Model Comparison
Llama 3.3 Instruct 70B
vs. Phi-4 Multimodal Instruct
Comparing 2 AI models · 12 benchmarks · Meta, Microsoft
Recommended Pick
Me Llama 3.3 Instruct 70B 11 metric wins Strongest on: Throughput, TTFT, Latency
Lowest Price
Phi-4 Multimodal Instruct
$0.00/1M input price
Best Reasoning
Llama 3.3 Instruct 70B
27.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Llama 3.3 Instruct 70B
10.7 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Phi-4 Multimodal Instruct is ∞x cheaper on input tokens than Llama 3.3 Instruct 70B.
Speed gap
Llama 3.3 Instruct 70B generates about 5.6x as many tokens per second as Phi-4 Multimodal Instruct.
Reasoning gap
Llama 3.3 Instruct 70B leads Phi-4 Multimodal Instruct by 2.4 points on reasoning.
Top-pick rationale
Llama 3.3 Instruct 70B wins 11 measurable categories, including Throughput, TTFT, Latency, Reasoning.
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
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Time
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tok/s
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Tokens
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Cost
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Phi-4 Multimodal Instruct
Microsoft
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
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Which answer was more useful?
Full Comparison
| Metric | Top Pick Me Llama 3.3 Instruct 70B | Mi Phi-4 Multimodal Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.58/1M | $0.00/1M |
| Output Cost | $0.71/1M | $0.00/1M |
| Blended (3:1) | $0.61/1M | — |
| Specifications | ||
| Organization | Meta | Microsoft |
| Release Date | Dec 6, 2024 | Feb 26, 2025 |
| Performance & Speed | ||
| Throughput | 94.8 tok/s | 16.8 tok/s |
| TTFT | 638ms | 1330ms |
| Latency | 638ms | 1330ms |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 27.3 | 24.9 |
| Intelligence | 14.5 | 10.0 |
| Coding | 10.7 | — |
| Math | 7.7 | — |
| Standard Benchmarks | ||
| GPQA | 49.8% | 31.5% |
| MMLU Pro | 71.3% | 48.5% |
| HLE | 4.0% | 4.4% |
| LiveCodeBench | 28.8% | 13.1% |
| MATH 500 | 77.3% | 69.3% |
| AIME 2025 | 7.7% | — |
| AIME (Original) | 30.0% | 9.3% |
| SciCode | 26.0% | 11.0% |
| LCR | 15.0% | — |
| IFBench | 47.1% | — |
| TAU-bench v2 | 26.6% | — |
| TerminalBench Hard | 3.0% | — |
Key Takeaways
Phi-4 Multimodal Instruct offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Llama 3.3 Instruct 70B has the strongest reasoning profile with a 27.3 reasoning score, combining the available reasoning-heavy benchmarks.
Llama 3.3 Instruct 70B reaches a 10.7 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
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Phi-4 Multimodal Instruct
- Cost-sensitive applications
- High-volume processing
