AI Coding Live News

Anthropic Publishes a Claude Model Selection Guide: Start Most Coding on Opus 5.5 at Medium, Tune Effort Before Switching Models, Put Subagents on Haiku 5.5

On November 9, Anthropic's developer blog claude.dev published a selection guide by Addy Osmani, "Which Claude model should you build with?"; the ClaudeDevs post drew about 9,200 likes and 12,000 bookmarks. The core advice: start most coding and knowledge work on Opus 5.5 at medium effort (the Claude Code default); drop to Sonnet 5.5 for well-scoped bug fixes and spec-driven work; use Haiku 5.5 for classification, routing, extraction, and log-reading subagents; and move up to Fable 5.2 for major refactors, migrations, and deep research. Before switching models, tune effort and give the model a way to verify its own work. The guide also lists prices, default effort levels, and compatibility differences that can trigger 400 errors when migrating.

Anthropic Publishes a Claude Model Selection Guide: Start Most Coding on Opus 5.5 at Medium, Tune Effort Before Switching Models, Put Subagents on Haiku 5.5

Key Takeaways

  • Prices (vendor figures, per million input/output tokens): Haiku 5.5 $0.10/$0.50 ($0.50/$2.50 above 100K), Sonnet 5.5 $2/$10, Opus 5.5 $4/$20, Fable 5.2 $8/$40; all four have a 1M context window and 128K max output
  • Anthropic's own FrontierCode 2.0 runs: Fable 5.2 at high scores 45.3% vs Opus 5.5 at max 45.5% for roughly half the cost per task, so test Fable before pushing Opus past high
  • On a SWE-bench Pro subset, running Opus 5.5 at low and re-running failures at high passed about 97% at about $0.17 per task, versus 95.3% at $0.29 with everything at high
  • An Opus 5.5 lead over up to 25 parallel Sonnet 5.5 workers searching about 22 million tokens of code cost about a third less than Opus alone, with a similar score
  • Migration traps: Fable 5.2 enables preserved thinking on all API accounts, so editing earlier context returns a 400; tool_choice any/tool also returns 400 on Sonnet 5.5, Opus 5.5, and Fable 5.2
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Google Antigravity v2.30 Adds a Knowledge Work Layout That Hides the Terminal and Git for Research and Writing, and Can Import MCP Servers, Skills and Subagents From Claude Code, Codex and Cursor

Google Antigravity announced a new Knowledge Work interface layout on November 9, tuned for research, writing and artifacts. It keeps the same agent harness, plugins and MCP tools but drops the terminal and git clutter. The official changelog lists it as the headline of Antigravity App v2.30.0: first sign-in now asks what kind of work you do and sets up a matching layout, voice mode and remote agents have finished rolling out, and the agent can import MCP servers, skills, custom commands, subagents and instruction files from Claude Code, Codex and Cursor into a plugin you own. The release has 27 improvements and 25 fixes.

Google Antigravity v2.30 Adds a Knowledge Work Layout That Hides the Terminal and Git for Research and Writing, and Can Import MCP Servers, Skills and Subagents From Claude Code, Codex and Cursor

Key Takeaways

  • Switch layouts in Settings > General > Interface Layout; Knowledge Work hides code changes and developer tools, folds agent progress into one line and describes commands in plain language; not available on business and enterprise accounts
  • First sign-in asks you to pick from 5 work types (Software Engineering, Knowledge Work, Data & Analytics, Science, Design), sets up a matching layout, and Home suggests starters that add the plugins they need
  • Lower switching cost: the agent can import MCP servers, skills, custom commands, subagents and instruction files from Claude Code, Codex and Cursor into a plugin you own
  • Voice mode (personal accounts) and remote agents (AI Ultra and paid AI Pro) finished rolling out in v2.30.0; the Auto permission preset is no longer marked Preview
  • The announcement passed 1,200 likes and 51,000 views within about 2 hours; the release has 27 improvements and 25 fixes
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Thinking Machines Launches Inkling 2 Small: 594B/17B MoE, Vendor-Reported AA Intelligence Index ~31; Tinker Inference and Fine-Tuning Now, Apache 2.0 Weights Planned Next Week

On November 5 Thinking Machines Lab introduced Inkling 2 Small, the first second-generation model: a 594B-total / 17B-active MoE with image input and variable thinking effort. The company reports an Artificial Analysis Intelligence Index score of about 31, with large gains versus prior Inkling models in agentic coding, vision and knowledge work. It is available now on Tinker for inference and fine-tuning with closed weights; full Apache 2.0 weights are planned next week after external safety testing. Tinker list pricing is about $0.30/$1.00 per million input/output tokens at 64K context.

