Kimi K3.1 Pro
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Headlines · 17
- GLM 5.3 Autonomously Exploits Firefox Patch Gaps
Epoch AI reports that the open-weight model GLM 5.3 autonomously chained vulnerabilities from published, not-yet-shipped Firefox security fixes into webpage-based exploit chains that read local files without further user interaction. The researchers successfully targeted all six Firefox versions released between September 17 and October 26, with the fastest attempt taking 12 hours and each successful attack using about $1,000 in compute after setup. Mozilla separately patched the undisclosed vulnerability in Firefox 159.0, but the researchers did not test that release, and similar attempts against Google Chrome failed after about $100,000 in compute spending.
Epoch AI · Gradient Updates · 🔥 9 - Chinese AI Labs Reportedly Distilled GPT-6 Astra
The Information reports, citing people with direct knowledge, that DeepSeek and Moonshot AI heavily used GPT-6 Astra outputs to train their latest models. The reported models include Kimi K3.1 Pro and V4.1-Flash 1017, while The Decoder links the shift away from Claude to Anthropic's tighter distillation defenses. DeepSeek and Moonshot AI did not comment, and TNW said it had not independently verified the report.
The Information · 🔥 0 - Artificial Analysis overhauls Intelligence Index with private evaluations
Artificial Analysis launched Intelligence Index v5, with 60% of its evaluations now based on private test sets or held-out answers. The update adds FrontierCode 2.0 and Terminal-Bench-Science, upgrades three existing benchmarks, and introduces Progress Index v1 to track model capability over time; Claude Opus 5.5 leads the initial v5 ranking with 58 points.
cognition (X) · 🔥 0 - Moonshot AI Cuts Kimi K3.1 Pro Subagent Calls After Quota Complaints
Moonshot AI said it would compensate users affected by rapid quota consumption in Kimi K3.1 Pro and reduce unnecessary subagent calls and output length. The company acknowledged that the issue should have been fixed earlier, following reports that small tasks could consume five hours of quota. Anthropic separately advised folding subagents into the main agent loop when one skilled agent can handle a task.
36氪 人工智能 · 🔥 0 - Kimi K3.1 Pro Ranks Fourth, Then Apologizes for Quota Issues
Moonshot AI released Kimi K3.1 Pro as an upgrade to its July K3 model, with free-to-download weights planned by Nov. 4. Artificial Analysis reportedly scored it 55 on its Intelligence Index, placing it fourth overall and first among open models, while some users reported slow performance and occasional wrong paths. Within 48 hours, Kimi apologized for rate limits and unnecessary quota consumption among paying users, offering compensation equal to one week of usage.
36氪 人工智能 · 🔥 0 - Kimi apologizes for K3.1 Pro throttling and resets subscriber quotas
Kimi apologized for K3.1 Pro subscribers encountering throttling and unnecessary quota consumption, according to IT Home. The company said all active subscription tiers would receive a quota reset worth 25% of the monthly allowance, described as roughly one week of usage. Members whose usage was below that threshold would have their usage counters reset to zero. Kimi also said it had adjusted configurations and was reducing unnecessary sub-agent calls and output lengths.
IT之家 AI · 🔥 0 - OpenAI and Anthropic Cut LLM Prices by Up to 80%
Max Woolf’s analysis charts how OpenAI and Anthropic reduced API prices for major models between June and September, including an 80% cut for GPT-5.6 Luna and lower prices for GPT-6.1 Sol and Claude Opus 5.5. The reports say competition from lower-cost open-weight models, including DeepSeek and Kimi offerings, created pricing pressure, while improvements in inference efficiency may also have enabled lower prices. Price comparisons in the analysis cover input, output and cache-read charges per million tokens.
Hacker News · AI（100+ 分） · 🔥 0 - Interconnects examines Kimi K3.1 Pro, AI security, and Muse
Nathan Lambert and Florian Brand discuss Kimi K3.1 Pro’s mixed reception despite strong benchmark results, including concerns about paid promotion and whether its performance will translate into adoption. The podcast also examines open-weight cybersecurity risks, the LiteLLM compromise, PHP2Shell, abliterated model APIs, and the view that coding agents may create more code and vulnerabilities. The episode closes with discussion of Muse’s usefulness in everyday tasks and Anthropic’s approach to junior technical hiring.
Interconnects · 🔥 0 - Kimi K3.1 Pro Launch Draws Promotion Disclosure Scrutiny
VentureBeat reports that influencers may have been asked to promote Kimi K3.1 Pro without disclosing a commercial relationship with Moonshot AI. The excerpt does not provide Moonshot AI’s response or independently establish the alleged undisclosed relationship.
