Model Comparison
Qwen3.8-Flash-Next
vs. Llama 3.1 Tulu3 405B
Comparing 2 AI models · 0 benchmarks · Alibaba, Allen Institute for AI
Recommended Pick
AlQwen3.8-Flash-Next2 metric winsStrongest on: Reasoning, Intelligence
Lowest Price
Qwen3.8-Flash-Next
$0.15/1M 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
Reasoning gap
Qwen3.8-Flash-Next leads Llama 3.1 Tulu3 405B by 47.7 points on reasoning.
Top-pick rationale
Qwen3.8-Flash-Next wins 2 measurable categories, including 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
—
Llama 3.1 Tulu3 405B
Allen Institute for AI
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 | Al Llama 3.1 Tulu3 405B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.15/1M | — |
| Output Cost | $0.47/1M | — |
| Blended (3:1) | $0.23/1M | — |
| Specifications | ||
| Organization | Alibaba | Allen Institute for AI |
| Release Date | Aug 26, 2026 | Jan 30, 2025 |
| Performance & Speed | ||
| Throughput | 75.6 tok/s | — |
| TTFT | 2740ms | — |
| Latency | 29200ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 55.8 | 8.1 |
| Intelligence | 55.8 | 8.1 |
| Coding | 73.1 | — |
Key Takeaways
Qwen3.8-Flash-Next offers the best value at $0.15/1M,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
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Llama 3.1 Tulu3 405B
- General-purpose AI
- Versatile applications