Thinking Machines Launches Inkling 2 Small: 594B/17B MoE, Vendor-Reported AA Intelligence Index ~31; Tinker Inference and Fine-Tuning Now, Apache 2.0 Weights Planned Next Week

Key Takeaways

  • Specs (official): 594B total / 17B active MoE; Hybrid + Vision; variable effort; no audio (unlike prior Inkling)
  • Scores (vendor): AA Intelligence Index ~31; FrontierCode v2.0 ~25.4%; DeepSWE v1.1 ~72.1%; DesignArena Website Elo ~1340
  • Availability: Tinker Playground / fine-tune and sampling today; closed weights; Apache 2.0 full weights planned next week after safety tests
  • Pricing (Tinker docs): Prefill $0.30 / Sample $1.00 / Train $1.50 per 1M tokens at 64K; cached Prefill $0.03
  • Training note (official): joint RL ~1,075 steps and 17M+ rollouts; early checkpoints tested on OpenCode as Fledge-Alpha
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⚡ Inkling 2 Small⚡ Inkling-Small⚡ Inkling🤖 OpenCode🤖 Tinker🌐 Thinking Machines

StepFun opens Step 5 Preview weights: 600B/27B sparse MoE agent flagship with 1M context now on Hugging Face and ModelScope

On 2026-10-15 StepFun released open weights for Step 5 Preview as promised: a 600B-total / 27B-active sparse MoE with up to 1M-token context and vision input, aimed at agentic software engineering and knowledge work. Checkpoints are on Hugging Face (FP8, BF16, NVFP4) and ModelScope. Official scores include StepCodeBench 49.0%, FrontierFinance 66.4%, and Artificial Analysis Intelligence Index 44. September coverage was API/index only; this is the first public weight drop.

StepFun opens Step 5 Preview weights: 600B/27B sparse MoE agent flagship with 1M context now on Hugging Face and ModelScope

Key Takeaways

  • Specs: sparse MoE 600B total / 27B active, up to 1M-token context, text+image input (model page)
  • Weights: stepfun-ai/Step-5-Preview plus BF16 and NVFP4 on Hugging Face and ModelScope (HF card)
  • Coding: StepCodeBench avg@4 49.0% (leads the open-weight set StepFun cites); DeepSWE v1.1 67.7% (official table)
  • Finance / index: FrontierFinance 66.4%; Artificial Analysis Intelligence Index 44 (matches earlier AA coverage)
  • Serve via official vLLM / SGLang Docker images and OpenAI-compatible APIs; license is StepFun Model License 1.0 (Apache-2.0-style with commercial conditions)
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Paper Instruments releases Ultramarine 1 Flash: non-verifiable-RL knowledge-work model on GLM-5.3 Flash, $0.13/task on its own suite, API live, weights promised

San Francisco lab Paper Instruments launched Ultramarine 1 Flash on 2026-10-14 16:02 UTC: GLM-5.3 Flash post-trained with large-scale non-verifiable RL (per-task rubric rewards) for finance, legal, consulting and operations work. Its report claims +4.1 points on average over the base across six knowledge-work benchmarks with 6.5% fewer output tokens, and 59.3 at $0.13/task on its internal PI Knowledge Work suite vs Claude Fable 5 at 57.8 / $8.19. An OpenAI-compatible API (ultramarine-1-flash) is live; the CEO says weights follow in about two weeks and post-training cost ~$300k. The headline cost comparison rests on an internal benchmark and has not been independently reproduced.

