GPT-5.6 Sol (OpenAI)
Complex reasoning, agents, coding, research, and polished knowledge work
As of 2026-11-09, OpenAI lists GPT-5.6 Sol as its flagship GPT-5.6 model for complex professional work, with promotional pricing through 2026-11-30.Evidence over hype.
Ranked with a weighted evidence model.
Complex reasoning, agents, coding, research, and polished knowledge work
As of 2026-11-09, OpenAI lists GPT-5.6 Sol as its flagship GPT-5.6 model for complex professional work, with promotional pricing through 2026-11-30.Long-horizon agents, coding, document analysis, and professional workflows
Released 2026-09-22, Anthropic says Claude Opus 5.5 is its strongest Opus model yet and costs 40% less to run than Opus 5 for typical workloads.Fast multimodal work, coding, and Google-connected agent workflows
Released 2026-09-02, Google says Gemini 3.8 Flash is its best reasoning and coding Flash model yet at the same speed and low cost as 3.7 Flash.General-purpose frontier models for reasoning, analysis, writing, and multimodal work.
| Rank | Model / Tool | Whatβs new | Best used for | Main pro / con | Score |
|---|---|---|---|---|---|
| π₯ 1 | GPT-5.6 Sol (OpenAI) | As of 2026-11-09, OpenAI lists GPT-5.6 Sol as its flagship GPT-5.6 model for complex professional work, with promotional pricing through 2026-11-30. | Complex reasoning, agents, coding, research, and polished knowledge work | Pro: Frontier capability with broad product and API availability Con: Closed model; premium reasoning settings can raise cost | 94 |
| π₯ 2 | Claude Opus 5.5 (Anthropic) | Released 2026-09-22, Anthropic says Claude Opus 5.5 is its strongest Opus model yet and costs 40% less to run than Opus 5 for typical workloads. | Long-horizon agents, coding, document analysis, and professional workflows | Pro: Strong sustained agentic work and coding quality Con: Premium tier pricing and a smaller integration surface than broad suites | 93 |
| π₯ 3 | Gemini 3.8 Flash (Google) | Released 2026-09-02, Google says Gemini 3.8 Flash is its best reasoning and coding Flash model yet at the same speed and low cost as 3.7 Flash. | Fast multimodal work, coding, and Google-connected agent workflows | Pro: Speed, multimodality, stronger coding, and deep Google ecosystem integration Con: Product and model naming can make selection complex | 91 |
Generative and agent-assisted video production platforms.
| Rank | Model / Tool | Whatβs new | Best used for | Main pro / con | Score |
|---|---|---|---|---|---|
| π₯ 1 | Gemini Omni 1.2 Flash (Google) | Released 2026-11-05, Google made Gemini Omni 1.2 Flash generally available with native 15-second video, multi-turn editing, and 30% lower pricing than Omni 1.1. | Multimodal video creation with strong world understanding | Pro: Combines Gemini intelligence with longer clips, editing control, and lower pricing Con: Availability and controls vary by product surface | 93 |
| π₯ 2 | Runway + Wan 3.0 | On 2026-08-20, Runway added Wan 3.0 in tool mode and workflows with audio generation and multi-reference inputs up to 1080p. | End-to-end commercial creative production, editing, and agent-assisted workflows | Pro: Broad production suite with workflow automation and multi-model access Con: Best features span multiple plans and model providers | 91 |
| π₯ 3 | Sora 2 (OpenAI) | OpenAI says the Sora web and app were discontinued on 2026-04-26 and the Sora API on 2026-09-24. | Concept visualization and cinematic text-to-video generation | Pro: Strong prompt interpretation and visual coherence Con: Standalone product discontinuation reduces current buyer relevance | 68 |
Speech, voice-agent, transcription, music, and audio-generation platforms.
| Rank | Model / Tool | Whatβs new | Best used for | Main pro / con | Score |
|---|---|---|---|---|---|
| π₯ 1 | OpenAI Voice | As of 2026-11-09, OpenAI documents audio provenance checks using SynthID watermark detection. | Realtime conversational agents and integrated multimodal applications | Pro: Tight integration with reasoning, tools, and agent workflows Con: Platform coupling and usage-based cost | 92 |
| π₯ 2 | ElevenLabs v3 | On 2026-04-09, ElevenLabs announced on-premise and on-device deployment options for enterprise voice AI. | Expressive speech, localization, and production voice agents | Pro: High-quality expressive speech with a mature voice platform Con: Governance and consent controls remain essential at scale | 91 |
| π₯ 3 | Gemini Audio | Released 2026-09-15, Google introduced Gemini 3.8 Live and Gemini 3.5 Transcribe for real-time voice applications. | Voice experiences connected to Google AI and application surfaces | Pro: Native multimodal context and broad ecosystem reach Con: Capabilities and availability differ by product surface | 91 |
Systems that plan, use tools, and complete longer-running work.
| Rank | Model / Tool | Whatβs new | Best used for | Main pro / con | Score |
|---|---|---|---|---|---|
| π₯ 1 | ChatGPT Work / Codex (OpenAI) | As of 2026-11-09, OpenAI says Work supports scheduled and triggered tasks, while Codex remains a separate execution view for delegated work. | Delegated knowledge work, coding, research, and multi-step execution | Pro: Strong agent runtime, tools, parallel work, and broad adoption Con: Requires careful permissions, review, and cost governance | 94 |
| π₯ 2 | Claude Opus 5 Agents (Anthropic) | Released 2026-09-22, Anthropic says Claude Opus 5.5 is its strongest Opus model yet for long-running, highly capable agents. | Sustained analysis, coding, and enterprise agent tasks | Pro: Strong long-context reasoning and reliable task continuation Con: Integration breadth depends on the surrounding agent platform | 92 |
| π₯ 3 | Gemini Spark (Google) | On 2026-08-26, Google said Gemini Live was integrating with Spark for voice-driven multi-step tasks. | Persistent Google-connected personal and productivity workflows | Pro: Persistent execution with connected-app reach Con: Regional availability and connector behavior vary | 89 |
Coding agents and AI work environments for building and maintaining software.
| Rank | Model / Tool | Whatβs new | Best used for | Main pro / con | Score |
|---|---|---|---|---|---|
| π₯ 1 | Codex (OpenAI) | On 2026-06-02, OpenAI launched role-specific plugins, Sites, and annotations for Codex and said it serves more than five million weekly users. | Parallel software agents, repository work, automation, and knowledge artifacts | Pro: End-to-end agent workflow across desktop, cloud, CLI, and IDE Con: High-autonomy workflows require deliberate permissions and review | 95 |
| π₯ 2 | Claude Code (Anthropic) | Released 2026-09-28, Anthropic says Claude Sonnet 5.5 runs 30%+ faster and costs up to 30% less for most Claude Code work. | Large codebases, debugging, refactoring, and terminal-centered development | Pro: Strong code reasoning and sustained context Con: Best results can depend on premium model usage | 92 |
| π₯ 3 | Google Antigravity | Launched 2026-05-19, Google introduced the Antigravity agent for secure cloud-sandboxed agent execution in the Gemini API. | Gemini-native agent development and Google platform workflows | Pro: Integrated access to Gemini models and Google developer surfaces Con: Newer ecosystem with less established workflow maturity | 88 |