Which is cheaper, Llama 4 Scout or DeepSeek R2?

Llama 4 Scout is cheaper at the input + output rate combined: $0.800 versus $2.75 per million tokens.

Which has higher quality, Llama 4 Scout or DeepSeek R2?

DeepSeek R2 has the higher AA Intelligence Index score: 86 versus 75.

Can I switch between Llama 4 Scout and DeepSeek R2 via one API?

Both Llama 4 Scout and DeepSeek R2 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.

Llama 4 Scout vs DeepSeek R2

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

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

DeepSeek R2

DeepSeek · released 2026-02-15

Quality (AA Index)86

Input price$0.55

Output price$2.20

Context128K

Throughput110 tok/s

P50 latency1.2s

View full pricing

通过 OpenRouter 试用 Llama 4 Scout 通过 OpenRouter 试用 DeepSeek R2

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	Llama 4 Scout	DeepSeek R2	Verdict
Input price /百万 tokens	$0.20	$0.55	Llama 4 Scout −64%
Output price /百万 tokens	$0.60	$2.20	Llama 4 Scout −73%
Context window max input length	256K	128K	Llama 4 Scout +2.0×
AA Quality AA Intelligence Index (0–100)	75	86	DeepSeek R2 +11pt
Arena Elo LMArena human-pref Elo (800–2000)	—	—	Tied
Throughput tokens per second	380	110	Llama 4 Scout +245%
P50 latency first token	0.2s	1.2s	Llama 4 Scout −83%
Vision multimodal	—	—	Tied
Function calling tool use			Tied
Reasoning mode chain-of-thought	—

常见场景月度费用

默认用量假设

Scenario	Llama 4 Scout	DeepSeek R2
customer support 1000K req · 600/180 tok	$228	$726
chat with docs 300K req · 4000/300 tok	$294	$858
code generation 500K req · 2000/500 tok	$350	$1.1K
voice assistant 600K req · 800/200 tok	$168	$528

Our pick

For most workloads, choose Llama 4 Scout.

64% cheaper input price, which compounds at scale
2.0× the context window — better for long documents and agents
245% faster throughput — matters for streaming UX and voice agents

Choose DeepSeek R2 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 Llama 4 Scout as primary, DeepSeek R2 as fallback. One key, one bill, automatic failover when Llama 4 Scout 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": "meta/llama-4-scout",
      "fallback": ["deepseek/deepseek-r2"]
    },
    "messages": [{"role": "user", "content": "..."}]
  }'