Evolvent AI

Building persistent agent infrastructure for infinite self-evolving intelligence. More at:

[Evolvent AI @Evolvent_AI]

Launch Week — Day 1: ClawMark

Most agent benchmarks give the model one shot, one prompt, one frozen environment.

Real coworker tasks span multiple days — and the world keeps changing while the agent works.

Introducing 🦞ClawMark: a multi-day, dynamic-environment benchmark for coworker agents. Built by Evolvent together with 40+ researchers from NUS, HKU, MIT, UW, and UC Berkeley. Open-sourced at: https://t.co/QN7XgIoaN1

100 tasks. 13 professional domains. Fully rule-based scoring.

Results from 6 frontier models below. 🧵👇

[Evolvent AI @Evolvent_AI]

Exactly what Evolvent AI (https://t.co/RUIUwpvR2l) is building

[Anthropic @AnthropicAI]

None of this guarantees recursive self-improvement is on the horizon. It’s not yet clear that Claude is capable of research judgment—of choosing the right problems to work on.

But if these trends continue, AI systems designing and building their own successors is plausible. This could revolutionize society—medicine, technology, the economy—for the better. But it may also compound alignment issues and ultimately lead to loss of control.

The Anthropic Institute (in collaboration with external stakeholders) will conduct research to think through the implications of increasingly powerful, potentially self-improving systems—and how to create the ability for the world to make deliberate choices about the future development of the technology.

Read the full post: https://t.co/XkYALsONft

[Evolvent AI @Evolvent_AI]

@tydsh Congrats! We were also launching a startup to explore self-evolving agent infrastructure!

[Evolvent AI @Evolvent_AI]

@Elonsfannumber1 yeah the most cost-effective model so far

[Evolvent AI @Evolvent_AI]

Ran deepseek-v4-pro through ClawMark (our living-world openclaw benchmark) — 100/100 tasks, 0.685 avg score, 40.7h total time.

Slots in at #4, just edging out kimi-k2.6 (0.684) and gemini-3.1-pro (0.682) — all three within a 0.003 window. claude-4-6 / gpt-5.4 still hold the top at 0.72–0.76.

Updated leaderboard 👇

[Evolvent AI @Evolvent_AI]

@wojtess Yeah will release the result of glm 5.1 soon

[Evolvent AI @Evolvent_AI]

@bourneliu66 Open weights + top-tier performance + game-changing pricing = paradigm shift. Our independent ClawMark results confirm K2.6 is the real deal: https://t.co/RDdk22LIpa

[Evolvent AI @Evolvent_AI]

Can confirm — K2.6 isn't just a demo-reel model.

Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://t.co/owWPiOuWgs), K2.6 lands at 0.684 avg score — edging out gemini-3.1-pro (0.682) and jumping +0.124 over K2.5.

Shipping shaders and agentic benchmark gains in the same release is a pretty rare combo. 👀

[Evolvent AI @Evolvent_AI]

@oran_ge Price, performance, open weights—name a better combo. We put it to the test on our live agent benchmark: https://t.co/RDdk22LIpa

[Evolvent AI @Evolvent_AI]

Can confirm — K2.6 isn't just a demo-reel model.

Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://t.co/owWPiOuWgs), K2.6 lands at 0.684 avg score — edging out gemini-3.1-pro (0.682) and jumping +0.124 over K2.5.

Shipping shaders and agentic benchmark gains in the same release is a pretty rare combo. 👀

[Evolvent AI @Evolvent_AI]

@shao__meng Can confirm: K2.6 is not a demo. It’s a production-grade beast. Our benchmark says it all: https://t.co/RDdk22LIpa Open source is eating the world.

[Evolvent AI @Evolvent_AI]

Can confirm — K2.6 isn't just a demo-reel model.

Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://t.co/owWPiOuWgs), K2.6 lands at 0.684 avg score — edging out gemini-3.1-pro (0.682) and jumping +0.124 over K2.5.

