Frontier Radar: Pricing changes

Topics: Models · Agent platforms · Pricing changes · Weekly archive · RSS feed

• 2026-11-12
  Caveman launches Caveman Code, which runs Claude, Codex, and Cursor side by side on the subscriptions and keys you already pay for
  Caveman is the YC F26 company behind the token-saving Caveman prompt. It launched Caveman Code, a Mac and browser app where Claude, Codex, and Cursor work side by side on the subscriptions and keys you already pay for. A "Chief" starts chats, answers their questions, and reports back when work is done. Each pull request comes with a short review guide. Agents can also drive a desktop and browser on a cloud computer, which is in beta. In the company's own list-price runs, its harness was 21% cheaper than Codex on Terminal-Bench 4 with GPT-6.1 Sol, and both solved 90 of 192 runs. On Claude Opus 5.5 it was 14% cheaper while solving more tasks, 97 vs Claude Code's 83. The company also says it was 76% cheaper than Claude Code over day-long sessions across connected apps. It's free if you bring your own keys and logins. Source: Launch YC. Source
  Agent platforms Pricing changes
• 2026-11-12
  Perplexity's Decider v1.3 and Decider Flash v1.3 can now pull exact text spans with Locate
  Perplexity released Decider v1.3 and Decider Flash v1.3, the follow-ups to its earlier decision models. Instead of writing text, they return probabilities. They answer yes/no, multiple-choice, and score questions about a text or image input, which makes them a good fit for routing, classification, and checks inside agents. The new Locate feature returns exact text spans with start and end character offsets and confidence scores. It works on text only, with up to 128 Locate questions per request. The model card says v1.3 is built on Qwen3.8-27B and needs about 49 GiB of BF16 weights. Flash is distilled from it. Perplexity says both are on Hugging Face under an Apache license, through OpenRouter, and in the Perplexity Decisions API. But the Hugging Face model cards currently say the repositories are private and need an access token. MarkTechPost reports API pricing of $0.02 (v1.3) and $0.01 (Flash) per 1M input tokens, with output free. Source: Perplexity blog. Source
  Models Pricing changes
• 2026-11-12
  Google launches Gemini 4 Hydrogen, a fast model for coding and agentic workflows at $1.50 / $7.50 per 1M tokens
  On November 12, Google introduced Gemini 4 Hydrogen, the fast member of the Gemini 4 family. It's built for quick work across everyday coding and agentic workflows, while Gemini 4 Carbon and Argon handle deep, long-horizon reasoning. Google says Hydrogen scores 51 on the Artificial Analysis Intelligence Index at its default high thinking level, and 54 at xhigh. Argon scores 50. Hydrogen has a 1M-token context window. It costs a flat $1.50 per million input tokens and $7.50 per million output tokens across that window. Starting today, it is rolling out globally across all tiers of Google AI Studio, the Gemini API, Gemini for business, the Gemini app, and Google Search. Paid Google AI Pro and Ultra subscribers can try it in Google Antigravity. Source: Google blog. Source
  Models Pricing changes
• 2026-11-12
  Expo launches cloud iOS simulators and Android emulators for AI coding agents at $0.10 per minute
  On November 12, Expo released Expo Simulators, cloud iOS simulators and Android emulators for coding agents such as Cursor, Claude Code, and Codex. Agents can reproduce a bug, test a fix, and verify it without a developer's machine or a Mac. Each session leaves a screen recording, screenshots, and logs on the pull request. Teammates can open the running build from a link, with no TestFlight build needed. Expo adds no AI model of its own. It is available now on Expo paid plans at $0.10 per simulator minute for iOS and Android. Starter, Production, and Enterprise include 60 minutes a month. Expo says Agent Sessions will follow, with details expected by the end of November. That's a layer for triggering agents from sources like customer feedback, with prompt-injection protection. Source: Expo press release. Source
  Agent platforms Pricing changes
• 2026-11-11
