Model Comparison
Qwen3 Max Thinking
vs. Seed-OSS-36B-Instruct
Comparing 2 AI models · 10 benchmarks · Alibaba, ByteDance Seed
Recommended Pick
Al Qwen3 Max Thinking 11 metric wins Strongest on: TTFT, Latency, Intelligence
Best Value
Seed-OSS-36B-Instruct
100.0 value score
55.3 reasoning / $0.30/1M
Lowest Price
Seed-OSS-36B-Instruct
$0.21/1M input price
Best Reasoning
Seed-OSS-36B-Instruct
55.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 Max Thinking
30.5 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 5.7x cheaper on input tokens than Qwen3 Max Thinking.
Reasoning gap
Seed-OSS-36B-Instruct leads Qwen3 Max Thinking by 4.6 points on reasoning.
Coding gap
Qwen3 Max Thinking leads Seed-OSS-36B-Instruct by 13.8 points on coding.
Top-pick rationale
Qwen3 Max Thinking wins 11 measurable categories, including TTFT, Latency, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 Max Thinking
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
—
tok/s
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Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Al Qwen3 Max Thinking | By Seed-OSS-36B-Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.20/1M | $0.21/1M |
| Output Cost | $6.00/1M | $0.57/1M |
| Blended (3:1) | $2.40/1M | $0.30/1M |
| Specifications | ||
| Organization | Alibaba | ByteDance Seed |
| Release Date | Jan 26, 2026 | Aug 20, 2025 |
| Performance & Speed | ||
| Throughput | — | 28.4 tok/s |
| TTFT | — | 1574ms |
| Latency | — | 71976ms |
| Composite Indices | ||
| Value Score | 11.5 | 100.0 |
| Reasoning Score | 50.7 | 55.3 |
| Intelligence | 39.8 | 25.2 |
| Coding | 30.5 | 16.7 |
| Math | — | 84.7 |
| Standard Benchmarks | ||
| GPQA | 86.1% | 72.6% |
| MMLU Pro | — | 81.5% |
| HLE | 26.2% | 9.1% |
| LiveCodeBench | — | 76.5% |
| AIME 2025 | — | 84.7% |
| SciCode | 43.1% | 36.5% |
| LCR | 66.0% | 57.7% |
| IFBench | 70.7% | 41.9% |
| TAU-bench v2 | 83.6% | 49.4% |
| TerminalBench Hard | 24.2% | 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 55.3 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3 Max Thinking reaches a 30.5 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 Max Thinking
- Code generation
- Software development
Seed-OSS-36B-Instruct
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
