Model Comparison
Seed-OSS-36B-Instruct
vs. Trinity Large Thinking
Comparing 2 AI models · 0 benchmarks · ByteDance Seed, Arcee AI
Recommended Pick
Strongest on: Throughput, TTFT, Latency
Lowest Price
Seed-OSS-36B-Instruct
$0.21/1M input price
Best for Coding
Trinity Large Thinking
25.8 coding index
Differences That Matter
Speed gap
Trinity Large Thinking generates about 9.1x as many tokens per second as Seed-OSS-36B-Instruct.
Top-pick rationale
Trinity Large Thinking wins 3 measurable categories, including Throughput, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
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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Trinity Large Thinking
Arcee AI
TTFT
—
Time
—
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 | By Seed-OSS-36B-Instruct | Top Pick Ar Trinity Large Thinking |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.21/1M | — |
| Output Cost | $0.57/1M | — |
| Blended (3:1) | $0.30/1M | — |
| Specifications | ||
| Organization | ByteDance Seed | Arcee AI |
| Release Date | Aug 20, 2025 | Apr 1, 2026 |
| Performance & Speed | ||
| Throughput | 40.3 tok/s | 367.1 tok/s |
| TTFT | 2870ms | 1180ms |
| Latency | 52470ms | 6630ms |
| Composite Indices | ||
| Coding | — | 25.8 |
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.
Trinity Large Thinking reaches a 25.8 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
Seed-OSS-36B-Instruct
- Cost-sensitive applications
- High-volume processing
Trinity Large Thinking
- Code generation
- Software development