DeepSeek-V4-Flash vs Llama-3.3-70B-Instruct
Specs, VRAM requirements and download trends — updated 1 October 2026.
deepseek-ai · A · Open weights
Params
158.1 B
Context
1,048,576
30d
809 K
mit · commercial OK
meta-llama · B · Open weights
Params
70.6 B
Context
—
30d
210 K
llama3.3 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | DeepSeek-V4-Flash | Llama-3.3-70B-Instruct |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 158.1 B | 70.6 B |
| Architecture | DeepseekV4ForCausalLM | LlamaForCausalLM |
| Context length | 1,048,576 | 131,072 |
| Licence | mit | llama3.3 |
| Commercial use | Allowed | Conditional |
| Languages | — | 8 |
| Downloads 30d | 809,273 | 209,625 |
| Downloads all time | 12.9 M | 14.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | Yes — accept licence |
| First seen on the Hub | 2026-04-22 | 2024-11-26 |
| API input price / 1M tokens | $0.091 | $0.10 |
| API output price / 1M tokens | $0.18 | $0.32 |
| Est. cost per 1M input + 1M output tokens | $0.27 | $0.42 |
| Cached input / 1M tokens | $0.018 | — |
| AA Intelligence Index | 24.4 | 7.7 |
| AA Coding Index | 52 | 11.9 |
| AA Agentic Index | 26.3 | — |
| Max output tokens | 943,717 | 16,384 |
| API providers | 15 | 9 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | No |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
DeepSeek-V4-Flash
$0.27
Llama-3.3-70B-Instruct
$0.42
DeepSeek-V4-Flash is 1.5× cheaper at list price.
Download trend
Daily snapshots, last 89 days (28 Jul – 24 Oct)
3.1 M210 K
DeepSeek-V4-Flash
Llama-3.3-70B-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Llama-3.3-70B-Instruct · fp16
166.3 GB / 24 GB
DeepSeek-V4-Flash · fp16 @ 1024K ctx
3,211.0 GB / 24 GB