| Signal | Llama 3 70B Instruct | Delta | Qwen3 235B A22B |
|---|---|---|---|
Capabilities | 17 | -50 | |
Benchmarks | 60 | +5 | |
Pricing | 99 | +1 | |
Context window size | 62 | -19 | |
Recency | 0 | -64 | |
Output Capacity | 65 | 0 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
57
current score
Llama 3 70B Instruct
right now
54
current score
Meta
Alibaba
Llama 3 70B Instruct saves you $48.50/month
That's $582.00/year compared to Qwen3 235B A22B at your current usage level of 100K calls/month.
| Metric | Llama 3 70B Instruct | Qwen3 235B A22B | Winner |
|---|---|---|---|
| Overall Score | 57 | 54 | Llama 3 70B Instruct |
| Rank | #157 | #163 | Llama 3 70B Instruct |
| Quality Rank | #157 | #163 | Llama 3 70B Instruct |
| Adoption Rank | #157 | #163 | Llama 3 70B Instruct |
| Parameters | 70B | 235B | -- |
| Context Window | 8K | 131K | Qwen3 235B A22B |
| Pricing | $0.51/$0.74/M | $0.45/$1.82/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 67 | Qwen3 235B A22B |
| Benchmarks | 60 | 55 | Llama 3 70B Instruct |
| Pricing | 99 | 98 | Llama 3 70B Instruct |
| Context window size | 62 | 81 | Qwen3 235B A22B |
| Recency | 0 | 64 | Qwen3 235B A22B |
| Output Capacity | 65 | 65 | Qwen3 235B A22B |
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 57/100 (rank #157), placing it in the top 46% of all 290 models tracked.
Scores 54/100 (rank #163), placing it in the top 44% of all 290 models tracked.
With only a 3-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.
Llama 3 70B Instruct offers 45% better value per quality point. At 1M tokens/day, you'd spend $18.75/month with Llama 3 70B Instruct vs $34.13/month with Qwen3 235B A22B - a $15.38 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 3 70B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.74/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (57/100) correlates with better nuance, coherence, and style in long-form content
Llama 3 70B Instruct and Qwen3 235B A22B are extremely close in overall performance (only 3 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Llama 3 70B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3 70B Instruct
45% lower pricing; better value at scale
Best for Reliability
Llama 3 70B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Llama 3 70B Instruct
Stronger community support and better developer experience
Best for Production
Llama 3 70B Instruct
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 3 70B Instruct | Qwen3 235B A22B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
Alibaba
Llama 3 70B Instruct saves you $1.20/month
That's 40% cheaper than Qwen3 235B A22B 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 70B Instruct | Qwen3 235B A22B |
|---|---|---|
| Context Window | 8K | 131K |
| Max Output Tokens | 8,000 | 8,192 |
| Open Source | Yes | Yes |
| Created | Apr 18, 2024 | Apr 28, 2025 |