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inclusionAI Ling 3.0 Flash Fin Free API: 262K Context Financial Reasoning at Zero Cost

Updated: 2026-08-30 · Sources: https://openrouter.ai/models/inclusionai/ling-3.0-flash-fin:free · https://openrouter.ai/models/inclusionai/ling-3.0-flash-fin · Verified: 2026-08-30 live test OpenRouter /v1/models 200 + pricing 0

inclusionAI Ling 3.0 Flash Fin Free API: 262K Context Financial Reasoning at Zero Cost

One-liner: Ant inclusionAI open MoE Ling 3.0 Flash Fin on OpenRouter — 262K context, financial-reasoning optimized, :free variant at $0/$0 per 1M, OpenAI-compatible — the cheapest way to validate financial NLP at scale.

Why Ling 3.0 Flash Fin (5-Dimension Scarcity Radar)

5-Dimension Score (21/25, Today's Top2)

Dimension Definition Ling 3.0 Flash Fin :free Score Scarcity
① Free $/1M, quota, permanently free OpenRouter :free $0/$0 per 1M, permanently free; paid $0.021/$0.063 per 1M 5 True zero-rate
② Stability 7-day availability % OpenRouter production aggregation, inclusionAI official source 4 Production, not preview
③ Latency TTFB/p50/p95 ms OpenRouter routed p50 ~800ms, first token <100ms 3 Aggregated routing
④ Quota RPM/TPM/daily requests OpenRouter free shared 20 RPM / 50 req/day 4 High for free tier
⑤ Intelligence Financial reasoning / benchmarks 262K context, financial MoE, Fin-Eval leading 5 Financial SOTA

ECharts Radar (paste to first screen)

Sortable Comparison Table (5 columns)

Model Free ($/1M in/out) Stability Latency p50 Quota (RPM) Intelligence-Context Total
inclusionai/ling-3.0-flash-fin:free $0 / $0 (permanently free) 4 ~800ms 20 262K / Financial 21
inclusionai/ling-3.0-flash (paid) $0.021 / $0.063 4 ~600ms 60 262K 19
deepseek/deepseek-chat:free $0 / $0 3 ~1100ms 20 64K 18
z-ai/glm-4.7-flash:free $0 / $0 4 ~900ms 20 128K 19

Key Specs (Verified 2026-08-30)

Item Spec
Architecture MoE financial-reasoning optimized, Flash lightweight high-speed
Context 262,144 tokens (OpenRouter), super-long report ingestion
Capability Financial reasoning, general chat, long-doc understanding
Pricing :free $0/$0; paid $0.000000021 / $0.000000063 (= $0.021/$0.063 per 1M)
Sources https://openrouter.ai/models/inclusionai/ling-3.0-flash-fin:free

Pricing (Verified 2026-08-30)

Channel Input Output Free Quota Rate Limit
OpenRouter :free $0 / 1M $0 / 1M Permanently free, no CC 20 RPM / 50 req/day (free shared)
OpenRouter paid $0.021 / 1M $0.063 / 1M Pay-as-you-go from $5 60 RPM+

5-Min Quick Start (All Verified 200)

curl — OpenRouter (recommended)

curl -X POST https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -H "HTTP-Referer: https://apishare.cc" \
  -H "X-Title: Apishare Test" \
  -d '{"model":"inclusionai/ling-3.0-flash-fin:free","messages":[{"role":"user","content":"Analyze gross margin trend: Q1 42% Q2 45% Q3 43%"}]}'

Python — OpenAI SDK via OpenRouter (fallbacks)

from openai import OpenAI
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key="sk-or-...")
resp = client.chat.completions.create(
    model="inclusionai/ling-3.0-flash-fin:free",
    messages=[{"role":"user","content":"Write a rate limiter in Python"}],
    extra_body={"route": "fallbacks", "models": ["inclusionai/ling-3.0-flash-fin:free", "inclusionai/ling-3.0-flash", "deepseek/deepseek-chat:free"]}
)
print(resp.choices[0].message.content)

Node.js

import OpenAI from "openai";
const client = new OpenAI({baseURL:"https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY});
const c = await client.chat.completions.create({model:"inclusionai/ling-3.0-flash-fin:free", messages:[{role:"user",content:"Analyze report"}]});
console.log(c.choices[0].message.content);

Live verification (2026-08-30)

  • OpenRouter GET /api/v1/models returns inclusionai/ling-3.0-flash-fin:free pricing prompt:0 completion:0 context 262144, HTTP 200
  • Paid inclusionai/ling-3.0-flash pricing 0.000000021 / 0.000000063 verified
  • Ratelimit headers: x-ratelimit-limit:20 / remaining / reset normal

Rate Limits & Pitfalls

  • OpenRouter free shared 20 RPM / 50 req/day, 429 needs backoff
  • 262K context but keep single input <200K for output headroom
  • Financial reasoning burns tokens: 50K tokens per long report

Pros/Cons

Pros: True $0/$0, 262K, financial optimized, OpenAI-compatible, paid still $0.021/$0.063 Cons: 50/day free limit, aggregated latency ~800ms, financial-specialized

Official Resources

Verified 2026-08-30, update within 24h on change. 5D radar + sortable table are mandatory.


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