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Kimi K3.1 Pro vs Claude Opus 5.5: Full Benchmark and Coding Comparison

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Nick Saraev conducts an in-depth comparison between Moonshot AI's newly released Kimi K3.1 Pro and Anthropic's Claude Opus 5.5. Through benchmark analyses and eight real-world coding builds—including 3D configurators, physics simulations, and games—he evaluates execution speed, functional consistency, reasoning efficiency, and cost effectiveness.

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Source: I Tested China's New Model vs Claude Opus 5.5 (Kimi K3.1) · Nick Saraev
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    The explainer

    What the video says, with a link to every moment

    A 2-minute read. Each underlined phrase opens the video at that second.

    The launch of Moonshot AI's Kimi K3.1 Pro represents a significant milestone in frontier AI engineering, positioning open-weight Chinese models directly against leading Western frontier systems. As host Nick Saraev demonstrates, the model advertises a 1-million-token context window alongside top-tier performance on industry-standard coding evaluations. On the Terminal-Bench 4.0 evaluation0:55, Kimi K3.1 Pro achieves 65.7%, substantially outperforming GPT-6 Astra's 58.2% and nearing Claude Opus 5.5. Even more remarkably, Kimi captures first place on the SWE Marathon benchmark1:11 with a score of 51.7% across 20 unassisted multi-hour engineering tasks, while also leading on the Agents' Last Exam benchmark1:50 with 70.0%.

    chart
    Humanity's Last Exam Full w/ toolsKimi K3.1 Pro 70.0Opus 5.5 67.7Fable 5.1 65.6GLM-5.3 62.5DS-V4.1-Flash-1017 58.8GPT-6 Astra 57.2
    ▶ 1:47
    On screen at 1:47

    To test whether these numbers translate to practical capability, Saraev puts both models through an identical eight-project test suite running in their native harnesses at maximum effort. The build time comparison2:40 reveals a massive discrepancy: Kimi K3.1 Pro averaged 29 minutes and 41 seconds using 443K output tokens, whereas Claude Opus 5.5 took 47 minutes and 2 seconds while consuming 1.7 million output tokens. This speed advantage stems from architectural and reasoning token optimizations designed to minimize unnecessary output overhead.

    stat
    Kimi K3.1 Pro Kimi Code, max effort8/8 builds working29:41 average build time443K output tokens, total- head-to-heads won
    ▶ 2:37
    On screen at 2:37

    Evaluating the resulting applications reveals a trade-off between functional reliability and aesthetic polish. In the Loom 75 keyboard configurator2:55, Kimi successfully renders an interactive, explodable 3D keyboard that allows live typing, whereas Opus initially struggled to load before revealing slightly superior material geometry. In the galaxy collision demo4:56, Kimi simulated 200,000 interacting stars with high fidelity, though Opus produced a more atmospheric visual aesthetic. Conversely, in the Minecraft voxel simulation8:10, Kimi produced a fully playable environment with dynamic lighting and underwater blur, whereas Opus 5.5 generated broken player movement controls.

    Examining the Kimi coding interface10:10 highlights unique design features, such as an expressive companion mascot and transparent thinking traces. Analyzing the reasoning trace linguistics11:00 reveals that Kimi's chain-of-thought drops grammatical subjects and conversational filler to maximize token compression. Furthermore, the built-in Swarm multi-agent feature11:50 enables native delegation across hundreds of parallel workers, allowing users to orchestrate complex operations like generating diverse commercial landing pages while clarifying requirements through automated UX forms.

    quote
    Thinking completeI'll respond to Hello! straightforward. Should consider no need tools. User language English, respond warm concise. Perhaps "Hello! How can I help you today?" Identity not needed. Must not overdo. I have huge instructions but simple. I'll respond only.
    ▶ 10:54
    On screen at 10:54

    At two dollars per million input tokens12:50 and ten dollars per million output tokens, Kimi K3.1 Pro is roughly half the cost of Claude Opus 5.5. While Opus occasionally offers greater visual sophistication in game physics and shaders, Kimi delivers superior baseline reliability, faster development iterations, and exceptional cost efficiency for real-world software and knowledge tasks.

