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  5. GPT-5.3-CodexvsLing 3.0 Flash Sante (free)
Updated Sep 2026

GPT-5.3-CodexvsLing 3.0 Flash Sante (free)

Ling 3.0 Flash Sante (free) is cheaper than GPT-5.3-Codex at $0/M vs $1.75/M input tokens.

GPT-5.3-Codex and Ling 3.0 Flash Sante (free) compared across 19 shared prompts
SpecGPT-5.3-CodexLing 3.0 Flash Sante (free)
Input price$1.75/M tokensFree
Output price$14/M tokensFree
Context window400K tokens262K tokens
WeightsClosed—
Free API (OpenRouter)NoYes (1 provider)
ReleasedFeb 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 19 prompts both answered. Formatting stripped, words untouched.

Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

GPT-5.3-Codex203 words
Recipe: “Weeknight Volcano Pasta” 🌋🍝 A cozy, spicy-savory pasta made from pantry staples in about 25 minutes. Ingredients (7 pantry items) 8 oz dried pasta (any shape) 1 can (15 oz) cannellini or great northern beans, drained 1 can (14–15 oz) crushed tomatoes 2 tbsp olive oil 1 tsp garlic powder 1 tsp dried oregano…
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Ling 3.0 Flash Sante (free)137 words
The Midnight Cookie Vault A gooey, chocolatey skillet cookie that feels like a secret treasure. Ingredients (7): Butter (½ cup, softened) Brown sugar (¾ cup) All-purpose flour (1¼ cups) Eggs (2 large) Semi-sweet chocolate chips (½ cup) Baking powder (1 tsp) Vanilla extract (1 tsp) Instructions: Preheat oven to 350°F…
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Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

GPT-5.3-Codex429 words
Great concept, but three claims stand out as especially weak from an investor diligence perspective: “MindMeld AI reads your brainwaves to predict what you want to type before you think it.” (Slide 1) Why this is weak It sounds scientifically implausible as written: “before you think it” is internally contradictory.
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Ling 3.0 Flash Sante (free)408 words
Here are the 3 weakest claims, ranked by how much they undermine credibility: Slide 3: "94% accuracy" Why it’s weak: This is a vanity metric without context. In brain-computer interfaces, accuracy is meaningless without specifying vocabulary size, latency, user calibration time, and false-positive rates.
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Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

GPT-5.3-Codex551 words
Below is a clean LBO build using your assumptions only ($ in millions). Entry math (end FY2025) EV = (12.0 \times 120 = 1,440.0) Fees = (2.0\% \times 1,440.0 = 28.8) Total uses = (1,468.8) Debt at close (5.5x EBITDA): Term Loan = (4.0 \times 120 = 480.0) Mezz = (1.5 \times 120 = 180.0) Total debt = 660.0 Equity check…
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Ling 3.0 Flash Sante (free)349 words
HarborTech Services – 5-Year LBO Underwriting Entry Summary Item Value FY2025 Revenue / EBITDA $900m / $120m Purchase EV (12.0x) $1,440m Transaction fees (2%) $28.8m → equity Term Loan (4.0x) $480m @ 9% cash, 1% amort Mezzanine (1.5x) $180m @ 12% cash + 2% PIK Equity invested $808.8m Year-by-Year Model (FY2026–FY2030)…
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

GPT-5.3-Codex970 words
Dish Concept: “Forest Tide” Koji-cured venison loin, glazed venison cheek, sea urchin royale, charred celeriac, blackcurrant–shiso gastrique, and buckwheat-cacao tuile Narrative This dish is built around a deliberate tension: deep, iron-rich game (forest) against sweet-briny sea urchin (tide).
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Ling 3.0 Flash Sante (free)481 words
"Ephemeral Tides" — A Dish in Seven Movements Conceptual Narrative Inspired by the Japanese concept of mono no aware (the bittersweet beauty of transience), this dish explores the liminal boundary where ocean meets forest, fermentation meets freshness, and memory dissolves into the present.
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Advanced Investment Memo (IC Memo)

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B…

GPT-5.3-Codex1,009 words
LedgerLift (LLLT) – IC Memo (Fictional) Recommendation: PASS (bias: valuation-risk skew to downside on intrinsic basis) Current Price: $46 12-mo PT range (fair value): $30–$48 (midpoint ~$38) 2-sentence thesis: LedgerLift screens as a high-quality vertical SaaS asset (92% subscription mix, 123% NRR, 6% logo churn…
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Ling 3.0 Flash Sante (free)437 words
LedgerLift (LLLT) – IC Memo Confidential – For Internal Use Only 1) Recommendation & Thesis Pass (bias cautious). 12-month PT: $32–$48. Thesis: LLLT has defensible mid-market AP lock-in and solid NRR, but at $46 the stock trades above DCF-implied value ($28 base) and only just clears comps on revenue multiples; we need…
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Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

GPT-5.3-Codex1,188 words
Great prompt. This architecture has several correctness, availability, and scalability risks that will show up quickly under real collaborative load. Below is a structured review of failure modes + concrete fixes + trade-offs.
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Ling 3.0 Flash Sante (free)489 words
Architecture Analysis: Real-Time Collaborative Editor 🔴 Critical Issues Cross-Server Communication Gap (Race Condition) Problem: Server A broadcasts to its WebSocket clients, but Server B's clients only learn of changes via 2-second PostgreSQL polling.
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Our Verdict
GPT-5.3-Codex
GPT-5.3-Codex
Ling 3.0 Flash Sante (free)
Ling 3.0 Flash Sante (free)Runner-up

Not enough votes to call it. On the specs, GPT-5.3-Codex has the edge: bigger model tier, bigger context window, major provider backing.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-5.3-Codex
Input
$1.75
Output
$14.00
Ling 3.0 Flash Sante (free)
Input
$0.000
Output
$0.000
Where to run it

3 hosts

GPT-5.3-Codex2 hosts
HostInOutContextUptime
Azure AI Foundry$1.75 in·$14.00 out·400k·100% upOpenAI$1.75 in·$14.00 out·400k·100% up
Ling 3.0 Flash Sante (free)1 host
HostInOutContextUptime
NNovita$0 in·$0 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GPT-5.3-Codex is developed by OpenAI while Ling 3.0 Flash Sante (free) is developed by inclusionAI. GPT-5.3-Codex has a 400K token context window vs Ling 3.0 Flash Sante (free)'s 262K. You can compare their actual outputs across 19 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-5.3-Codex and Ling 3.0 Flash Sante (free) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 19 challenges so you can judge which fits your needs best.

GPT-5.3-Codex costs $1.75/M input tokens and Ling 3.0 Flash Sante (free) costs $0/M input tokens. Ling 3.0 Flash Sante (free) is $1.75/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of GPT-5.3-Codex and Ling 3.0 Flash Sante (free) across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

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Model pages

GPT-5.3-Codex logo
GPT-5.3-Codex53 outputs, specs and price
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