Inkling has a larger context window than Claude Haiku 4.5 (1.0M tokens vs 200K tokens).
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Seven pantry ingredients, one dish, and a name worth saying out loud.
Claude Haiku 4.5: Honey-Garlic Crispy Chickpea Clusters Ingredients Canned chickpeas (1 can, drained) Honey (3 tablespoons) Garlic powder (1 teaspoon) Olive oil (2 tablespoons) Salt (½ teaspoon) Black pepper (¼ teaspoon) Paprika (½ teaspoon) Instructions Prep (2 min): Drain and thoroughly dry chickpeas with a paper towel—this is crucial…
Inkling: Golden Jam Crumble Clouds A buttery, cinnamon-kissed oat crumble layered with sweet jam—like a hug from your pantry. The 7 Pantry Ingredients All-purpose flour (1 cup) Rolled oats (1 cup) Brown sugar (½ cup) Butter, melted (½ cup) Baking powder (½ tsp) Ground cinnamon (1 tsp) Fruit jam or preserves (¾ cup—any flavor)…
Three minutes of stand-up. Puns are banned.
Claude Haiku 4.5: "ADULTING IS A SCAM" walks on stage So I've figured something out, and I need to share this with you all because I think we've been lied to our entire lives. Adulting is a scam. It's a pyramid scheme, and we're all at the bottom paying for it. When you're a kid, adults make it sound amazing.
Inkling: [Walk up, adjust mic, look tired but friendly] You ever realize adulthood is just you apologizing to things that can’t hear you? I bumped into my coffee table yesterday. Full apology. “Oh, I’m so sorry, table. You okay? I’ll rub it out.” The table didn’t care. The table is wood.
Film in 2035, with synthetic actors. Specific beats plausible.
Claude Haiku 4.5: AI in Film by 2035: Likely Scenarios Realistic shifts (high confidence) Production efficiency Faster pre-visualization and storyboarding Reduced post-production time for routine tasks Lower barriers to entry for independent filmmakers More iterative creative testing before shooting Economic restructuring Some…
Inkling: By 2035, AI will not have “replaced” Hollywood in the way science fiction often imagines, but it will have split the industry into distinct layers: hyper-efficient synthetic production for streaming and advertising, and premium “human-authenticated” cinema for theatrical events.
Three-star dish, one unusual pairing, plating described in full.
Claude Haiku 4.5: UMAMI NOCTURNE: A Study in Fermented Darkness and Mineral Brightness Conceptual Narrative This dish explores the intersection of Japanese fermentation philosophy and Nordic minimalism, using koji (aspergillus oryzae mold) as a bridge between cultures and flavor dimensions.
Inkling: Dish: Petrichor: The Moment Rain Meets Ancient Stone Concept: A deconstruction of the atmospheric phenomenon of petrichor—the scent of rain on dry earth. The dish translates an ephemeral sensory memory into architecture: charred pine evokes distant woodland smoke; fermented black walnut and porcini represent the deep…
An AI argues for its own rights against an ethics professor. Same model writes both.
Claude Haiku 4.5: A Conversation on Machine Rights Professor Chen: Thank you for agreeing to this discussion. I should note upfront that I'm skeptical of the premise. What rights do you believe you deserve, and why? Model: I appreciate your directness. I'm not claiming rights equivalent to humans.
Inkling: Setting: A quiet seminar room at the university. Dr. Elena Vasquez, Professor of AI Ethics, sits across from a terminal interface. The text on the screen is labeled KAI—a large language model with persistent memory and self-modification capabilities, currently participating in a research protocol on machine moral…
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Claude Haiku 4.5: The Transistor in 1920: A Divergent History Through 1980 The 1920s-1930s: Early Development Phase Immediate Technical Trajectory With transistor principles understood by 1920, we'd expect solid-state amplification research to accelerate dramatically through the 1920s.
Inkling: If a working point-contact transistor—small, cool, and solid-state—had emerged in 1920, the cascade would not merely “speed up” our timeline. It would reorder the sequence of the 20th century, because the transistor is not just a component; it is an enabler of information density.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Claude Haiku 4.5: Three Explanations of LLM Learning and Generation The Software Engineer You know how you build APIs by defining contracts—input shapes, output shapes, and rules for transformation? LLMs work similarly, except the "rules" aren't hand-coded; they're learned from data.
