Model Comparison
Qwen3 30B A3B (Non-reasoning)
vs. Seed-OSS-36B-Instruct
Comparing 2 AI models · 12 benchmarks · Alibaba, ByteDance Seed
Recommended Pick
BySeed-OSS-36B-Instruct15 metric winsStrongest on: Value, Output price, Blended price
Best Value
Seed-OSS-36B-Instruct
100.0 value score
53.9 reasoning / $0.30/1M
Lowest Price
Qwen3 30B A3B (Non-reasoning)
$0.20/1M 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.
Speed gap
Qwen3 30B A3B (Non-reasoning) generates about 2.9x as many tokens per second as Seed-OSS-36B-Instruct.
Reasoning gap
Seed-OSS-36B-Instruct leads Qwen3 30B A3B (Non-reasoning) by 22.7 points on reasoning.
Top-pick rationale
Seed-OSS-36B-Instruct wins 15 measurable categories, including Value, Output price, Blended price, Reasoning.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 30B A3B (Non-reasoning)
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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Seed-OSS-36B-Instruct
ByteDance Seed
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 30B A3B (Non-reasoning) | Top Pick By Seed-OSS-36B-Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.20/1M | $0.21/1M |
| Output Cost | $0.80/1M | $0.57/1M |
| Blended (3:1) | $0.35/1M | $0.30/1M |
| Specifications | ||
| Organization | Alibaba | ByteDance Seed |
| Release Date | Apr 28, 2025 | Aug 20, 2025 |
| Performance & Speed | ||
| Throughput | 112.0 tok/s | 38.7 tok/s |
| TTFT | 1092ms | 1478ms |
| Latency | 1092ms | 53149ms |
| Composite Indices | ||
| Value Score | 49.7 | 100.0 |
| Reasoning Score | 31.2 | 53.9 |
| Intelligence | 6.8 | 18.3 |
| Math | 21.7 | 84.7 |
| Standard Benchmarks | ||
| GPQA | 51.5% | 72.6% |
| MMLU Pro | 71.0% | 81.5% |
| HLE | 4.6% | 9.1% |
| LiveCodeBench | 32.2% | 76.5% |
| MATH 500 | 86.3% | — |
| AIME 2025 | 21.7% | 84.7% |
| AIME (Original) | 26.0% | — |
| SciCode | 26.4% | 36.5% |
| LCR | 0.0% | 57.7% |
| IFBench | 31.9% | 41.9% |
| TAU-bench v2 | 22.2% | 49.4% |
| TerminalBench Hard | 6.8% | 6.8% |
Key Takeaways
Qwen3 30B A3B (Non-reasoning) offers the best value at $0.20/1M,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 30B A3B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
Seed-OSS-36B-Instruct
- Complex reasoning tasks
- Research & analysis
