed-OSS-36B-Instruct.
Reasoning gap
Seed-OSS-36B-Instruct leads Qwen3.5 397B A17B (Non-reasoning) by 8.2 points on reasoning.
Top-pick rationale
Qwen3.5 397B A17B (Non-reasoning) wins 10 measurable categories, including Throughput, Latency, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.5 397B A17B (Non-reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Seed-OSS-36B-Instruct
ByteDance Seed
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Chat with leading AI models
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Top Pick Al Qwen3.5 397B A17B (Non-reasoning) | By Seed-OSS-36B-Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.60/1M | $0.21/1M |
| Output Cost | $3.60/1M | $0.57/1M |
| Blended (3:1) | $1.35/1M | $0.30/1M |
| Specifications | ||
| Organization | Alibaba | ByteDance Seed |
| Release Date | Feb 16, 2026 | Aug 20, 2025 |
| Performance & Speed | ||
| Throughput | 61.6 tok/s | 38.7 tok/s |
| TTFT | 1951ms | 1478ms |
| Latency | 1951ms | 53149ms |
| Composite Indices | ||
| Value Score | 18.8 | 100.0 |
| Reasoning Score | 45.6 | 53.9 |
| Intelligence | 32.0 | 18.3 |
| Math | — | 84.7 |
| Standard Benchmarks | ||
| GPQA | 86.1% | 72.6% |
| MMLU Pro | — | 81.5% |
| HLE | 18.8% | 9.1% |
| LiveCodeBench | — | 76.5% |
| AIME 2025 | — | 84.7% |
| SciCode | 41.1% | 36.5% |
| LCR | 58.0% | 57.7% |
| IFBench | 51.6% | 41.9% |
| TAU-bench v2 | 83.9% | 49.4% |
| TerminalBench Hard | 35.6% | 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 53.9 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen3.5 397B A17B (Non-reasoning)
- General-purpose AI
- Versatile applications
Seed-OSS-36B-Instruct
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis