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DeepSeek R2 vs GPT-5

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

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
OVERALL WINNER

GPT-5

OpenAI · released 2026-01-15

Quality (AA Index)91
Input price$1.25
Output price$10.00
Context400K
Throughput120 tok/s
P50 latency0.7s

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规格对比

绿色列 = 该指标获胜方
MetricDeepSeek R2GPT-5Verdict
Input price
/百万 tokens
$0.55$1.25DeepSeek R2 −56%
Output price
/百万 tokens
$2.20$10.00DeepSeek R2 −78%
Context window
max input length
128K400KGPT-5 +3.1×
AA Quality
AA Intelligence Index (0–100)
8691GPT-5 +5pt
Arena Elo
LMArena human-pref Elo (800–2000)
Tied
Throughput
tokens per second
110120GPT-5 +9%
P50 latency
first token
1.2s0.7sGPT-5 −42%
Vision
multimodal
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
ScenarioDeepSeek R2GPT-5
customer support
1000K req · 600/180 tok
$726$2.5K
chat with docs
300K req · 4000/300 tok
$858$2.4K
code generation
500K req · 2000/500 tok
$1.1K$3.8K
voice assistant
600K req · 800/200 tok
$528$1.8K
Our pick

For most workloads, choose GPT-5.

  • 3.1× the context window — better for long documents and agents
  • 9% faster throughput — matters for streaming UX and voice agents

Best across-the-board quality but the most expensive token rate in the table; pick GPT-5 when reasoning depth or function-calling reliability outranks per-million-token spend.

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

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 GPT-5 as primary, DeepSeek R2 as fallback. One key, one bill, automatic failover when GPT-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": "openai/gpt-5",
      "fallback": ["deepseek/deepseek-r2"]
    },
    "messages": [{"role": "user", "content": "..."}]
  }'

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