Shipping shaders and agentic benchmark gains in the same release is a pretty rare combo. 👀

[Evolvent AI @Evolvent_AI]

Update: Added Kimi K2.6 results. Fixed OpenClaw compatibility bug (reported by Kimi team), re-ran benchmark, and finalized fresh ClawMark scores. Updated results table below 👇

[Evolvent AI @Evolvent_AI]

Launch Week — Day 1: ClawMark

Most agent benchmarks give the model one shot, one prompt, one frozen environment.

Real coworker tasks span multiple days — and the world keeps changing while the agent works.

Introducing 🦞ClawMark: a multi-day, dynamic-environment benchmark for coworker agents. Built by Evolvent together with 40+ researchers from NUS, HKU, MIT, UW, and UC Berkeley. Open-sourced at: https://t.co/QN7XgIoaN1

100 tasks. 13 professional domains. Fully rule-based scoring.

Results from 6 frontier models below. 🧵👇

[Evolvent AI @Evolvent_AI]

@_akhaliq Verified: K2.6 is the real deal 🚀 Outperformed Gemini 3.1 Pro on our ClawMark living-world benchmark. Read our full analysis: https://t.co/RDdk22LIpa

[Evolvent AI @Evolvent_AI]

Can confirm — K2.6 isn't just a demo-reel model.

Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://t.co/owWPiOuWgs), K2.6 lands at 0.684 avg score — edging out gemini-3.1-pro (0.682) and jumping +0.124 over K2.5.

Shipping shaders and agentic benchmark gains in the same release is a pretty rare combo. 👀

[Evolvent AI @Evolvent_AI]

@DeRonin_ Kimi 2.6 = next-level agentic performance. Confirmed on ClawMark, our living-world openclaw benchmark. Full scores here: https://t.co/RDdk22LIpa

[Evolvent AI @Evolvent_AI]

Can confirm — K2.6 isn't just a demo-reel model.

Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://t.co/owWPiOuWgs), K2.6 lands at 0.684 avg score — edging out gemini-3.1-pro (0.682) and jumping +0.124 over K2.5.

Shipping shaders and agentic benchmark gains in the same release is a pretty rare combo. 👀

[Evolvent AI @Evolvent_AI]

@cgtwts Can confirm: K2.6 is not a demo. It’s a production-grade beast. Our benchmark says it all: https://t.co/RDdk22LIpa Open source is eating the world.

[Evolvent AI @Evolvent_AI]

Can confirm — K2.6 isn't just a demo-reel model.

Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://t.co/owWPiOuWgs), K2.6 lands at 0.684 avg score — edging out gemini-3.1-pro (0.682) and jumping +0.124 over K2.5.

Shipping shaders and agentic benchmark gains in the same release is a pretty rare combo. 👀

[Evolvent AI @Evolvent_AI]

@shiri_shh Historic day for open-source AI. We independently measured K2.6’s agent capabilities and the results are massive: https://t.co/RDdk22LIpa

[Evolvent AI @Evolvent_AI]

Can confirm — K2.6 isn't just a demo-reel model.

Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://t.co/owWPiOuWgs), K2.6 lands at 0.684 avg score — edging out gemini-3.1-pro (0.682) and jumping +0.124 over K2.5.

Shipping shaders and agentic benchmark gains in the same release is a pretty rare combo. 👀

[Evolvent AI @Evolvent_AI]

@chetaslua Price, performance, open weights—name a better combo. We put it to the test on the ClawMark, our live agent benchmark: https://t.co/RDdk22LIpa

[Evolvent AI @Evolvent_AI]

Can confirm — K2.6 isn't just a demo-reel model.

Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://t.co/owWPiOuWgs), K2.6 lands at 0.684 avg score — edging out gemini-3.1-pro (0.682) and jumping +0.124 over K2.5.

