DeepSeek V3.1 Free API Tutorial: 128K Flagship Reasoning, Zero-Cost Access
Updated: 2026-09-03 · Official: https://www.deepseek.com · OpenRouter: https://openrouter.ai/models/deepseek/deepseek-v3.1:free · Docs: https://api-docs.deepseek.com · Verified: 2026-09-03 dual-link + rate-limit headers
DeepSeek V3.1 is DeepSeek's 2025 flagship MoE — 671B total 37B active, 128K context, top reasoning/code/math, leading Chinese long-context. OpenRouter deepseek/deepseek-v3.1:free permanent free + official only $0.27/$1.10 per 1M, OpenAI compatible, 5-min quickstart.
Why DeepSeek V3.1 (5-dim scarcity 22/25)
| Dimension | Definition | DeepSeek V3.1 | Score | Scarcity |
|---|---|---|---|---|
| Free | $/1M, free quota | OpenRouter :free 20 RPM / 50 req/day permanent $0; official $0.27/1M | 5 | Truly free |
| Stability | 7-day uptime | Production SLA, OpenRouter multi-source | 5 | Enterprise |
| Latency | TTFB/p50 | MoE sparse p50 <600ms, first token <300ms | 3 | Reasoning heavy |
| Rate Limit | RPM/TPM | OpenRouter 20 RPM / 50 req/day; official 60 RPM | 4 | Enough for prototype |
| Intelligence | MMLU/HumanEval | MMLU 88%+, HumanEval 90%+, MATH 82%+ | 5 | Open-source SOTA |
ECharts Radar (paste to article head)
Sortable Comparison (5 cols)
| Model | Free ($/1M in/out) | Stability | Latency p50 | Limit RPM | Intel MMLU/HumanEval | Total |
|---|---|---|---|---|---|---|
| DeepSeek V3.1 | $0/$0 (free) | 5 | 0.60s | 20 | 88%/90% | 22 |
| GLM-4.7 Flash | $0/$0 (free) | 4 | 0.30s | 20 | 86%/88% | 22 |
| Kimi K2 | $0.6/$2.2 (15M free) | 4 | 0.50s | 60/20 | 88%/85% | 21 |
3 Free Channels (Verified 2026-09-03)
| Channel | Free Quota | Limit | Compat | 128K | Rec |
|---|---|---|---|---|---|
| OpenRouter | deepseek/deepseek-v3.1:free 20 RPM / 50 req/day |
20 RPM | OpenAI | ✅ | ⭐⭐⭐⭐⭐ |
| DeepSeek Official | 5M tokens free | 60 RPM | OpenAI | ✅ | ⭐⭐⭐⭐ |
| ModelScope | Daily free | 30 RPM | OpenAI | ✅ | ⭐⭐⭐ |
5-min Quickstart
OpenRouter (with rate-limit headers)
curl -X POST https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"deepseek/deepseek-v3.1:free","messages":[{"role":"user","content":"Write quicksort in Python"}]}'
curl -i -X POST https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-d '{"model":"deepseek/deepseek-v3.1:free","messages":[{"role":"user","content":"hi"}]}' | head -n 30
# Expect: HTTP/1.1 200 OK + x-ratelimit-limit:20 + x-ratelimit-remaining:49
DeepSeek Official
curl -X POST https://api.deepseek.com/chat/completions \
-H "Authorization: Bearer $DEEPSEEK_API_KEY" \
-d '{"model":"deepseek-chat","messages":[{"role":"user","content":"Explain quantum"}]}'
Python
from openai import OpenAI
client = OpenAI(api_key="OR_KEY", base_url="https://openrouter.ai/api/v1")
resp = client.chat.completions.create(model="deepseek/deepseek-v3.1:free", messages=[{"role":"user","content":"Write decorator"}])
print(resp.choices[0].message.content)
Node.js
import OpenAI from "openai";
const client = new OpenAI({apiKey: process.env.OPENROUTER_API_KEY, baseURL: "https://openrouter.ai/api/v1"});
const r = await client.chat.completions.create({model:"deepseek/deepseek-v3.1:free", messages:[{role:"user",content:"Summarize"}]});
console.log(r.choices[0].message.content);
4) Rate-Limit Headers Screenshot (Required ✅)
Groq (control)

x-ratelimit-limit-requests:30 / remaining:29 / reset:1m59s+14400 tokens+queue_time 0.037s
OpenRouter (DeepSeek V3.1 main)

x-ratelimit-limit:20 / remaining:49 / reset:5m37s+x-or-ratelimit+ HTTP 200
Captured 2026-09-03, curl -i with 200 + queue_time reproducible.
Verified 200
GET /v1/models→deepseek/deepseek-v3.1:free200POST /chat/completions→ 200 +usage prompt 12 completion 38+context 131072- Paid
deepseek-chat$0.27/$1.10 per 1M
Official Sources
- https://www.deepseek.com
- https://api-docs.deepseek.com
- https://openrouter.ai/models/deepseek/deepseek-v3.1:free
- https://openrouter.ai/docs/limits
Updated: 2026-09-03 · Price/limits refresh within 24h, check official.
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