| Signal | Llama 3.3 70B Instruct | Delta | Qwen3 Next 80B A3B Instruct (free) |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 71 | +4 | |
Pricing | 100 | 0 | |
Context window size | 81 | -5 | |
Recency | 44 | -51 | |
Output Capacity | 70 | +50 | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
66.8
current score
Qwen3 Next 80B A3B Instruct (free)
right now
67
current score
Meta
Alibaba
Qwen3 Next 80B A3B Instruct (free) saves you $26.00/month
That's $312.00/year compared to Llama 3.3 70B Instruct at your current usage level of 100K calls/month.
| Metric | Llama 3.3 70B Instruct | Qwen3 Next 80B A3B Instruct (free) | Winner |
|---|---|---|---|
| Overall Score | 67 | 67 | Qwen3 Next 80B A3B Instruct (free) |
| Rank | #102 | #100 | Qwen3 Next 80B A3B Instruct (free) |
| Quality Rank | #102 | #100 | Qwen3 Next 80B A3B Instruct (free) |
| Adoption Rank | #102 | #100 | Qwen3 Next 80B A3B Instruct (free) |
| Parameters | 70B | 80B | -- |
| Context Window | 131K | 262K | Qwen3 Next 80B A3B Instruct (free) |
| Pricing | $0.10/$0.32/M | Free | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Llama 3.3 70B Instruct |
| Benchmarks | 71 | 67 | Llama 3.3 70B Instruct |
| Pricing | 100 | 100 | Qwen3 Next 80B A3B Instruct (free) |
| Context window size | 81 | 86 | Qwen3 Next 80B A3B Instruct (free) |
| Recency | 44 | 95 | Qwen3 Next 80B A3B Instruct (free) |
| Output Capacity | 70 | 20 | Llama 3.3 70B Instruct |
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 67/100 (rank #102), placing it in the top 65% of all 290 models tracked.
Scores 67/100 (rank #100), placing it in the top 66% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
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 Next 80B A3B Instruct (free) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K 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 (67/100) correlates with better nuance, coherence, and style in long-form content
Llama 3.3 70B Instruct and Qwen3 Next 80B A3B Instruct (free) are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Llama 3.3 70B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 Next 80B A3B Instruct (free)
100% lower pricing; better value at scale
Best for Reliability
Llama 3.3 70B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Llama 3.3 70B Instruct
Stronger community support and better developer experience
Best for Production
Llama 3.3 70B Instruct
Wider enterprise adoption and proven at scale
by Meta
by Alibaba
| Capability | Llama 3.3 70B Instruct | Qwen3 Next 80B A3B Instruct (free) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Alibaba
Qwen3 Next 80B A3B Instruct (free) saves you $0.5640/month
That's 100% cheaper than Llama 3.3 70B 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 3.3 70B Instruct | Qwen3 Next 80B A3B Instruct (free) |
|---|---|---|
| Context Window | 131K | 262K |
| Max Output Tokens | 16,384 | -- |
| Open Source | Yes | Yes |
| Created | Dec 6, 2024 | Sep 11, 2025 |
Qwen3 Next 80B A3B Instruct (free) scores 67/100 (rank #100) compared to Llama 3.3 70B Instruct's 67/100 (rank #102), giving it a 0-point advantage. Qwen3 Next 80B A3B Instruct (free) is the stronger overall choice, though Llama 3.3 70B Instruct may excel in specific areas like certain benchmarks.
Llama 3.3 70B Instruct is ranked #102 and Qwen3 Next 80B A3B Instruct (free) is ranked #100 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Qwen3 Next 80B A3B Instruct (free) is cheaper at $0.00/M output tokens vs Llama 3.3 70B Instruct's $0.32/M output tokens - 320.0x more expensive. Input token pricing: Llama 3.3 70B Instruct at $0.10/M vs Qwen3 Next 80B A3B Instruct (free) at $0.00/M.
Qwen3 Next 80B A3B Instruct (free) has a larger context window of 262,144 tokens compared to Llama 3.3 70B Instruct's 131,072 tokens. A larger context window means the model can process longer documents and conversations.