Model Comparison
Qwen3.5 4B (Non-reasoning)
vs. Seed-OSS-36B-Instruct
Comparing 2 AI models · 10 benchmarks · Alibaba, ByteDance Seed
Recommended Pick
BySeed-OSS-36B-Instruct8 metric winsStrongest on: Throughput, Reasoning, Intelligence
Best Value
Qwen3.5 4B (Non-reasoning)
100.0 value score
31.6 reasoning / $0.06/1M
Lowest Price
Qwen3.5 4B (Non-reasoning)
$0.03/1M input price
Best Reasoning
Seed-OSS-36B-Instruct
53.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 4B (Non-reasoning)
20.3 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
Qwen3.5 4B (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 4B (Non-reasoning) is 7.0x cheaper on input tokens than Seed-OSS-36B-Instruct.
Speed gap
Seed-OSS-36B-Instruct generates about 1.2x as many tokens per second as Qwen3.5 4B (Non-reasoning).
Reasoning gap
Seed-OSS-36B-Instruct leads Qwen3.5 4B (Non-reasoning) by 22.3 points on reasoning.
Top-pick rationale
Seed-OSS-36B-Instruct wins 8 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.5 4B (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 | Al Qwen3.5 4B (Non-reasoning) | Top Pick By Seed-OSS-36B-Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.03/1M | $0.21/1M |
| Output Cost | $0.15/1M | $0.57/1M |
| Blended (3:1) | $0.06/1M | $0.30/1M |
| Specifications | ||
| Organization | Alibaba | ByteDance Seed |
| Release Date | Mar 2, 2026 | Aug 20, 2025 |
| Performance & Speed | ||
| Throughput | 30.6 tok/s | 36.0 tok/s |
| TTFT | 363ms | 1461ms |
| Latency | 363ms | 57006ms |
| Composite Indices | ||
| Value Score | 100.0 | 34.1 |
| Reasoning Score | 31.6 | 53.9 |
| Intelligence | 16.0 | 18.3 |
| Coding | 20.3 | — |
| Math | — | 84.7 |
| Standard Benchmarks | ||
| GPQA | 71.2% | 72.6% |
| MMLU Pro | — | 81.5% |
| HLE | 7.5% | 9.1% |
| LiveCodeBench | — | 76.5% |
| AIME 2025 | — | 84.7% |
| SciCode | 18.3% | 36.5% |
| LCR | 28.3% | 57.7% |
| IFBench | 33.3% | 41.9% |
| TAU-bench v2 | 87.7% | 49.4% |
| TerminalBench Hard | 11.4% | 6.8% |
Key Takeaways
Qwen3.5 4B (Non-reasoning) offers the best value at $0.03/1M,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 4B (Non-reasoning) reaches a 20.3 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
Qwen3.5 4B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Seed-OSS-36B-Instruct
- Complex reasoning tasks
- Research & analysis
