Model Comparison
Llama 3.3 Instruct 70B
vs. Qwen3 Coder Next
Comparing 2 AI models · 12 benchmarks · Meta, Alibaba
Recommended Pick
Al Qwen3 Coder Next 13 metric wins Strongest on: Value, Input price, Blended price
Best Value
Qwen3 Coder Next
100.0 value score
37.1 reasoning / $0.56/1M
Lowest Price
Qwen3 Coder Next
$0.35/1M input price
Best Reasoning
Qwen3 Coder Next
37.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 Coder Next
22.9 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Qwen3 Coder Next has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 Coder Next is 1.7x cheaper on input tokens than Llama 3.3 Instruct 70B.
Speed gap
Qwen3 Coder Next generates about 1.1x as many tokens per second as Llama 3.3 Instruct 70B.
Reasoning gap
Qwen3 Coder Next leads Llama 3.3 Instruct 70B by 9.8 points on reasoning.
Coding gap
Qwen3 Coder Next leads Llama 3.3 Instruct 70B by 12.2 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Llama 3.3 Instruct 70B
Meta
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3 Coder Next
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Me Llama 3.3 Instruct 70B | Top Pick Al Qwen3 Coder Next |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.58/1M | $0.35/1M |
| Output Cost | $0.71/1M | $1.20/1M |
| Blended (3:1) | $0.61/1M | $0.56/1M |
| Specifications | ||
| Organization | Meta | Alibaba |
| Release Date | Dec 6, 2024 | Feb 3, 2026 |
| Performance & Speed | ||
| Throughput | 94.8 tok/s | 102.9 tok/s |
| TTFT | 638ms | 1241ms |
| Latency | 638ms | 1241ms |
| Composite Indices | ||
| Value Score | 67.5 | 100.0 |
| Reasoning Score | 27.3 | 37.1 |
| Intelligence | 14.5 | 28.3 |
| Coding | 10.7 | 22.9 |
| Math | 7.7 | — |
| Standard Benchmarks | ||
| GPQA | 49.8% | 73.7% |
| MMLU Pro | 71.3% | — |
| HLE | 4.0% | 9.3% |
| LiveCodeBench | 28.8% | — |
| MATH 500 | 77.3% | — |
| AIME 2025 | 7.7% | — |
| AIME (Original) | 30.0% | — |
| SciCode | 26.0% | 32.3% |
| LCR | 15.0% | 40.0% |
| IFBench | 47.1% | 35.2% |
| TAU-bench v2 | 26.6% | 79.5% |
| TerminalBench Hard | 3.0% | 18.2% |
Key Takeaways
Qwen3 Coder Next offers the best value at $0.35/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3 Coder Next has the strongest reasoning profile with a 37.1 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3 Coder Next reaches a 22.9 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
Llama 3.3 Instruct 70B
- General-purpose AI
- Versatile applications
Qwen3 Coder Next
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
