Directory · Model comparison
DeepSeek-V4-Flash vs Llama 3.1 8B 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 3.1 8B Instruct |
|---|---|---|
| Input cost / 1M | $0.14 | $0.02 |
| Output cost / 1M | $0.28 | $0.03 |
| Context window | 1,000,000 tokens | 128,000 tokens |
| MMLU score | — | 69.4% |
Cost verdict
Enter monthly input and output volumes to see total cost savings.
DeepSeek-V4-Flash
- Input: 1M × $0.14 = $0.14
- Output: 1M × $0.28 = $0.28
- Total
- $0.42
Llama 3.1 8B Instruct
- Input: 1M × $0.02 = $0.02
- Output: 1M × $0.03 = $0.03
- Total
- $0.05
Total cost savings
$0.37
Llama 3.1 8B Instruct saves $0.37 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 3.1 8B Instruct handles routine traffic.
All premium
DeepSeek-V4-Flash
$21.00
100% of input and output on the premium route
Routed stack
80% → Llama 3.1 8B Instruct
20% → DeepSeek-V4-Flash
$6.20
- Routine slice
- $2.00
- Premium slice
- $4.20
Monthly savings
$14.80
70.5% lower
Rates pulled from this page's model database entries (deepseek-v4-flash, llama-3-1-8b-instruct) — same per-1M input/output figures as Tale of the tape. Production routing needs quality gates and monitoring.
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