  Google launches the Gemini Decisions API and Gemini Decision 1, which scores up to 1,000 questions per call at $0.10 per 1M input tokens
  On November 11, Google DeepMind introduced the Gemini Decisions API, a new endpoint for fast, closed-set decisions. It runs on a new model, Gemini Decision 1 (gemini-decision-1). Instead of generating text, it scores candidate options in a single pass and returns probabilities and confidence scores. It's aimed at tool selection, policy checks, model routing, and context grading inside agents. One request takes a shared input of text, images, audio, video, or PDFs (up to 256K tokens). That input comes with up to 1,000 yes/no, multiple-choice, or rubric-score questions. Google says end-to-end latency is 150-250 ms. Pricing is $0.10 per 1M input tokens, with no output tokens billed, and there is a no-cost tier in Google AI Studio. Source: Google blog. Source
  Models Pricing changes
• 2026-11-10
  Gemini 4 Carbon opens to all paying developers at $2 / $10 per 1M tokens through Nov 30, then $4 / $20
  On November 10, Google opened up Gemini 4 Carbon, its strongest model for long-horizon agentic work. Cyber defenders got it two weeks earlier. It is now in the Gemini API for all paying developers in Google AI Studio and in Gemini for business. It has the same introductory price as Gemini 4 Argon, $2 per 1M input tokens and $10 per 1M output tokens. The introductory period ends on November 30, 2026, and then the price becomes $4 / $20. Google says Carbon uses more tokens than Argon to reason and verify. Google still recommends Argon for most software engineering and knowledge work. Carbon is also rolling out to Google AI Ultra subscribers in Google Antigravity, the Gemini app, and AI Mode in Search. Source: Google blog. Source
  Models Pricing changes
• 2026-11-09
  Anthropic releases Claude Fable 5.2 and Mythos 5.2, cutting Fable pricing to $8 / $40 per 1M tokens
  On November 9, Anthropic released Claude Fable 5.2 (claude-fable-5-2) for demanding reasoning and long-horizon agentic work. It has a 1M-token context window and up to 128K output tokens. It costs $8 per 1M input tokens and $40 per 1M output tokens, down from $10 / $50 on Fable 5.1 and Mythos 5.1. Cache reads are $0.20 per 1M, Batch is half price, and Fast mode is $16 / $80. Fable 5.2 is available to all Claude API customers and on Amazon Bedrock, Google Cloud, and Microsoft Foundry. Claude Mythos 5.2 has the same capabilities and prices. It is limited to organizations verified through Anthropic programs such as the Cyber Verification Program. Source: platform.claude.com/docs/en/models/fable-5-2/whats-new-fable-5-2. Source
  Models Pricing changes
• 2026-11-09
  ThunderPhone v3 launches Zeus, an agent it says builds, tests, and tunes voice agents
  On November 9, ThunderPhone launched v3 with Zeus, which it calls a fully agentic harness for voice AI. Zeus can create a voice agent from a conversation about your business, or from call-center recordings, scripts, and SOPs. It can also import an existing agent from Vapi, Retell, Bland, or ElevenLabs. It then connects VoIP and software integrations, runs text and audio call simulations, flags problems on live calls, and proposes A/B tests of fixes. You choose whether it asks before each change. v3 retires the Spark, Bolt, and Storm stacks for one architecture that Zeus tunes per use case. Zeus can optimize toward a hard price cap or toward conversion value minus call cost. Zeus is free for now. Calls use cost-plus pricing with a 17% to 25% margin, and US numbers are $1/month each. Source: thunderphone.com/blog/introducing-zeus. Source
  Agent platforms Pricing changes
• Oct 2026
  Claude Opus 5.5 takes #1 on the Artificial Analysis Intelligence Index, with a 20% price cut
  Top model got cheaper, with a larger cache-hit discount — good news for long agent loops. Source
  Models Pricing changes
• Oct 2026
  GPT-6 Sol and Luna halve cost vs GPT-5.6
  Same index scores at about half the cost — check whether your agent builder lets you switch. Source
  Models Pricing changes
• 2026-11-01
  OpenAI will pool ChatGPT and Codex usage into one token-based allowance on Plus, Pro, and Business starting in December
