Comparisons

OpenAI Luna successor comparison

GPT-6 Luna is the September 22, 2026 high-volume GPT-6 model at $0.10 input and $0.50 output per million tokens. OpenAI's pricing page lists GPT-5.6 Luna at $0.20 and $1.20 for short context. Choose GPT-6 Luna for new high-volume routes, including the Free and Go desktop trial OpenAI announced. Keep GPT-5.6 Luna only while gpt-5.6-luna is still pinned. Output is not exactly half of the old $1.20 list ($0.50 versus $0.60), so quote the cards rather than a flat 50% on every token type.

OpenAI Sol successor comparison

GPT-6 Sol is the September 22, 2026 successor in the Sol tier. Its standard rates are $2 input and $10 output per million tokens. OpenAI's current pricing page lists GPT-5.6 Sol at $4 and $20 for short context, and $8 and $30 for long context. Choose GPT-6 Sol for new Sol-tier coding and agent work. Keep GPT-5.6 Sol only while a deployment is still pinned to gpt-5.6-sol. This catalog does not treat the lower GPT-6 price as proof of equal quality.

OpenAI flagship tier comparison

GPT-6 Astra remains OpenAI's flagship. GPT-6 Sol, launched September 22, 2026, is the cheaper complex-coding and agentic model at $2 input and $10 output per million tokens versus Astra's $10 and $50. Both document a 1.05M context window and 128K max output. Choose Astra for the hardest OpenAI work. Choose Sol when you want a GPT-6 coding lane without Astra's unit price. OpenAI has not published an Astra-versus-Sol score table, so lower price is not a quality verdict.

OpenAI GPT-6 tier comparison

GPT-6 Sol and GPT-6 Luna launched together on September 22, 2026. Sol is the complex-coding and agentic model at $2 input and $10 output per million tokens. Luna is the efficient high-volume model at $0.10 and $0.50. Both use a 1.05M context window, 128K max output, and reasoning.effort from none through max. Choose Sol when the task is hard coding or agents. Choose Luna for focused, high-volume work. OpenAI has not published a head-to-head benchmark on the model cards, so this page does not invent one.

Claude Opus successor comparison

Claude Opus 5.5 replaces Claude Opus 5 as the latest Opus-tier model. Anthropic prices Opus 5.5 at $4 input and $20 output per million tokens, versus $5 and $25 for Opus 5, and cache reads at $0.20 versus $0.50. Anthropic says typical default-setting workloads cost about 40% less and that output is more than 30% faster. Choose Opus 5.5 for new work. Keep Opus 5 only while a client still depends on behavior Opus 5.5 changed.

Claude family comparison

Claude Opus 5.5 is Anthropic's September 22, 2026 Opus model. Claude Fable 5.1 remains the generally available Fable flagship from September 1. Anthropic says Opus 5.5 performs at Fable 5.1's level on most work and costs less: $4/$20 versus Fable's $10/$50, with cache reads at $0.20 versus $0.25. Choose Opus 5.5 for the new default Claude price/performance lane. Choose Fable 5.1 only when a workload still needs that Fable ID after you re-run your own evals.

Frontier flagship comparison

Claude Opus 5.5 and GPT-6 Astra are the current hardest generally documented models from Anthropic and OpenAI. Choose Claude Opus 5.5 for the Claude API ID claude-opus-5-5 at $4/$20 per million tokens, 1M context, and Anthropic's September 22, 2026 Opus upgrade. Choose GPT-6 Astra for the OpenAI API ID gpt-6-astra at $10/$50, a 1.05M context window, and OpenAI's hardest coding and computer-use lane. Anthropic's launch table is vendor-reported and does not make one model the winner on every axis.

ChatGPT vs Foundry image comparison

ChatGPT Images 2.5 is OpenAI's September 8, 2026 ChatGPT image product for conversational generation, templates, sketch-to-image, and the Images tab. It is not an Images API model field. MAI-Image-2.6 is Microsoft AI's September 4, 2026 highest-precision image SKU in public preview on Microsoft Foundry and MAI Playground, with vendor-cited Arena ranks, multi-image reference editing, web grounding, and up to 1.5K. Choose ChatGPT Images 2.5 to stay in ChatGPT. Choose MAI-Image-2.6 for Foundry quality stills. GPT-Image-2.5 Sunburst remains the OpenAI API comparison.

Open Flash vs closed flagship comparison

DeepSeek-V4.1-Flash is DeepSeek's September 10, 2026 multimodal Flash ID (API deepseek-flash): a 552B CED MoE with MIT weights, 1M context, and off-peak list rates of $0.15/$0.60 per 1M. GPT-6 Astra is OpenAI's September 2026 flagship (API gpt-6-astra): 1.05M context, $10/$50 Standard, reasoning effort through max, and the first broadly deployed OpenAI model at Preparedness Critical cyber. Choose Flash for open-weight DeepSeek cost-lane work. Choose Astra for hardest OpenAI agents. Price bands differ by more than an order of magnitude — do not treat them as peers without a task budget.

Digital employee vs coding agent comparison

QoderWake is Alibaba Qoder's always-on digital-employee runtime. Official 1.0 notes (September 3, 2026) describe Wakers — named roles with memory, skills, connectors, and permissions — orchestrated with Groups and WakerFlow. Qwen Code is the open-source Qwen terminal coding agent (GitHub QwenLM/qwen-code) with file ops, shell, web, MCP, and subagents. Choose QoderWake when the job is an org digital employee, not a repo CLI. Choose Qwen Code when a developer should drive an open-source coding agent. This is not Qwen Code vs Claude Code.

