| Signal | Llama 4 Scout | Delta | Qwen3 8B |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 52 | -8 | |
Pricing | 100 | +0 | |
Context window size | 88 | +14 | |
Recency | 60 | -4 | |
Output Capacity | 70 | +5 | |
| Overall Result | 3 wins | of 6 | 2 wins |
Score History
54.2
current score
Qwen3 8B
right now
60.6
current score
Meta
Alibaba
Llama 4 Scout saves you $2.00/month
That's $24.00/year compared to Qwen3 8B at your current usage level of 100K calls/month.
| Metric | Llama 4 Scout | Qwen3 8B | Winner |
|---|---|---|---|
| Overall Score | 54 | 61 | Qwen3 8B |
| Rank | #162 | #147 | Qwen3 8B |
| Quality Rank | #162 | #147 | Qwen3 8B |
| Adoption Rank | #162 | #147 | Qwen3 8B |
| Parameters | -- | 8B | -- |
| Context Window | 328K | 41K | Llama 4 Scout |
| Pricing | $0.08/$0.30/M | $0.05/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Llama 4 Scout |
| Benchmarks | 52 | 60 | Qwen3 8B |
| Pricing | 100 | 100 | Llama 4 Scout |
| Context window size | 88 | 73 | Llama 4 Scout |
| Recency | 60 | 64 | Qwen3 8B |
| Output Capacity | 70 | 65 | Llama 4 Scout |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 54/100 (rank #162), placing it in the top 44% of all 290 models tracked.
Scores 61/100 (rank #147), placing it in the top 50% of all 290 models tracked.
Qwen3 8B has a 6-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Llama 4 Scout offers 16% better value per quality point. At 1M tokens/day, you'd spend $5.70/month with Llama 4 Scout vs $6.75/month with Qwen3 8B - a $1.05 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Llama 4 Scout also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (328K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (61/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Qwen3 8B has a moderate advantage with a 6.399999999999999-point lead in composite score. It wins on more signal dimensions, but Llama 4 Scout has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Llama 4 Scout
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Scout
16% lower pricing; better value at scale
Best for Reliability
Llama 4 Scout
Higher uptime and faster response speeds
Best for Prototyping
Llama 4 Scout
Stronger community support and better developer experience
Best for Production
Llama 4 Scout
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 4 Scout | Qwen3 8B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
Alibaba
Llama 4 Scout saves you $0.0660/month
That's 12% cheaper than Qwen3 8B at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Llama 4 Scout | Qwen3 8B |
|---|---|---|
| Context Window | 328K | 41K |
| Max Output Tokens | 16,384 | 8,192 |
| Open Source | Yes | Yes |
| Created | Apr 5, 2025 | Apr 28, 2025 |