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Kimi K3.1 Pro launches as revised Artificial Analysis index places it ninth

9 reports 6 reporting sources 2 days agoNew

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AI overview

Moonshot AI released Kimi K3.1 Pro through its apps and API, but its weights remain unreleased, and Artificial Analysis’s revised Intelligence Index now places it ninth, behind eight closed models. The Decoder reported that version 5 assigns 60% of the index to private test sets to counter training on known questions. K3.1 Pro scored 46, trailing the leader by 12 points; under version 4.3, it ranked fourth with 55, three points behind Claude Opus 5.5. Ethan Mollick urged caution in interpreting the revised findings. Simon Willison reported Moonshot’s promise to release the weights by November 4, 2026. On Artificial Analysis’s separate Cyber Index, K3.1 Pro scored 64%, leading openly available models for agentic cyber defense while trailing trusted-access GPT-6 Sol (Daybreak Blue, max) at 69%. Artificial Analysis said K3.1 Pro encountered no safety refusals across the index’s three benchmarks. Its cost per task was $2.81, 15% higher than Kimi K3 despite 33% lower per-token prices. Willison reported standard API prices of $2 per million input tokens and $10 per million output tokens. Moonshot says the Highspeed variant runs two to three times faster; Willison reported that it costs twice as much, except for input token cache hits, which retain the standard price.

Generated by AI from reports · Updated 2 days ago

Read next

Related eventsKimi Launches K3.1 Pro and Highspeed Variant, Promises Open Weights by November 4

Models in this story

  • Kimi K3.1 Pro#2 overall$2 input / $10 output per million tokens
  • Claude Opus 5.5#1 overall$4 input / $20 output per million tokens
  • GPT-6 Sol#14 overall$2 input / $10 output per million tokens
  • Kimi K3#23 overall$0.19 input / $15 output per million tokens

Developments

5 developments

  1. 10/28 23:04 (UTC+8) · 1 reports
    Artificial Analysis Overhauls Its Intelligence Index
    The Decoder:New Artificial Analysis index widens the gap between open and closed models
  2. 10/28 10:59 (UTC+8) · 1 reports
    Ethan Mollick Comments on Artificial Analysis’s Closed Benchmark Results
    Ethan Mollick · X:Artificial Analysis reports a wider open weights model gap on closed benchmarks
  3. 10/24 06:51 (UTC+8) · 1 reports
    Artificial Analysis ranks Kimi K3.1 Pro second overall on its Cyber Index
    Artificial Analysis · X:Kimi K3.1 Pro leads openly available models on Artificial Analysis Cyber Index
  4. 10/24 03:40 (UTC+8) · 1 reports
    Moonshot Launches Kimi K3.1 Pro on Its API
    Simon Willison:Introducing Kimi K3.1 Pro
  5. 10/24 01:44 (UTC+8) · 3 reports
    Artificial Analysis ranks Kimi K3.1 Pro fourth on its Intelligence Index
    The Decoder:Kimi K3.1 Pro ranks fourth on Artificial Analysis, approaching Claude Opus 5.5

Report timeline

Follow the reports to explore different sides of the event.

10/29
  1. Gemini 4 Carbon tops leaderboards, launches for cyber defenders

    Google DeepMind announced Gemini 4 Carbon, initially available to trusted cyber defenders through the Fairwind Program, with wider developer access promised as soon as possible. Latent Space reports that Carbon leads Artificial Analysis Intelligence Index v5 with a score of 59 and ranks #1 in Text Arena, while trailing some rivals on coding benchmarks. The model supports a 1M-token context window, accepts text, image, video and speech inputs, and produces text output.

10/28
  1. New Artificial Analysis index widens the gap between open and closed models

    Artificial Analysis revised its Intelligence Index, widening the gap between open models and the leaderboard’s top from 3 to 12 points. In version 5, Kimi K3.1 Pro falls from fourth to ninth behind eight closed models, while Grok 4.7 loses 12 points. Private test sets now account for 60 percent of the index to counter training on known questions, though researcher Nathan Lambert also points to differences in reinforcement learning infrastructure.

  2. Artificial Analysis reports a wider open weights model gap on closed benchmarks

    Ethan Mollick says Artificial Analysis’s move to closed benchmarks reveals a wider open weights model gap, while urging caution about the findings. Artificial Analysis reports that Kimi K3.1 Pro, whose weights are not yet released, scores 46 in v5, 12 points behind the leader versus a 3-point gap in v4.3. Among models with released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3 (max) lead at 32, below Claude Haiku 5.5 (max). https://twitter.com/ArtificialAnlys/status/2115265171233120627

10/24
  1. Moonshot launches Kimi K3.1 Pro with weights promised November 4 and faster Highspeed API

    Moonshot launched Kimi K3.1 Pro, a multimodal MoE model with 2.8 trillion total parameters, 104 billion active parameters, and a 1-million-token context window. Artificial Analysis ranked it fourth with a score of 55, while weights remained unpublished and were promised for November 4, 2026. Standard and Highspeed access launched across Kimi products and API, with Moonshot claiming 2–3× faster output at twice the standard price for Highspeed.

  2. Kimi K3.1 Pro leads openly available models on Artificial Analysis Cyber Index

    Artificial Analysis reports that Kimi K3.1 Pro scores 64% on its Cyber Index, leading openly available models and trailing trusted-access GPT-6 Sol (Daybreak Blue, max, 69%). The index measures agentic cyber defense across three benchmarks, primarily through public APIs, where safety refusals can reduce scores. K3.1 Pro encounters no safety refusals, but its $2.81 Cost per Task is 15% higher than Kimi K3 despite 33% lower per-token prices.

  3. Introducing Kimi K3.1 Pro

    Kimi K3.1 Pro launched on the Kimi API today, with Moonshot promising full model weights by Nov 4, 2026. Pricing is USD $2.00/million input tokens and $10/million output tokens; a Highspeed version offers 2-3x faster performance at twice the price, except for input token cache hits. Artificial Analysis scored it at 55, behind Claude Opus 5.5 at 58 and ahead of three models at 53; Simon Willison also tested SVG pelican generation at its low, medium, and max reasoning levels.

  4. Kimi K3.1 Pro ranks fourth on Artificial Analysis, approaching Claude Opus 5.5

    Moonshot AI released Kimi K3.1 Pro, which scores 55 on the Artificial Analysis Intelligence Index, up 11 points from K3 and 3 points behind Claude Opus 5.5. It is available through Kimi.ai, Kimi Work, Kimi Code, and the Kimi API, alongside a Highspeed variant that Moonshot says runs two to three times faster. Token prices fall 33 percent; if weights are released as planned by November 4, 2026, it could become the highest-scoring open-weights model, assuming rankings remain unchanged.

  5. Kimi K3.1 Pro launches at fourth on Artificial Analysis Intelligence Index

    Nathan Lambert notes that Kimi K3.1 Pro scores higher than Fable 5.1 and Astra 6. Quoting Artificial Analysis, the model ranks fourth on its Intelligence Index with a score of 55, gaining 11 points over Kimi K3 and making large gains in agentic performance. Artificial Analysis says it will lead open-weights models once its weights are published. https://t.co/ac2dn5IEz7

  6. Kimi K3.1 Pro launches at fourth on the Artificial Analysis Intelligence Index

    Artificial Analysis reports that Kimi K3.1 Pro launches at fourth on its Intelligence Index with a score of 55, gaining 11 points over Kimi K3 and making large gains in agentic performance. It says the new reasoning model will lead open-weights models once its weights are published. https://t.co/BphLwAbST0

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