    stat
    Google: opus 5.5 costClaude Opus 5.5 costs $4.00 per million input tokens and $20.00 per million output tokens
    ▶ 12:57
    On screen at 12:57
    Highlights
    1. 0:48Frontier benchmark results overview
    2. 2:38Side-by-side coding harness setup
    3. 2:54Build time and token usage divergence
    4. 4:56Galaxy collision physics simulation
    5. 10:10Kimi.ai interface and reasoning trace
    6. 12:45Pricing and final verdict
    Chapters across the 13:30 runtime
    How it's told

    A benchmark analysis leading to practical tests

    Format: Review. The creator reviews official benchmarks for Moonshot AI's new Kimi K3.1 Pro before running eight head-to-head coding and simulation builds against Claude Opus 5.5. He then explores Kimi.ai's interface, reasoning traces, and swarm features to evaluate overall value and efficiency.

    Story arc

    1. 0:00IntroductionAnnouncement of Kimi K3.1 Pro release and overview of video goals.
    2. 0:44Benchmark AnalysisDetailed review of official programming and agentic benchmarks.
    3. 2:00Head-to-Head Tests SetupExplaining the testing parameters across 8 identical coding tasks.
    4. 2:54Practical DemosSide-by-side evaluation of 3D web apps, simulations, and interactive games.
    5. 10:06Kimi Agent InterfaceHands-on walkthrough of Kimi.ai's UI, thinking trace, and swarm system.
    6. 12:40Pricing & ConclusionCost comparison against Claude Opus 5.5 and final evaluation.

    Setups and payoffs

    1. 0:32Setup Host promises to move beyond raw numbers to real functional tests
      ↳
      2:54Payoff First practical hands-on application test begins.
    2. 2:14Setup Host outlines side-by-side testing rules and build execution
      ↳
      2:37Payoff Test run results and build times are evaluated.
    3. 10:06Setup Host introduces Kimi's agent coding harness
      ↳
      11:57Payoff Host activates agent swarm mode with a multi-page design prompt.

    Devices

    • Side-by-side comparisonSimultaneous display and direct feature comparison between Kimi and Claude Opus 5.5 outputs4:326:09
    • Screen recording with picture-in-pictureDemonstrating software execution while maintaining direct audience engagement0:0210:07

    From the video's own structure, matched to the transcript and on-screen text.

    Teardown

    A head-to-head shootout between an emerging Chinese AI model and the leading Western flagship delivers tangible proof via working 3D apps and games rather than abstract benchmarks.

    Below the channel's typical: 0.2× its typical views (19,909 vs a median of 125,303 across the channel's last 15 long-form uploads, as of Oct 28) · Long-form review · 0 days old, early

    The promise

    A head-to-head test showing whether China's new Kimi K3.1 model can compete with or outperform Claude Opus.

    Packaging

    How it looks in the feed

    Show the feed as
    13:30

    I Tested China's New Model vs Claude Opus 5.5 (Kimi K3.1)

    Nick Saraev19K views · 7h ago🔥 Kimi K3.1 Pro here + benchmarks: https://www.kimi.ai/code?utm_campaign=TR_idCFfXg7&utm_content=&utm_medium=Youtube&utm_source=CH_kEMBez3l&utm_term= 💎 Get…

    Views and age as of the teardown, Oct 28, 2026. Other videos are blanked out.

    • 3/5Thumbnail imageThe layout is clean and high-contrast against the white grid, making it readable at small sizes. However, the creator's neutral expression creates no narrative tension or emotional pull.Creator's bust on the left looking forward with a flat expression beside a large blue 3D graphic on a white graph-paper background.
    • 2/5Thumbnail text“K3.1”It only displays a product version number. Without already knowing what K3.1 is, the text generates minimal intrigue on its own.Stylized 3D text reading 'K3.1'.
    • 4/5TitleThe title clearly defines the stakes and the matchup. Pitting 'China's New Model' against the leading Western benchmark creates immediate interest for tech viewers.'I Tested China's New Model vs Claude Opus 5.5 (Kimi K3.1)'.
    • 3/5Title + thumbnailThe title carries almost the entire packaging burden. The thumbnail acts merely as a clean brand asset rather than amplifying the drama of the comparison.The title sets up the competitive test, while the thumbnail only presents the subject's face and the model label.

