| Signal | Llama 3 8B Instruct | Delta | Qwen3 4B (free) |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 24 | +24 | |
Pricing | 0 | -30 | |
Context window size | 62 | -11 | |
Recency | 5 | -69 | |
Output Capacity | 70 | +50 | |
| Overall Result | 2 wins | of 6 | 4 wins |
0
days ranked higher
0
days
30
days ranked higher
Meta
Alibaba
Qwen3 4B (free) saves you $5.00/month
That's $60.00/year compared to Llama 3 8B Instruct at your current usage level of 100K calls/month.
| Metric | Llama 3 8B Instruct | Qwen3 4B (free) | Winner |
|---|---|---|---|
| Overall Score | 30 | 63 | Qwen3 4B (free) |
| Rank | #301 | #201 | Qwen3 4B (free) |
| Quality Rank | #301 | #201 | Qwen3 4B (free) |
| Adoption Rank | #301 | #201 | Qwen3 4B (free) |
| Parameters | 8B | 4B | -- |
| Context Window | 8K | 41K | Qwen3 4B (free) |
| Pricing | $0.03/$0.04/M | Free | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Qwen3 4B (free) |
| Benchmarks | 24 | -- | Llama 3 8B Instruct |
| Pricing | 0 | 30 | Qwen3 4B (free) |
| Context window size | 62 | 73 | Qwen3 4B (free) |
| Recency | 5 | 73 | Qwen3 4B (free) |
| Output Capacity | 70 | 20 | Llama 3 8B Instruct |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 30/100 (rank #301), placing it in the top -3% of all 290 models tracked.
Scores 63/100 (rank #201), placing it in the top 31% of all 290 models tracked.
Qwen3 4B (free) has a 33-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Qwen3 4B (free) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (41K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (63/100) correlates with better nuance, coherence, and style in long-form content
Qwen3 4B (free) clearly outperforms Llama 3 8B Instruct with a significant 32.6-point lead. For most general use cases, Qwen3 4B (free) is the stronger choice. However, Llama 3 8B Instruct may still excel in niche scenarios.
Best for Quality
Llama 3 8B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 4B (free)
100% lower pricing; better value at scale
Best for Reliability
Llama 3 8B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Llama 3 8B Instruct
Stronger community support and better developer experience
Best for Production
Llama 3 8B Instruct
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 3 8B Instruct | Qwen3 4B (free) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
Alibaba
Qwen3 4B (free) saves you $0.1020/month
That's 100% cheaper than Llama 3 8B Instruct 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 3 8B Instruct | Qwen3 4B (free) |
|---|---|---|
| Context Window | 8K | 41K |
| Max Output Tokens | 16,384 | -- |
| Open Source | Yes | Yes |
| Created | Apr 18, 2024 | Apr 30, 2025 |
Qwen3 4B (free) scores 63/100 (rank #201) compared to Llama 3 8B Instruct's 30/100 (rank #301), giving it a 33-point advantage. Qwen3 4B (free) is the stronger overall choice, though Llama 3 8B Instruct may excel in specific areas like certain benchmarks.
Llama 3 8B Instruct is ranked #301 and Qwen3 4B (free) is ranked #201 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Qwen3 4B (free) is cheaper at $0.00/M output tokens vs Llama 3 8B Instruct's $0.04/M output tokens - 40.0x more expensive. Input token pricing: Llama 3 8B Instruct at $0.03/M vs Qwen3 4B (free) at $0.00/M.
Qwen3 4B (free) has a larger context window of 40,960 tokens compared to Llama 3 8B Instruct's 8,192 tokens. A larger context window means the model can process longer documents and conversations.