Coding agent comparison

Kimi Code is Moonshot AI's terminal and IDE coding agent. Official September 11, 2026 notes say K2.8 Preview now serves the unchanged model ID kimi-for-coding. Claude Code is Anthropic's terminal and IDE coding agent on Claude models. Choose Kimi Code when you want Moonshot membership credits and the Kimi Code surface. Choose Claude Code when the team is on Anthropic plans. Qwen Code vs Claude Code remains the other China-stack agent page.

Hosted app vs coding agent comparison

ChatGPT Sites is OpenAI's public-beta product that creates, hosts, and shares websites and web apps from ChatGPT. OpenAI Codex is the coding agent. They are not substitutes. Choose Sites when the output should be a ChatGPT-hosted URL without your own deploy pipeline. Choose Codex when you need to edit a repository, run tests, and ship through your own hosting. Cursor is not on this page.

Coding agent comparison

Google Antigravity is Google's agent-first coding surface: desktop manager, CLI, SDK, and IDE, with Gemini 3.8 Flash as the current Flash workhorse. Claude Code is Anthropic's terminal- and IDE-oriented coding agent on Claude models. Choose Antigravity when you want Google's multi-agent command center and Gemini stack. Choose Claude Code when the team is already on Anthropic plans and wants reviewable repo work in the terminal. Cursor vs Claude Code remains a separate page.

Coding agent comparison

OpenAI Agents API is the public-beta API that exposes the Codex harness as a managed cloud runtime. OpenAI Codex is the first-party coding product (CLI, IDE, and ChatGPT surfaces). They share a harness lineage but are not the same SKU. Choose Agents API when your application must create durable sessions, pick the sandbox, and attach tools or MCP servers. Choose Codex when a developer should run the coding agent themselves. This is not Cursor vs Claude Code.

Voice conversation vs ASR comparison

GPT-Live-1 is OpenAI's full-duplex voice model for spoken conversation. Muse Voice Transcribe is Meta's official speech-to-text model. They are not substitutes. Choose GPT-Live-1 when you need a live voice agent that listens and speaks at the same time and delegates tools to a backend. Choose Muse Voice Transcribe when you need transcripts, not a talking front-end. Gemini 3.5 Transcribe is the other hosted ASR in this catalog; it is not this page.

Chinese Flash model comparison

DeepSeek-V4.1-Flash (September 10, 2026) is DeepSeek's new 552B CED Flash model with native vision and MIT weights. GLM-5.3-Flash (August 26, 2026) is Z.ai's 320B-A18B natively multimodal Flash model, also MIT. Both are cost-lane Chinese open-weight flashes. Choose DeepSeek-V4.1-Flash when you want the current DeepSeek API default and the September 14 V4-Pro route. Choose GLM-5.3-Flash when you are already on Z.ai Coding Plan or the GLM serving stack. Rematch on one harness; do not treat vendor leaderboards as interchangeable.

DeepSeek family comparison

DeepSeek-V4.1-Flash is the September 10, 2026 multimodal Flash ID. DeepSeek-V4-Pro is the prior high-capability V4 endpoint. DeepSeek says third-party tests put V4.1-Flash ahead of V4-Pro on performance, cost, speed, and total runtime, and will route all deepseek-v4-pro requests to V4.1-Flash at Flash rates from 04:00 UTC on September 14, 2026 until V4.1-Pro launches. Choose V4.1-Flash now. Keep a V4-Pro pin only if you must finish work before that cutover.

GPT Image 2.5 sibling comparison

GPT-Image-2.5 Sunburst is OpenAI's most capable September 8, 2026 image model. GPT-Image-2.5 Flare is the fastest 2.5 ID for everyday generation. Both share $5/$8/$30 token rates and quality settings through max. Choose Sunburst when editing precision is the constraint. Choose Flare when latency on everyday images matters more. Measure tokens; the GPT Image 2 calculator does not estimate 2.5 consumption.

ChatGPT vs API image comparison

ChatGPT Images 2.5 is the September 8, 2026 ChatGPT image product. GPT-Image-2.5 Sunburst is the Images API ID OpenAI documents as its most capable 2.5 model. Choose ChatGPT Images 2.5 for conversational generation, templates, sketch-to-image, and the Images tab. Choose Sunburst when you need a pinned API ID, quality enums through max, and token-metered Images or Responses tool calls. They launched the same day; they are not the same billing surface.

Hosted image-model comparison

Muse Image 1.0 is Meta's $0.01/image generate-and-edit model on Meta Model API. MAI-Image-2.6 is Microsoft AI's September 4, 2026 Foundry quality image SKU. Choose Muse Image for a flat per-image meter, built-in web search, and OpenAI-compatible image endpoints. Choose MAI-Image-2.6 for Foundry identity, multi-reference editing, and Microsoft's current Arena-cited quality lane. Closed weights on both sides.

Hosted speech-to-text comparison

Muse Voice Transcribe is Meta's September 1, 2026 streaming ASR model; Gemini 3.5 Transcribe is Google's August 2026 public-preview speech-to-text SKU. Choose Muse Voice Transcribe for Meta Model API realtime/file ASR, 20+ speaker diarization, and $0.18/hour audio. Choose Gemini 3.5 Transcribe for Gemini API, AI Studio, Antigravity, and Google-hosted voice-agent formatting. This is ASR vs ASR, not Spark vs Gemini Flash.

Muse Spark successor comparison

Muse Spark 1.3 is Meta's September 2, 2026 hosted coding and agent checkpoint; Muse Spark 1.2 remains the previous version and the documented Muse Code default. Choose 1.3 for new Meta Model API work, max reasoning on the Standard tier, and Meta's claimed fewer tool calls. Keep 1.2 when a prompt pack is pinned, when you need the audio-understanding path Meta still recommends on 1.2, or until you change the Muse Code default. Same $1.25/$4.25 Standard list price.