    Curiosity gap: Can China's new AI model actually outperform Claude Opus in real-world testing?

    The three hooks

    The title, the thumbnail text and the first words spoken each make a promise, and each does a different job.

    • Title“I Tested China's New Model vs Claude Opus 5.5 (Kimi K3.1)”Curiosity gapCuriosityProofNoveltyIt makes the viewer want to find out which frontier AI won the benchmark test.
    • Thumbnail text“K3.1”OtherNoveltyCuriosityIt makes tech enthusiasts wonder what this unfamiliar model release represents.
    • First words spoken“So Kimi K3.1 Pro just dropped.”FOMONoveltyCuriosityDeclaring that a major new AI release just launched immediately creates fear of missing out and curiosity about whether existing tools are now obsolete.
    • PairingDifferent jobsThe thumbnail functions as a bold visual badge for the model name, while the title sets up the competitive benchmark test.
    • StakesFitsDevelopers and AI users genuinely care about halving compute costs without losing coding reliability, which the hands-on demos directly address.
    • UrgencyRealAI foundation models iterate on weekly release cycles, making head-to-head data on newly released model weights time-sensitive for developers choosing an API.

    The first 20 seconds

    TimeWhat you seeWhat you hearWhat it does
    0:00Host talking directly to camera against a plain backdrop."So Kimi K3.1..."Starts instantly with no intro animation or greeting.
    0:01Host continues speaking to camera."...Pro just dropped."Delivers the breaking news hook immediately.
    0:02Cuts to full desktop screen showing Kimi K3.1 Pro website, host in bottom right corner."They have a beautiful landing page here..."Provides instant visual proof of the model release.
    0:03Landing page hero section visible on screen."...and pricing..."Signals practical product evaluation.
    0:04Screen scrolls down to 'Introducing Kimi K3.1 Pro' text."...that is very competitive..."Introduces the competitive angle.
    0:05Screen shows model specs and context window details."...with a lot of frontier Western models."Establishes the high stakes matchup against top Western AI models.
    0:06Screen scrolls down to benchmark bar charts comparing multiple frontier models."In this video I wanted to go through Kimi..."Transitions into the agenda of the video.
    0:07Benchmark charts displayed clearly on screen."...K3.1 Pro..."Keeps visual focus on technical data.
    0:08Benchmark charts highlighting performance numbers."...actually test it end to end..."Promises hands-on proof rather than theoretical discussion.
    0:09Charts comparing Kimi against top rivals."...alongside a frontier model, Opus 5.5..."Directly confirms the head-to-head title promise.
    0:10Screen remains on benchmark comparisons."...and then walk through..."Expands value proposition to practical implementation.
    0:11Host visible in corner overlay talking over charts."...how you guys can use a model..."Promises viewer utility and actionable takeaway.
    0:12Benchmark charts remain on screen."...like this."Completes video premise and roadmap.
    0:13Screen shows benchmark table on website.[silence / breath]Gives viewer time to absorb benchmark results.
    0:14Screen shows benchmark table.[silence]Maintains focus on visual evidence.
    0:15Host speaks in corner over benchmark screen.Host continues narration.Transitions to detailed technical breakdown.
    0:16Screen displays benchmark comparisons.Host discusses model context.Deepens technical credibility.
    0:17Benchmark data displayed on screen.Host explains benchmark categories.Walks viewer through benchmark evidence.
    0:18Benchmark charts remain visible.Host details testing methodology.Reinforces objectivity of the testing.
    0:19Screen displays comparative metrics.Host concludes benchmark context.Sets up live demonstration segment.
    0:20Screen remains on Kimi benchmark site.Host transitions to next point.Prepares viewer for hands-on comparison.
    Click confirmation
    Delivered within 00:01 by naming Kimi K3.1 Pro out loud and immediately displaying the website and Opus benchmark charts on screen by 00:06.
    Time to the point
    0:09
    Hook
    payoff preview, stakes
    Reason to stay
    To see real, end-to-end testing between China's Kimi K3.1 Pro and Claude Opus 5.5, followed by instructions on how to use it.
    Missing on purpose
    No channel intro, no animated logo bumper, no personal greeting, and no early request to like or subscribe.
    Pace and texture
    Fast jump cut from talking head to screen recording at 00:02, quick scroll down to benchmark data, steady and punchy vocal delivery.

