Financial Modeling Prep VS Twelve Data
Head-to-head market data API comparison.
UPDATED 2026-05-24 · 7 axes scored
Quick Decision
▶ PICK FINANCIAL MODELING PREP IF DATA-API
- Fundamentals research
- Budget-conscious devs
- Multi-asset portfolio apps
- DCF / valuation tools
- 13F institutional tracking
▶ PICK TWELVE DATA IF DATA-API
- Global coverage needs
- Technical indicator API
- Fintech apps
- Forex + crypto combo
Side-by-Side Matrix
| METRIC | FINANCIAL MODELING PREP | TWELVE DATA |
|---|---|---|
| API Quality | 4/5 | 4/5 |
| Doc Quality | 4/5 | 4/5 |
| Data Latency | minute | second |
| SDK Languages | 2 languages | 5 languages |
| Free Tier | Yes | Yes |
| Affiliate Program | No | Yes |
| Asset Coverage Breadth | 9 classes | 6 classes |
| Asset Coverage | US Equities · Global Equities · ETFs · Mutual Funds · Global Indices · Forex · Crypto · Commodities · Macroeconomic | US Equities · Global Equities · Forex · Crypto · ETFs · Indices |
| Historical Depth | 5 years (free/Starter) to 30+ years (Premium+); 1-min intraday on Ultimate | 30+ years (daily); intraday varies by plan |
| Starting Price | $0/mo | $0/mo |
| Rate Limits | Free: 250/day; Starter: 300/min; Premium: 750/min; Ultimate: 3,000/min | Credit-based; each endpoint consumes different credit amount |
Asset Class Coverage
Where the two providers overlap and where each has unique coverage.
| ASSET CLASS | FINANCIAL MODELING PREP | TWELVE DATA |
|---|---|---|
| Commodities | ✓ Covered | — |
| Crypto | ✓ Covered | ✓ Covered |
| ETFs | ✓ Covered | ✓ Covered |
| Forex | ✓ Covered | ✓ Covered |
| Global Equities | ✓ Covered | ✓ Covered |
| Global Indices | ✓ Covered | — |
| Indices | — | ✓ Covered |
| Macroeconomic | ✓ Covered | — |
| Mutual Funds | ✓ Covered | — |
| US Equities | ✓ Covered | ✓ Covered |
| TOTAL CLASSES | 9 | 6 |
Only Financial Modeling Prep
Mutual Funds · Global Indices · Commodities · Macroeconomic
Only Twelve Data
Indices
Shared · 5
US Equities · Global Equities · ETFs · Forex · Crypto
Pricing Tier Map
Full tier ladder side-by-side · names and prices as published by each provider · 4 vs 4 tiers.
FINANCIAL MODELING PREP · 4 TIERS FREE TIER
01
Free $0/mo
250 calls/day, EOD only, 5-year history
02
Starter $22/mo
300 calls/min, US coverage, 5-year history, annual fundamentals
03
Premium $59/mo
750 calls/min, UK+Canada added, 30-year history, intraday, technicals
04
Ultimate $149/mo
3,000 calls/min, global coverage, 1-min intraday, 13F, transcripts, 150GB
▲ Free Tier · 250 calls/day, EOD only, 5-year history, 150+ endpoints
TWELVE DATA · 4 TIERS FREE TIER
01
Basic (Free) $0/mo
800 API credits/day, 8 WebSocket trial credits, 3 markets
02
Grow $79/mo
Real-time US stocks/commodities/fundamentals, 20+ markets ($66/mo annual)
03
Pro $229/mo
EU real-time, fixed income, mutual funds, 70+ markets ($191/mo annual)
04
Ultra $999/mo
99.95% SLA, dedicated support, 84 markets ($832/mo annual)
▲ Free Tier · Free: 800 API credits/day, 8 WebSocket connections
Technical Stack Fit
SDK languages and data formats determine integration cost for your existing codebase.
| DIMENSION | FINANCIAL MODELING PREP | TWELVE DATA |
|---|---|---|
| API Types | REST · SDK | REST · WebSocket |
| SDK Languages | Python (community) · JavaScript (community) | Python · JavaScript · Java · PHP · R |
| Data Formats | JSON | JSON · CSV |
| Rate Limits | Free: 250/day; Starter: 300/min; Premium: 750/min; Ultimate: 3,000/min | Credit-based; each endpoint consumes different credit amount |
| Latency Class | minute | second |
Fit Profile
FINANCIAL MODELING PREP · PROFILE DATA-API
Best For
- Fundamentals research
- Budget-conscious devs
- Multi-asset portfolio apps
- DCF / valuation tools
- 13F institutional tracking
Not Ideal For
- Real-time HFT
- Tick-level order book
- Sub-second latency requirements
Full Financial Modeling Prep Review
TWELVE DATA · PROFILE DATA-API
Best For
- Global coverage needs
- Technical indicator API
- Fintech apps
- Forex + crypto combo
Not Ideal For
- Tick data / HFT
- Deep US options data
- Large bulk downloads
Full Twelve Data Review
Adjacent Comparisons
Related matchups — same category first, then cross-category for context.
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