Paper Instruments releases Ultramarine 1 Flash: non-verifiable-RL knowledge-work model on GLM-5.3 Flash, $0.13/task on its own suite, API live, weights promised

Key Takeaways

  • GLM-5.3 Flash base + modified CISPO RL (LoRA rank 64, 131K context, up to 250 turns); +4.1 avg over base on 6 knowledge-work benchmarks with 6.5% fewer tokens
  • JobBench 62.9 (#1, Gemini 3.8 Flash 60.6); FrontierFinance 53.3 (#1); APEX-Agents 1.1 57.0 vs Gemini 3.8 Flash 64.3
  • Internal PI Knowledge Work: 59.3 at $0.13/task vs Claude Fable 5 57.8 / $8.19 and GPT-6 Sol 61.3 / $1.26
  • Trade-off: slight coding regression — Terminal-Bench 2.1 83.2 (base 84.3), DeepSWE 1.1 61.5 (base 63.4)
  • Curriculum: 4 domains, 19 practice areas, 88 synthetic environment types, fully synthetic tasks graded by rubrics
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Google Cloud launches Gemini agent: universal work agent with Gemini+Claude routing, sub-agents and coworker identities, multi-day cloud persistence

At Gemini at Work 2026 (Oct 8) Google launched the Gemini agent: objectives from one prompt box spanning Q&A, knowledge work, media, and code; cloud-persistent memory with sub-agent/coworker orchestration and Gemini+Claude model choice. Private preview now.

Google Cloud launches Gemini agent: universal work agent with Gemini+Claude routing, sub-agents and coworker identities, multi-day cloud persistence

Key Takeaways

  • One universal work agent for Q&A, knowledge work, media, and coding from objectives not step lists
  • Sub-agents plus coworker agents with dedicated identity/@agents.company.com; multi-hour/day runs
  • Model choice decoupled: routes across Gemini family and Anthropic Claude today
  • Governance: Agent Identity, Gateway, sandbox, Smart Routing, per-project spend caps
  • Availability: private preview now; broader for select Workspace Business/Enterprise
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Google DeepMind launches Gemini 4 Argon: DeepSWE 77.9%, 1M output; Fairwind trusted defenders first

DeepMind announced frontier Gemini 4 Argon for long-horizon coding, enterprise knowledge work, and cyber defense—first via Fairwind trusted defenders. Official: DeepSWE v1.1 77.9%, AutomationBench #1 at 51.3%, LVBench 91.7%, CWE-bench v1 tied 68%; intro $2/$10 per 1M tokens; 1M output limit.

Google DeepMind launches Gemini 4 Argon: DeepSWE 77.9%, 1M output; Fairwind trusted defenders first

Key Takeaways

  • Model: Gemini 4 Argon for long-horizon coding / enterprise knowledge work / cyber defense — official blog
  • Benchmarks (official): DeepSWE v1.1 77.9% SOTA; AutomationBench 51.3% #1; LVBench 91.7%; CWE-bench v1 tied 68%; Fairwind charts: vuln discovery 85.8% / Wiz pen-test 70.9%
  • Capacity & price: 1M output tokens (from ~64K); intro $2/$10 per 1M in/out (~95% off cached input), then $4/$20
  • Access: Fairwind trusted defenders today; next paid API + Google AI Ultra; not in public AI Studio yet — Fairwind
  • Internal: quantum subroutine spacetime −40% vs published baseline; libgav1 Rust port 2.7× faster; 300+ TiB memory freed in datacenters
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Anthropic ships Claude Opus 5.5: Fable 5.1-level on most tasks, ~40% cheaper than Opus 5

Anthropic / Claude (@claudeai; confirmed by @AnthropicAI) launched Claude Opus 5.5 today, the first model in the new Claude 5.5 family. Officially it matches Claude Fable 5.1 on most tasks, and is a major step up from Opus 5 on agentic coding, computer use, and knowledge work. At default settings typical workloads cost about 40% less than Opus 5. Pro, Max, and Team five-hour usage limits are increased, with a bankable rate-limit reset for subscribers.

Anthropic ships Claude Opus 5.5: Fable 5.1-level on most tasks, ~40% cheaper than Opus 5

Key Takeaways

  • Opus 5.5 opens the Claude 5.5 family and is available today; most tasks match Claude Fable 5.1.
  • Leads Opus 5 on agentic coding, computer use, and knowledge work; ~40% cheaper on typical default workloads.
  • Higher Pro/Max/Team five-hour usage caps plus a bankable rate-limit reset for subscribers.
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Grok 4.7 announced

Elon Musk posted “Grok 4.7.” Same-day discussion said the model improves on Grok 4.6 for agentic coding and knowledge work, and that it works best with the xAI Build harness.