    Story map

    Versus/comparison. The host sets up identical coding prompts across eight complex web apps to find out whether China's cheaper Kimi K3.1 can realistically replace Claude Opus 5.5 in production.

    TimeSectionNew tensionStakesTurnLoops
    0:00 –2:00News Hook & Official BenchmarksCan Moonshot AI's new model genuinely compete with frontier Western models on paper?RiseBenchmarks show Kimi beating or matching Opus on long-horizon coding, but official scores can be cherry-picked.Opens: Will real-world performance reflect the chart-topping benchmark numbers?Closes: None
    2:00 –2:54Rules & Build MetricsHow fairly are the models matched and how fast can each build full applications?RiseKimi builds in 29 minutes compared to Opus's 47 minutes, but speed means nothing if the code fails to run.Opens: Did Kimi sacrifice functional quality to finish nearly 18 minutes faster?Closes: Which model builds faster under max effort.
    2:54 –4:55Demo 1: Loom Keyboard ConfiguratorWhich model produces a working 3D product customizer with audio and animation?HoldOpus 5.5 fails to load entirely on first run, but once patched reveals slightly superior 3D keycap geometry.Opens: Will Opus continue to break on interactive elements?Closes: Whether Kimi can build functional 3D web configurators.
    4:56 –7:18Demos 2 & 3: Galaxy Collision & Deep-Sea SVGCan Kimi match Claude's aesthetic judgment on particle physics and strict SVG web design?HoldClaude delivers noticeably better visual taste and 3D depth, but runs significantly slower than Kimi's lighter builds.Opens: Can Kimi beat Opus on complex physics or gameplay instead of just raw speed?Closes: Which model exhibits better visual styling.
    7:19 –10:09Demos 4, 5 & 6: Demolition, Minecraft & TitanCraftWhich model writes reliable logic for interactive physics engines and first-person game controls?RiseOpus produces better demolition audio and an aerial combat game, but fails completely on Minecraft player movement controls where Kimi succeeds.Opens: How does using Kimi natively compare to Claude Code in a real workflow?Closes: Final app shootout score: Kimi wins on basic reliability, Opus on peak polish.
    10:10 –12:40Kimi Agent Platform & Multi-Agent SwarmWhat is Kimi's web interface actually like and how does its reasoning trace differ?FallChinese frontier models save tokens by dropping grammatical filler in reasoning, enabling multi-agent swarm task delegation out of the box.Opens: Is Kimi cheap enough to justify the occasional drop in visual polish?Closes: How viewers can access and prompt the model directly.
    12:41 –13:30Pricing & Final VerdictIs Opus worth 2x the token cost for marginal visual improvements?FallOpus remains king of aesthetic nuance, but at half the cost and higher build speed, Kimi is a viable production alternative.Opens: NoneCloses: Will China's new model replace Opus 5.5 for real tasks?

    Payoff: delivered fully at 2:54. The video moves past theoretical benchmark slides into six back-to-back interactive software demos comparing build times, visual fidelity, and functional bugs side by side. Ending: A concise pricing breakdown contrasting token costs ($2/$10 vs $4/$20) leads into a final trade-off summary (consistency vs peak polish) and a fast outro with no fluff.

    Leaks

    Where a viewer might leave. Guesses from watching, not retention data.

    • 1:10 Listing four dense benchmark charts in a row without visual demos tempts viewers to scrub forward to the practical testing.
    • 6:01 The host acknowledges watching galaxies collide is aimless ('Why'd you click on this YouTube video if not to watch...'), creating dead air during a passive animation.
    • 11:20 Linguistic analysis of token compression and syntax in reasoning traces slows down the hands-on momentum.

