Model Comparison
Qwen3.8 Max
vs. Trinity Large Thinking
Comparing 2 AI models · 0 benchmarks · Alibaba, Arcee AI
Recommended Pick
ArTrinity Large Thinking7 metric winsStrongest on: Value, Input price, Output price
Best Value
Trinity Large Thinking
100.0 value score
18.7 reasoning / $0.41/1M
Lowest Price
Trinity Large Thinking
$0.25/1M input price
Best Reasoning
Qwen3.8 Max
58.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.8 Max
71.8 coding index
Differences That Matter
Best value
Trinity Large Thinking has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Trinity Large Thinking is 8.0x cheaper on input tokens than Qwen3.8 Max.
Speed gap
Trinity Large Thinking generates about 8.1x as many tokens per second as Qwen3.8 Max.
Reasoning gap
Qwen3.8 Max leads Trinity Large Thinking by 39.4 points on reasoning.
Coding gap
Qwen3.8 Max leads Trinity Large Thinking by 46.0 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.8 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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Trinity Large Thinking
Arcee AI
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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OpenAI-compatible inference
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Full Comparison
| Metric | Al Qwen3.8 Max | Top Pick Ar Trinity Large Thinking |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.00/1M | $0.25/1M |
| Output Cost | $6.00/1M | $0.90/1M |
| Blended (3:1) | $3.00/1M | $0.41/1M |
| Specifications | ||
| Organization | Alibaba | Arcee AI |
| Release Date | Aug 3, 2026 | Apr 1, 2026 |
| Performance & Speed | ||
| Throughput | 38.8 tok/s | 313.7 tok/s |
| TTFT | 2500ms | 1150ms |
| Latency | 53990ms | 7530ms |
| Composite Indices | ||
| Value Score | 42.7 | 100.0 |
| Reasoning Score | 58.1 | 18.7 |
| Intelligence | 58.1 | 18.7 |
| Coding | 71.8 | 25.8 |
Key Takeaways
Trinity Large Thinking offers the best value at $0.25/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.8 Max has the strongest reasoning profile with a 58.1 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.8 Max reaches a 71.8 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
Qwen3.8 Max
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Trinity Large Thinking
- Cost-sensitive applications
- High-volume processing