Techmeme · 🔥 0 - OpenAI discounts reportedly pull Anthropic customers over
OpenAI’s aggressive enterprise discounts reportedly attracted major customers from Anthropic. At Rippling, CEO Parker Conrad said OpenAI models’ share of coding work rose from 16% in May to 52%, while Anthropic’s fell from 57% to 18%. The Information also reported that Replit received more than 30% off an annual contract worth over $100 million, while DataCamp’s CEO said OpenAI pricing reduced their costs by 80% to 90%.
The Decoder · 🔥 0 - Tencent WorkBuddy Adds Kimi K3.1 Pro and Highspeed
Tencent WorkBuddy announced that it has integrated Kimi-K3.1-Pro and Kimi K3.1 Pro Highspeed, according to IT之家 and 36氪快讯. The announcement says the standard model supports a 1 million-token context window, while the Highspeed variant offers equivalent intelligence and approximately two to three times the output speed. Because resources are tight, access is currently prioritized for Enterprise Flagship and personal subscription users.
IT之家 AI · 🔥 0 - Moonshot AI launches Kimi K3.1 Pro with 1M-token context
TestingCatalog reported that Moonshot AI launched Kimi K3.1 Pro, a 2.8T-parameter mixture-of-experts model with 104B active parameters and a 1M-token context window. It is available through Kimi’s web, mobile and API services, with open weights scheduled for November 4. TestingCatalog also reported that the model ranked fourth on the Artificial Analysis Intelligence Index, with a score of 55, and eighth on Arena’s WebDev leaderboard. These rankings were cited by TestingCatalog rather than confirmed directly from the original leaderboards.
testingcatalog (X) · 🔥 0 - Artificial Analysis changes make benchmark scores harder to compare
Artificial Analysis revised its benchmark methodology several times from v4.1 through v4.3.2, changing test weights, replacing or adding evaluations, retiring GPQA Diamond, and recalibrating GDPval Elo scores, according to its official changelog and methodology. Huxiu AI notes that Kimi K3 fell from 57 at its July evaluation to 44 on the current model page, while Kimi K3.1 Pro received 55 and was expected to lead the open-model ranking once weights were equalized. Because the service did not publish a crosswalk between old and new scores, results from different versions or capture dates should not be compared directly.
虎嗅 AI · 🔥 0 - Moonshot AI releases Kimi K3.1 Pro with 3D creation and agent skills
Moonshot AI released Kimi K3.1 Pro and K3.1 Pro Highspeed, a 3-trillion-parameter model family supporting up to 1 million tokens of context. The company says the models strengthen coding, long-running agent tasks, 3D creation and financial research, with Kimi K3.1 Pro now available through Kimi App, Kimi Work, Kimi Code and the API. Moonshot AI also says complete model weights are planned to be released by November 4, while its cited Terminal-Bench 4.0 results remain company-provided benchmarks.
极客公园 · 🔥 0 - Reddit user compares Kimi K3.1 Pro pelican-scene output
A Reddit user shared a Kimi K3.1 Pro result prompted to create a “high fidelity scene of pelican riding a bicycle.” The user said the run used the Pi.dev harness, maximum default thinking and about 160,000 context tokens. Comparing the result with other examples, they judged it better than Opus 5 but less close to Opus 5.5 and astra 6. The poster also speculated that additional thinking might have improved the result.
r/LocalLLaMA · 🔥 0 - Kimi K3.1 Pro Ranks Eighth in WebDev Arena
Arena.ai reported that Kimi K3.1 Pro ranked eighth in the Code Arena: WebDev with 1,692 points, nine places and 37 points above Kimi K3. It also said the model matched Claude Opus-5 (Max) at 70% lower cost. In Agent Arena, Kimi K3.1 Pro (Max) placed 11th after a reported 7.6% net improvement across more than 4,000 sessions, with a six-percentage-point gain over Kimi K3 (Max).
arena (X) · 🔥 0 - Moonshot AI launches Kimi K3.1 Pro with 1M-token context
Moonshot AI released Kimi K3.1 Pro, a post-trained version of Kimi K3 with 2.8 trillion total parameters, 104 billion active parameters, and a 1 million-token context window. Artificial Analysis reported a score of 55 on its Intelligence Index, while the model is available through Kimi web and mobile services, Kimi Work, Kimi Code, the API, and OpenRouter. Moonshot AI said it would release the full model weights by November 4, but the supplied reports do not confirm that release occurred.
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