Directory · Model comparison
DeepSeek-V4-Flash vs Llama 3.3 70B Instruct
Side-by-side API economics and benchmarks. Per-1M input and output rates, context window, and verified metrics.
Tale of the tape
Head-to-head specs pulled from each model profile.
| Metric | DeepSeek-V4-Flash | Llama 3.3 70B Instruct |
|---|---|---|
| Input cost / 1M | $0.44 | $0.10 |
| Output cost / 1M | $1.32 | $0.32 |
| Context window | 1,000,000 tokens | 128,000 tokens |
| MMLU score | — | 86% |
Cost verdict
Enter monthly input and output volumes to see total cost savings.
DeepSeek-V4-Flash
- Input: 1M × $0.44 = $0.44
- Output: 1M × $1.32 = $1.32
- Total
- $1.76
Llama 3.3 70B Instruct
- Input: 1M × $0.10 = $0.10
- Output: 1M × $0.32 = $0.32
- Total
- $0.42
Total cost savings
$1.34
Llama 3.3 70B Instruct saves $1.34 per month vs the other model at this volume.
Model routing savings
Uses this page's verified rates. DeepSeek-V4-Flash is the premium route (higher combined per-1M cost); Llama 3.3 70B Instruct handles routine traffic.
All premium
DeepSeek-V4-Flash
$88.00
100% of input and output on the premium route
Routed stack
80% → Llama 3.3 70B Instruct
20% → DeepSeek-V4-Flash
$34.40
- Routine slice
- $16.80
- Premium slice
- $17.60
Monthly savings
$53.60
60.9% lower
Rates pulled from this page's model database entries (deepseek-v4-flash, llama-3-3-70b-instruct) — same per-1M input/output figures as Tale of the tape. Production routing needs quality gates and monitoring.
Related comparisons
More head-to-head model matchups.