Model Comparison
Qwen3.8-Flash-Next
vs. 105B (high)
Comparing 2 AI models · 0 benchmarks · Alibaba, Sarvam
Recommended Pick
AlQwen3.8-Flash-Next3 metric winsStrongest on: Value, Reasoning, Intelligence
Best Value
Qwen3.8-Flash-Next
100.0 value score
55.8 reasoning / $0.23/1M
Lowest Price
105B (high)
$0.04/1M input price
Best Reasoning
Qwen3.8-Flash-Next
55.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.8-Flash-Next
73.1 coding index
Differences That Matter
Best value
Qwen3.8-Flash-Next has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
105B (high) is 3.8x cheaper on input tokens than Qwen3.8-Flash-Next.
Reasoning gap
Qwen3.8-Flash-Next leads 105B (high) by 43.9 points on reasoning.
Top-pick rationale
Qwen3.8-Flash-Next wins 3 measurable categories, including Value, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.8-Flash-Next
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
105B (high)
Sarvam
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Secure AI Chat made in Europe
Processing terms vary by selected model. Review the current Privacy Policy and DPA before using sensitive data.
OpenAI-compatible inference
Choose from the current model catalog. Processing terms vary by selected model and service.
Full Comparison
| Metric | Top Pick Al Qwen3.8-Flash-Next | Sa 105B (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.15/1M | $0.04/1M |
| Output Cost | $0.47/1M | $0.17/1M |
| Blended (3:1) | $0.23/1M | $0.07/1M |
| Specifications | ||
| Organization | Alibaba | Sarvam |
| Release Date | Aug 26, 2026 | Mar 6, 2026 |
| Performance & Speed | ||
| Throughput | 75.6 tok/s | — |
| TTFT | 2740ms | — |
| Latency | 29200ms | — |
| Composite Indices | ||
| Value Score | 100.0 | 67.7 |
| Reasoning Score | 55.8 | 11.9 |
| Intelligence | 55.8 | 11.9 |
| Coding | 73.1 | — |
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-Flash-Next has the strongest reasoning profile with a 55.8 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.8-Flash-Next reaches a 73.1 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
Qwen3.8-Flash-Next
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
105B (high)
- Cost-sensitive applications
- High-volume processing