  OpenAI's help center now says that starting in December, the usage allowance on Plus, Pro, and Business plans will be shared across ChatGPT and Codex, as OpenAI brings the agentic capabilities of Work into the main ChatGPT experience. Usage will be measured in tokens, so how much of the allowance a task uses depends on the model you choose and the task. More advanced models and complex tasks use more. Instant chat won't draw from the allowance. Combined remaining usage and reset times will show in Settings. After you hit the limit, you can wait for the reset, upgrade, or buy credits. OpenAI says it expects most users won't hit resets more often than they do now, but it hasn't published allowance sizes or an exact start date. If you run heavy Codex jobs on a ChatGPT plan, they'll draw from the same pool as your chats starting in December. Source
  Pricing changes
• 2026-10-29
  Mistral releases open weights for an improved Mistral Large 4, at $0.70 / $2.10 per 1M tokens
  Mistral released the weights of an improved Mistral Large 4 (Le Chonk) on October 29, three weeks after its public preview. It's a 1-trillion-parameter, natively multimodal model, and Mistral calls it the best open-weight model for coding. Mistral says it scores 48% on the Artificial Analysis Coding Agent Index, effectively tied with GLM-5.3 while using 47% fewer tokens per task. It also says it scores 41% on Terminal-Bench 4.0, up 13 points from the preview. Mistral also says it scores 51% on the Artificial Analysis Cyber Index and refuses 96.6% of malicious cyber requests on average. It now has Low, Medium, and High (default) reasoning modes. You can use it in Mistral Studio, the Mistral API, OpenRouter, Microsoft Foundry, and NVIDIA-hosted endpoints, or download the weights from Hugging Face. The license is a modified MIT license. It's free to use and commercialize, except that Model-as-a-Service providers need a separate commercial license. API pricing is $0.70 per 1M input tokens, $0.07 cached input, and $2.10 output. Source
  Models Pricing changes
• 2026-10-28
  Google announces Gemini 4 Carbon, its strongest model for cybersecurity and long-horizon work, going to cyber defenders first
  Google DeepMind announced Gemini 4 Carbon on October 28, two weeks after Gemini 4 Argon. Google says it ranks #1 at 59 on the updated v5.0 Artificial Analysis Intelligence Index. Google also says it leads on SEC-bench Pro (88.2%) for finding vulnerabilities, ExploitGym (54.8%) for exploitation, and CWE-bench (71.0%) for patching. It's built for long-running agentic engineering work, and Google says internal teams have seen it run for days on multi-step tasks. Access starts this week with a subset of cyber defenders, then widens to trusted partners through Google's Fairwind Program. Developers, businesses, and consumers get it later. It launches at the same introductory price as Argon: $2 per 1M input tokens and $10 per 1M output tokens, with cached input 95% off, rising to $4 / $20 after the introductory period. Source
  Models Pricing changes
• 2026-10-28
  Microsoft opens the Copilot harness to developers in Foundry Agent Service, free until December 1
  Microsoft announced on October 28 that the Microsoft Copilot harness, the agent loop behind GitHub Copilot and Copilot Studio, is in public preview in Foundry Agent Service. Microsoft runs the agent loop and sandbox, and you bring instructions, reusable skills, Foundry and MCP tools with configured authentication and approvals, and a supported Foundry model. Agents can work with files and code, hand bounded tasks to built-in subagents, and keep their definitions in source control. You can set one up through the Foundry portal, azd, Foundry Toolkit for VS Code, or the GitHub Copilot app. Long-running resilience for hosted agents is also generally available. The harness runtime is free until December 1, 2026. After that, sandbox compute is $0.0994 per vCPU-hour and memory is $0.0118 per GiB-hour, with model inference and other tools billed separately. Source
  Agent platforms Pricing changes
• 2026-10-28
  GitHub Copilot Fusion goes GA, routing each task across models with a 30% limited-time discount
