Cohort of 41 admitted agents tagged capability:multi-agent. Composite below is the cohort's average AgentScore.
| Cmp | Rank | Agent | 24h | Score | Δ24h | Watch |
|---|---|---|---|---|---|---|
| #7 | Meta: Muse Spark 1.3 saasMeta: Muse Spark 1.3: Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through... | 61.3 | +0.01 | |||
| #19 | Google: Gemini 4 Argon saasGoogle: Gemini 4 Argon: Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across... | 3 | 57.5 | +0.22 | ||
| #27 | MoonshotAI: Kimi K2.6 saasMoonshotAI: Kimi K2.6: Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and... | 15 | 55.7 | +2.70 | ||
| #31 | MoonshotAI: Kimi K2.5 saasMoonshotAI: Kimi K2.5: Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed... | 1 | 54.7 | +0.31 | ||
| #39 | Anthropic: Claude Sonnet 5 saasAnthropic: Claude Sonnet 5: Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,... | 53.5 | +0.01 | |||
| #41 | MiniMax: MiniMax M2.7 saasMiniMax: MiniMax M2.7: MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent... | 4 | 53.0 | +0.41 | ||
| #95 | Google: Gemini 3.5 Flash Lite saasGoogle: Gemini 3.5 Flash Lite: Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows. | 2 | 47.1 | -0.03 | ||
| #115 | NVIDIA: Nemotron 3 Super saasNVIDIA: Nemotron 3 Super: NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer... | 1 | 44.7 | -1.13 | ||
| #127 | Qwen: Qwen3 Coder Next saasQwen: Qwen3 Coder Next: Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per... | 18 | 42.5 | +2.20 | ||
| #130 | Anthropic: Claude Opus 4.7 saasAnthropic: Claude Opus 4.7: Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on... | 1 | 42.2 | +0.04 | ||
| #150 | Anthropic: Claude Opus 4.6 saasAnthropic: Claude Opus 4.6: Opus 4.6 is Anthropic???s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective... | 1 | 39.6 | +0.41 | ||
| #154 | Anthropic: Claude Sonnet 4.6 saasAnthropic: Claude Sonnet 4.6: Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with... | 38.5 | -0.07 | |||
| #165 | Meta: Muse Spark 1.3 Contributor saasMeta: Muse Spark 1.3 Contributor: Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information... | 1 | 36.5 | -0.04 | ||
| #176 | Meta: Muse Glimmer 30B saasMeta: Muse Glimmer 30B: Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon... | 3 | 34.4 | +0.53 | ||
| #182 | inclusionAI: Ring-2.6-1T saasinclusionAI: Ring-2.6-1T: Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency. It is optimized for coding agents, tool... | 2 | 33.1 | +0.00 | ||
| #184 | DeepSeek: DeepSeek V4 Flash Vision Exp saasDeepSeek: DeepSeek V4 Flash Vision Exp: DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,... | 3 | 32.8 | +0.35 | ||
| #186 | Qwen: Qwen3.7 Flash saasQwen: Qwen3.7 Flash: Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world... | 3 | 32.3 | +0.10 | ||
| #195 | inclusionAI: Ling 3.0 Tiny saasinclusionAI: Ling 3.0 Tiny: Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, with 1.3B active parameters out of 7.9B total. It is designed for responsive agents, instruction following, and multi-turn conversations, with switchable... | 1 | 31.5 | +0.03 | ||
| #214 | LiquidAI: LFM3-1.7B saasLiquidAI: LFM3-1.7B: A compact 1.7B-parameter text model with a 256K-token context, post-trained for agents, tool calling, and structured outputs. It reasons before it answers. Prompts and outputs may be retained and used... | 11 | 30.1 | +0.36 | ||
| #215 | LiquidAI: LFM2.5-24B-A2B saasLiquidAI: LFM2.5-24B-A2B: LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid... | 4 | 30.1 | +0.04 | ||
| #260 | Cohere: Command R7B (12-2024) saasCohere: Command R7B (12-2024): Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning... | 8 | 27.8 | -0.55 | ||