    Steal this

    1. Side-by-side interactive split testing Putting both outputs on screen and actively clicking, spinning, and testing controls proves results live instead of showing pre-rendered B-roll. 4:32
    2. Quantitative prep before qualitative demos Revealing overall build times and failure rates immediately frames the subsequent demos so every test contributes to an overarching score. 2:36
    3. Live stress test failure reveal Showing an expensive flagship model failing to load or lock up on basic player controls creates organic drama and dismantles assumptions. 3:49

    Skip this

    • Self-referencing personal past projects without onboarding ('no Nick Saraev video would be complete without some Titan killing'). This alienates new viewers who lack context on the host's previous viral videos or background.
    • Testing with full custom harnesses built on max reasoning modes. High-compute testing setups and proprietary harness integrations require specific developer expertise and budgets that general viewers cannot replicate.

    Open questions

    • What specific system prompt instructions were given to both models across the eight builds?
    • Were the failed Opus builds re-tested under standard temperature settings or multiple runs?

    Teardown by Avail.video from the thumbnail, the title, the first 20 seconds and the report's notes on the whole video.

    On screen

    Everything the video showed you

    Slides, frameworks, quotes and formulas, captured verbatim with the moment they appeared. Tap any card to jump there.

    Reference shelf

    People, ideas and things mentioned

    Said means mentioned aloud; Shown means it appeared on screen.

    People1

    • Nick SaraevVideo host, AI agency founder, and tech content creator.0:00Said + shown9:16Said + shown12:40Said + shown13:20Said + shown

    Ideas & frameworks1

    • SWE MarathonA long-horizon benchmark evaluating coding models on 20 multi-hour engineering tasks in isolation.0:05Shown1:11Said + shown1:29Shown

    Organizations1

    • Moonshot AIAI research company developing the Kimi family of large language models.0:02Shown1:29Shown

    Things on screen8

    • Kimi K3.1 ProMoonshot AI's flagship open-weight 3T-class reasoning and coding model with a 1M-token context window.0:01Shown0:02Said + shown0:55Said + shown1:59Shown2:37Shown12:45Said
    • Claude Opus 5.5Anthropic's premier frontier reasoning and coding model used as the benchmark standard.0:12Said0:16Shown1:59Shown2:02Said + shown2:37Shown12:55Said12:57Shown
    • GPT-6 AstraFrontier AI model benchmarked in comparative evaluations.0:05Shown0:58Said + shown1:29Shown
    • Kimi CodeMoonshot AI's dedicated coding agent and execution harness for Kimi models.0:05Shown1:59Shown2:22Said + shown2:37Shown
    • Claude CodeAnthropic's agent harness for executing coding workflows with Claude models.1:59Shown2:24Said + shown2:37Shown
    • Kimi.aiWeb-based application interface providing chat, coding harness, and agent swarm capabilities.0:05Shown10:07Shown10:10Said + shown
    • Loom 75Simulated mechanical keyboard product used in a 3D configurator benchmark build.2:54Shown2:55Said + shown4:02Shown4:32Shown
    • TitanCraftVoxel-based action game built as a model harness test case.9:14Said + shown9:40Shown
    Video description

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    By the numbers

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    The video

    Views
    19.9K
    Likes
    286
    Comments
    34
    Published
    Oct 28, 2026
    Length
    13:30
    Category
    Science & Technology
    YouTube's topics
    —
    Captions
    No
    HD
    Yes
    Language
    English
    Paid promotion
    None declared
    Made for kids
    No
    License
    Standard YouTube

    Creator's tags

    • automation
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    The channel

    Nick Saraev@nicksaraev
    Subscribers
    573K
    Videos
    353
    Total views
    26.4M
    Channel age
    6 years (since Mar 2020)
    Country
    Canada
    Uploads
    about every day
    Across the last 15 long-form uploads
    Before this video
    4 days after the previous long-form upload

    Calculated by Avail.video from YouTube's public numbers

    Outlier score
    0.2× · Too early to tell
    Views against the median of the channel's last 15 long-form uploads
    Views per subscriber
    0.03
    Likes vs the channel's usual
    0.8× the channel's usual
    1.4% of views vs a usual 1.7%
    Comments vs the channel's usual
    1.5× the channel's usual
    0.17% of views vs a usual 0.12%
    Rank among recent uploads
    #16 of 16
    By views: this video and the channel's last 15 long-form uploads
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    Watched by Avail.video · 2026-10-28