Model Comparison
Qwen3.8 2.4T A95B
vs. 105B (high)
Comparing 2 AI models · 0 benchmarks · Alibaba, Sarvam
Recommended Pick
Sa105B (high)4 metric winsStrongest on: Value, Input price, Output price
Best Value
105B (high)
100.0 value score
11.9 reasoning / $0.07/1M
Lowest Price
105B (high)
$0.04/1M input price
Best Reasoning
Qwen3.8 2.4T A95B
57.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.8 2.4T A95B
71.9 coding index
Differences That Matter
Best value
105B (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
105B (high) is 50x cheaper on input tokens than Qwen3.8 2.4T A95B.
Reasoning gap
Qwen3.8 2.4T A95B leads 105B (high) by 45.8 points on reasoning.
Top-pick rationale
105B (high) wins 4 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.8 2.4T A95B
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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105B (high)
Sarvam
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 Qwen3.8 2.4T A95B | Top Pick Sa 105B (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.00/1M | $0.04/1M |
| Output Cost | $6.00/1M | $0.17/1M |
| Blended (3:1) | $3.00/1M | $0.07/1M |
| Specifications | ||
| Organization | Alibaba | Sarvam |
| Release Date | Aug 12, 2026 | Mar 6, 2026 |
| Performance & Speed | ||
| Throughput | 40.0 tok/s | — |
| TTFT | 2630ms | — |
| Latency | 52610ms | — |
| Composite Indices | ||
| Value Score | 11.7 | 100.0 |
| Reasoning Score | 57.7 | 11.9 |
| Intelligence | 57.7 | 11.9 |
| Coding | 71.9 | — |
Key Takeaways
105B (high) offers the best value at $0.04/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.8 2.4T A95B has the strongest reasoning profile with a 57.7 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.8 2.4T A95B reaches a 71.9 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 2.4T A95B
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
105B (high)
- Cost-sensitive applications
- High-volume processing