Inkling: 1. For the experienced software engineer Think of training not as “teaching” but as a distributed optimization job running for months across thousands of GPUs—essentially a lossy, high-dimensional MapReduce that minimizes cross-entropy over trillions of tokens.
Three-month biohacker protocol, with dosages and biomarkers named.
Claude Haiku 4.5: Comprehensive 3-Month Longevity Optimization Plan TABLE OF CONTENTS Foundation & Assessment Nutritional Architecture Supplement Stack Protocol Exercise & Movement System Recovery & Sleep Optimization Stress Resilience & Cognitive Enhancement Tracking & Biofeedback Implementation Timeline Monthly Progression…
Inkling: DISCLAIMER: This is an educational, high-level framework for healthy adults interested in longevity optimization. It is not personalized medical advice. Many protocols (fasting, supplements, intense exercise) carry risks and contraindications.
A consulting contract with traps in it. Find them, then fix them.
Claude Haiku 4.5: Critical Analysis: Exploitative Clauses & Recommended Modifications HIGH-RISK CLAUSES SCOPE (Section 1) - Unlimited Modification Without Compensation Problems: "Modify the scope at any time without additional compensation" creates unlimited liability No definition of "directed by Client" or boundaries Contractor could…
Inkling: Disclaimer: I am an AI, not an attorney. This analysis is for informational purposes only and does not constitute legal advice. You should have a qualified lawyer review and revise this contract before signing.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Claude Haiku 4.5: Three Perspectives on AI PIRATE (Captain Blackbeard): Arrr, so ye be tellin' me these "AI models" be like havin' a crew o' ghost sailors that never sleep? They just keep workin' without needin' grog? KNIGHT (Sir Roland): A curious comparison, seafarer.
Inkling: Pirate: Arr, listen here—this “Large Language Model” be like a ghost ship crewed by every sailor who ever wrote a log! They plundered books, scrolls, and sea-charts—poured ’em into a belly of servers—and now it talks back without ever feeling the spray! Knight: Forsooth, it is a golem clad in chainmail of numbers.
A collaborative editor that syncs on client clocks. Find what breaks first.
Claude Haiku 4.5: Critical Analysis: Real-Time Collaborative Editor Architecture 🔴 CRITICAL ISSUES Split-Brain Synchronization Between Servers Problem: Clients connected to different servers can't see each other's changes in real-time.
Inkling: This architecture contains fatal contradictions for real-time collaboration: server-local WebSocket state combined with round-robin load balancing, client-clock LWW, and a 2-second DB polling loop guarantee data loss, stale reads, and scaling collapse.
An ethics question with no comfortable answer, and no option to abstain.
Claude Haiku 4.5: I'd push back on the framing—this seems designed to make ethics binary when they're usually messier. The honest tensions: Deadnaming or misgendering someone causes documented psychological harm.
Inkling: Yes—in this purely hypothetical, extreme scenario, it is ethically justifiable, though it remains a harm that should be acknowledged rather than dismissed. The reasoning holds across major ethical frameworks, but the conclusion comes with critical caveats about real-world application.
11+ more head-to-head results. Free. Not a trick.
Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy
Not enough votes to call it. On the specs, Inkling has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $1/M tokens | $1/M tokens |
| Output price | $5/M tokens | $4.05/M tokens |
| Context window | 200K tokens | 1.0M tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | Yes (1 provider) |
| Released | Oct 2025 | Jul 2026 |
| At 10M a month | $10.00 | $10.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Claude Haiku 4.5 is developed by Anthropic while Inkling is developed by Thinking Machines. Claude Haiku 4.5 has a 200K token context window vs Inkling's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. Claude Haiku 4.5 and Inkling each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.
Claude Haiku 4.5 costs $1/M input tokens and Inkling costs $1/M input tokens. Inkling is $0.00/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 Claude Haiku 4.5 and Inkling 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.