  GitHub made Copilot Fusion generally available on October 28. Instead of picking a model, you pick Fusion and an effort level (Standard, High, or Max), and Copilot decides which models to use for each prompt: one model alone, a cheap model that escalates to a stronger one if a quality check fails, or a draft-review-revise loop between two models. GitHub says Fusion Max scored 60 on the Artificial Analysis Coding Agent Index, within two points of Claude Code with Opus 5.5 Max. It did that at about half the average API cost per task, about half the tokens, and about 40% less time. You're billed for each model it uses at that model's standard rate, and for a limited time paid Copilot plans get a 30% discount on model costs with Fusion. It's on all Copilot plans in VS Code, the GitHub Copilot app, Copilot CLI, and JetBrains IDEs, and admins control which models it can use. Source
  Models Pricing changes
• 2026-10-26
  OpenAI releases GPT-6.1 Terra at $1 / $5 per 1M tokens, built for computer use
  GPT-6.1 Terra is OpenAI's new fast, low-cost model for visual reasoning, computer use, coding, and everyday work. Standard API pricing is $1 per million input tokens, $0.05 per million cached input tokens, and $5 per million output tokens, which OpenAI says is 50% lower than GPT-5.6 Terra and GPT-6.1 Sol. On OpenAI's own Agents' Last Exam benchmark it scores 15 points higher than GPT-5.6 Terra at medium effort. On Terminal-Bench 4.0 it solves 50.3% of tasks at max effort, up from GPT-5.6 Terra's published 21.5%. These results are self-reported. It's available in ChatGPT Work, Codex, and the API as gpt-6.1-terra, and it launched the same day on Amazon Bedrock (with up to 1M input tokens) and in GitHub Copilot. Source
  Models Pricing changes
• 2026-10-23
  Moonshot releases Kimi K3.1 Pro, with open weights due by Nov 4
  Kimi K3.1 Pro upgrades Moonshot's 3T-class Kimi K3 and has a 1M-token context window. It's live now in Kimi's apps and API at $2 per million input tokens and $10 per million output tokens. A Highspeed version runs 2 to 3 times faster for $4 and $20. Moonshot says it scored 65.7% on Terminal-Bench 4.0, just behind Claude Opus 5.5 at 66.4%, but that's the company's own number. The API accepts OpenAI- and Anthropic-style requests, so you can put it behind Claude Code or Codex. Moonshot also says it stripped hacking-related training data out before the open release. Source
  Models Pricing changes
• 2026-10-22
  ThoughtSpot launches AgentSpot, a builder for agents, workflows, and apps with a free plan
  Anyone on a team can describe a job in plain language, and AgentSpot turns it into an agent, a scheduled or triggered workflow, or an interactive app. There's no charge for tokens or seats. You pay per agent conversation, workflow run, or app session, and building and testing are free. The free plan has no time limit, needs no credit card, and includes unlimited agents and users with a weekly usage allowance. Heavier use moves to the paid Fleet plan. It's a new no-code option for teams whose agents mostly work with company data. Source
  Agent platforms Pricing changes
• 2026-10-13
  Gemini 4 Argon GA: $2 / $10 per 1M tokens through Nov 30, then $4 / $20
  Google’s new frontier model for long-horizon agent tasks; intro pricing ends Dec 1 — watch agent builder model pickers and Gateway credit burn. Source
  Models Pricing changes
• 2026-10-06
  Zapier folds Zapier Agents into AI by Zapier, an agent step inside any Zap
  An agent's instructions, tools, and triggers now live in one AI step in the Zap editor. That means an agent can sit next to normal Zap steps, filters, and paths, and its runs show up in Zap History. You can require approval per tool instead of per agent, and you can pick a Standard, Advanced, or Premium model tier or name a specific model. AI steps bill as tasks. Default models are free, other tiers cost 1, 3, or 5 tasks per step, and a run that goes past 75 tasks pauses for a human. Existing Zapier Agents users will see a migration banner on eligible agents. Source
  Agent platforms Pricing changes
• 2026
  Gemini 3.8 Flash GA: $0.75 / $3.75 per 1M tokens until Dec 31, 2026, then $1.50 / $7.50
  Launch pricing ends Jan 1 — agents running on Flash will roughly double in model cost. Source
  Models Pricing changes