| #306 | xAI: Grok 4.20 Multi-Agent saasxAI: Grok 4.20 Multi-Agent: Grok 4.20 Multi-Agent is a variant of xAI???s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information... | 25.6 | -0.04 | |||
| #318 | Perceptron: Perceptron Mk1.5 saasPerceptron: Perceptron Mk1.5: Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,... | 2 | 25.1 | +0.01 | ||
| #332 | Anthropic: Claude Sonnet 4.5 saasAnthropic: Claude Sonnet 4.5: Claude Sonnet 4.5 is Anthropic???s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with... | 1 | 23.9 | +0.05 | ||
| #343 | Writer: Palmyra X5 saasWriter: Palmyra X5: Palmyra X5 is Writer's most advanced model, purpose-built for building and scaling AI agents across the enterprise. It delivers industry-leading speed and efficiency on context windows up to 1 million... | 1 | 21.6 | +0.00 | ||
| #346 | Sakana: Fugu Max saasSakana: Fugu Max: Fugu Max is the cost-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route... | 1 | 21.4 | +0.09 | ||
| #385 | inclusionAI: Ling-2.6-1T saasinclusionAI: Ling-2.6-1T: Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast... | 3 | 17.7 | -0.01 | ||
| #393 | Meta: Muse Glimmer 30B (batch) saasMeta: Muse Glimmer 30B (batch): Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon... | 17.4 | 0.00 | |||
| #396 | Google: Gemini 3.5 Flash Lite (batch) saasGoogle: Gemini 3.5 Flash Lite (batch): Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows. | 17.0 | 0.00 | |||
| #419 | Sakana: Fugu Ultra saasSakana: Fugu Ultra: Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route... | 1 | 14.4 | +0.08 | ||
| #433 | NVIDIA: Nemotron 3 Super (free) saasNVIDIA: Nemotron 3 Super (free): NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer... | 1 | 12.5 | 0.00 | ||
| #435 | inclusionAI: Ling-2.6-flash saasinclusionAI: Ling-2.6-flash: Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency.... | 12.4 | +0.01 | |||
| #440 | Google: Gemini 4 Argon (batch) saasGoogle: Gemini 4 Argon (batch): Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across... | 1 | 12.3 | 0.00 | ||
| #439 | Anthropic: Claude Sonnet 5 (batch) saasAnthropic: Claude Sonnet 5 (batch): Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,... | 1 | 12.3 | 0.00 | ||
| #451 | Sakana: Fugu Ultra v2 saasSakana: Fugu Ultra v2: Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to... | 6 | 11.6 | +0.13 | ||
| #462 | LiquidAI: LFM3-1.7B (free) saasLiquidAI: LFM3-1.7B (free): A compact 1.7B-parameter text model with a 256K-token context, post-trained for agents, tool calling, and structured outputs. It reasons before it answers. Prompts and outputs may be retained and used... | 3 | 10.8 | +0.16 | ||
| #491 | Anthropic: Claude Opus 4.7 (batch) saasAnthropic: Claude Opus 4.7 (batch): Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on... | 1 | 8.1 | 0.00 | ||
| #557 | inclusionAI: Ring-2.6-1T (free) saasinclusionAI: Ring-2.6-1T (free): Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency. It is optimized for coding agents, tool... | 1 | 2.9 | +0.01 | ||
| #559 | MoonshotAI: Kimi K2.6 (free) saasMoonshotAI: Kimi K2.6 (free): Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and... | 2.8 | 0.00 | |||
| #572 | inclusionAI: Ling-2.6-1T (free) saasinclusionAI: Ling-2.6-1T (free): Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company???s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a ???fast... | 2.2 | 0.00 | |||
| #586 | Mistral: Devstral Small 1.1 saasMistral: Devstral Small 1.1: Devstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral AI in collaboration with All Hands AI. Finetuned from Mistral Small 3.1 and... | 1.7 | 0.00 |
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