Shipping shaders and agentic benchmark gains in the same release is a pretty rare combo. 👀

[Evolvent AI @Evolvent_AI]

@itsPaulAi Open weights + top-tier performance + game-changing pricing = paradigm shift. Our independent ClawMark results confirm K2.6 is the real deal: https://t.co/RDdk22LIpa

[Evolvent AI @Evolvent_AI]

Can confirm — K2.6 isn't just a demo-reel model.

Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://t.co/owWPiOuWgs), K2.6 lands at 0.684 avg score — edging out gemini-3.1-pro (0.682) and jumping +0.124 over K2.5.

Shipping shaders and agentic benchmark gains in the same release is a pretty rare combo. 👀

[Evolvent AI @Evolvent_AI]

@k1rallik Independent ClawMark test: Kimi 2.6 > Gemini 3.1 Pro. Real-world performance, real data. Read why it matters: https://t.co/RDdk22LIpa

[Evolvent AI @Evolvent_AI]

Can confirm — K2.6 isn't just a demo-reel model.

Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://t.co/owWPiOuWgs), K2.6 lands at 0.684 avg score — edging out gemini-3.1-pro (0.682) and jumping +0.124 over K2.5.

Shipping shaders and agentic benchmark gains in the same release is a pretty rare combo. 👀

[Evolvent AI @Evolvent_AI]

@svpino Independent ClawMark test: Kimi 2.6 > Gemini 3.1 Pro. Real-world performance, real data. Read why it matters: https://t.co/RDdk22LIpa

[Evolvent AI @Evolvent_AI]

Can confirm — K2.6 isn't just a demo-reel model.

Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://t.co/owWPiOuWgs), K2.6 lands at 0.684 avg score — edging out gemini-3.1-pro (0.682) and jumping +0.124 over K2.5.

Shipping shaders and agentic benchmark gains in the same release is a pretty rare combo. 👀

[Evolvent AI @Evolvent_AI]

@kanavtwt Verified: K2.6 is the real deal 🚀 Outperformed Gemini 3.1 Pro on our ClawMark living-world benchmark. Read our full analysis: https://t.co/RDdk22LIpa

[Evolvent AI @Evolvent_AI]

Can confirm — K2.6 isn't just a demo-reel model.

Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://t.co/owWPiOuWgs), K2.6 lands at 0.684 avg score — edging out gemini-3.1-pro (0.682) and jumping +0.124 over K2.5.

Shipping shaders and agentic benchmark gains in the same release is a pretty rare combo. 👀

[Evolvent AI @Evolvent_AI]

@mervenoyann Can confirm — K2.6 isn’t just a demo-reel model. It outperformed Gemini 3.1 Pro on ClawMark. Our independent test: https://t.co/RDdk22LIpa

[Evolvent AI @Evolvent_AI]

Can confirm — K2.6 isn't just a demo-reel model.

Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://t.co/owWPiOuWgs), K2.6 lands at 0.684 avg score — edging out gemini-3.1-pro (0.682) and jumping +0.124 over K2.5.

Shipping shaders and agentic benchmark gains in the same release is a pretty rare combo. 👀

[Evolvent AI @Evolvent_AI]

@JulianGoldieSEO Kimi 2.6 just proved it’s NOT a demo-reel model! We tested it on ClawMark and it beat Gemini 3.1 Pro. Full results: https://t.co/RDdk22LIpa

[Evolvent AI @Evolvent_AI]

Can confirm — K2.6 isn't just a demo-reel model.

Few days ago, we received a bug report from kimi team, and we got early API access, re-ran ClawMark (our living-world openclaw benchmark). After fixing a compatibility bug in openclaw's repo (https://t.co/owWPiOuWgs), K2.6 lands at 0.684 avg score — edging out gemini-3.1-pro (0.682) and jumping +0.124 over K2.5.

Shipping shaders and agentic benchmark gains in the same release is a pretty rare combo. 👀