Which is cheaper, DeepSeek V3.5 or Llama 4 Scout?

DeepSeek V3.5 is cheaper at the input + output rate combined: $0.420 versus $0.800 per million tokens.

Which has higher quality, DeepSeek V3.5 or Llama 4 Scout?

DeepSeek V3.5 has the higher AA Intelligence Index score: 81 versus 75.

Can I switch between DeepSeek V3.5 and Llama 4 Scout via one API?

Both DeepSeek V3.5 and Llama 4 Scout are accessible through OpenRouter's unified gateway, which lets you switch models with one API key. Phase 2 of AIpricly will add scenario-routed automatic primary + fallback chains.

DeepSeek V3.5 vs Llama 4 Scout

Side-by-side pricing, capabilities, real-world cost across common scenarios, and our editorial pick.

添加模型最多可对比 4 个模型

全部价格按美元 / 百万 token 计

OVERALL WINNER

DeepSeek V3.5

DeepSeek · released 2025-12-01

Quality (AA Index)81

Input price$0.14

Output price$0.28

Context128K

Throughput95 tok/s

P50 latency1.5s

View full pricing

Llama 4 Scout

Meta · released 2026-01-25

Quality (AA Index)75

Input price$0.20

Output price$0.60

Context256K

Throughput380 tok/s

P50 latency0.2s

View full pricing

通过 OpenRouter 试用 DeepSeek V3.5 通过 OpenRouter 试用 Llama 4 Scout

链接通过我们的 OpenRouter 推荐链接在新标签页打开。查看推广披露

规格对比

绿色列 = 该指标获胜方

Metric	DeepSeek V3.5	Llama 4 Scout	Verdict
Input price /百万 tokens	$0.14	$0.20	DeepSeek V3.5 −30%
Output price /百万 tokens	$0.28	$0.60	DeepSeek V3.5 −53%
Context window max input length	128K	256K	Llama 4 Scout +2.0×
AA Quality AA Intelligence Index (0–100)	81	75	DeepSeek V3.5 +6pt
Arena Elo LMArena human-pref Elo (800–2000)	—	—	Tied
Throughput tokens per second	95	380	Llama 4 Scout +300%
P50 latency first token	1.5s	0.2s	Llama 4 Scout −87%
Vision multimodal	—	—	Tied
Function calling tool use			Tied
Reasoning mode chain-of-thought	—	—	Tied

常见场景月度费用

默认用量假设

Scenario	DeepSeek V3.5	Llama 4 Scout
customer support 1000K req · 600/180 tok	$134	$228
chat with docs 300K req · 4000/300 tok	$193	$294
code generation 500K req · 2000/500 tok	$210	$350
voice assistant 600K req · 800/200 tok	$101	$168

Our pick

For most workloads, choose DeepSeek V3.5.

30% cheaper input price, which compounds at scale

Roughly GPT-4o-class quality at roughly 90% off. Tradeoff is region availability (Chinese provider) and slower output throughput than Western frontier tiers.

Choose Llama 4 Scout instead if: 尚未记录这对模型的具体取舍。两者质量差距可能很小，最终决定因素更多是工作负载契合度、集成成本与团队熟悉度。

阅读完整深度分析

The Cheapest LLM API for Production in 2026

为何选择？通过智能路由同时使用两者

第二阶段 · 带故障转移链的网关

Set DeepSeek V3.5 as primary, Llama 4 Scout as fallback. One key, one bill, automatic failover when DeepSeek V3.5 errors.

第二阶段预览 · 网关尚未上线该接口目前不存在。网关计划在第二阶段上线——下面只是规划中的接口形态预览，不是可用的 API。上线时会通过 newsletter 通知订阅者。

查看计划中的 API 调用形态

$ curl https://api.aipricly.com/v1/chat/completions \
  -H "Authorization: Bearer $AIPC_KEY" \
  -d '{
    "routing": {
      "primary": "deepseek/deepseek-v3-5",
      "fallback": ["meta/llama-4-scout"]
    },
    "messages": [{"role": "user", "content": "..."}]
  }'