Model Comparison
Qwen3.7 Max
vs. Seed-OSS-36B-Instruct
Comparing 2 AI models · 10 benchmarks · Alibaba, ByteDance Seed
Recommended Pick
Al Qwen3.7 Max 12 metric wins Strongest on: Throughput, Latency, Reasoning
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
Qwen3.7 Max
62.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.7 Max
50.1 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 11.9x cheaper on input tokens than Qwen3.7 Max.
Speed gap
Qwen3.7 Max generates about 7.4x as many tokens per second as Seed-OSS-36B-Instruct.
Reasoning gap
Qwen3.7 Max leads Seed-OSS-36B-Instruct by 7.1 points on reasoning.
Coding gap
Qwen3.7 Max leads Seed-OSS-36B-Instruct by 33.4 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.7 Max
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?
Full Comparison
| Metric | Top Pick Al Qwen3.7 Max | By Seed-OSS-36B-Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.50/1M | $0.21/1M |
| Output Cost | $7.50/1M | $0.57/1M |
| Blended (3:1) | $3.75/1M | $0.30/1M |
| Specifications | ||
| Organization | Alibaba | ByteDance Seed |
| Release Date | May 19, 2026 | Aug 20, 2025 |
| Performance & Speed | ||
| Throughput | 198.7 tok/s | 26.9 tok/s |
| TTFT | 1769ms | 1571ms |
| Latency | 13892ms | 75991ms |
| Composite Indices | ||
| Value Score | 9.0 | 100.0 |
| Reasoning Score | 62.3 | 55.3 |
| Intelligence | 56.6 | 25.2 |
| Coding | 50.1 | 16.7 |
| Math | — | 84.7 |
| Standard Benchmarks | ||
| GPQA | 92.3% | 72.6% |
| MMLU Pro | — | 81.5% |
| HLE | 38.1% | 9.1% |
| LiveCodeBench | — | 76.5% |
| AIME 2025 | — | 84.7% |
| SciCode | 48.8% | 36.5% |
| LCR | 69.0% | 57.7% |
| IFBench | 80.5% | 41.9% |
| TAU-bench v2 | 94.7% | 49.4% |
| TerminalBench Hard | 50.8% | 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.
Qwen3.7 Max has the strongest reasoning profile with a 62.3 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.7 Max reaches a 50.1 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
Qwen3.7 Max
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Seed-OSS-36B-Instruct
- Cost-sensitive applications
- High-volume processing