Grok 4.7 announced

Key Takeaways

  • Elon Musk posted “Grok 4.7.” Same-day discussion said the model improves on Grok 4.6 for agentic coding and knowledge work, and that it works best with the xAI Build harness.
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Claude Fable 5.1 and Mythos 5.1 Launch for Coding and Knowledge Work

Anthropic introduced Claude Fable 5.1 and Claude Mythos 5.1, calling them the world’s most advanced models for coding and knowledge work. Fable 5.1 is built for long-running agentic tasks and research, with cache reads 75% cheaper than Fable 5—about 25% lower cost on typical workloads and up to 45% on highly agentic ones. Cursor reported 73.4% on CursorBench 3.2 at max effort.

Key Takeaways

  • Fable 5.1 is generally available; Mythos 5.1 is limited to trusted cyberdefense and life-science access
  • Cache-read pricing down 75%, cutting agentic workload cost by up to 45%
  • Immediately live in Cursor and GitHub Copilot for long-horizon coding and research
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Anthropic Launches Claude Fable 5.1, the World's Most Advanced Coding Model

Anthropic launched Claude Fable 5.1 and the restricted Mythos 5.1, calling them the world's most advanced models for coding and knowledge work. Fable 5.1 scores 55.8% on Terminal-Bench 4.0 (vs. 42.0% for Fable 5) and more than doubles Fable 5 on Terminal-Bench-Science 0.1 at 52.6%. Cache reads are 75% cheaper, cutting typical cost about 25% and highly agentic workloads by up to 45%. It is already live in Cursor (73.4% on CursorBench 3.2) and GitHub Copilot.

Key Takeaways

  • Fable 5.1 is built for long-running coding, deep codebase research, and complex agentic workflows, with fewer false refusals
  • Cheaper cache reads cut agentic cost by up to 45%, and lower-effort settings can match prior peak quality
  • Mythos 5.1 is trusted-access only, paired with Enterprise Frontier Safeguards for ZDR-plus monitoring
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Perplexity Hybrid Compute ships on Mac: cloud reasoning with local private files

Perplexity said Hybrid Compute is live for Pro, Max, and Enterprise subscribers in the Mac app on macOS 15+: cloud models handle search, planning, and reasoning while a local model processes private files and sensitive data, then merges into one answer without uploading that sensitive content. It gives builders and knowledge workers a hybrid agent path that can keep code and docs on-device.

Key Takeaways

  • Available today for Pro/Max/Enterprise in the macOS 15+ Mac app.
  • Cloud models search and reason; a local model handles private files so sensitive data stays off servers.
  • Fits private coding/docs workflows alongside Perplexity’s local-agent direction.
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Anthropic Launches Claude Fable 5.1, a New Peak for Coding and Knowledge Work

Anthropic released Claude Fable 5.1, plus Mythos 5.1 for cyber defenders and life scientists. Fable 5.1 scores 55.8% on Terminal-Bench 4.0 versus 42.0% for Fable 5, more than doubles Terminal-Bench-Science to 52.6%, and is Cursor’s strongest CursorBench 3.2 result at 73.4% max effort. Cache reads are 75% cheaper, cutting typical costs about 25% and highly agentic workloads up to 45%.

Key Takeaways

  • Fable 5.1 is available everywhere today as Anthropic’s most advanced coding and knowledge-work model
  • It sets a new bar on Terminal-Bench 4.0 (55.8%) and more than doubles science-terminal scores
  • Mythos 5.1 ships via trusted access; Enterprise Frontier Safeguards roll out in phases this fall
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Anthropic Unveils Claude Fable 5.1 and Mythos 5.1 for Coding and Knowledge Work

Anthropic launched Claude Fable 5.1 and Claude Mythos 5.1, calling them the world's most advanced models for coding and knowledge work. Fable 5.1 more than doubled Terminal-Bench-Science 0.1 to 52.6% and lifted Terminal-Bench 4.0 from 42.0% to 55.8%, while cutting cache-read prices 75% and typical agentic costs by up to 45%.

Key Takeaways

  • Scores 52.6% on Terminal-Bench-Science 0.1 (more than double Fable 5) and 55.8% on Terminal-Bench 4.0
  • Cache reads cost 75% less; real-world agentic workloads can drop about 25–45%
  • Fable 5.1 is generally available today; Mythos 5.1 is trusted-access, with Enterprise Frontier Safeguards rolling out this fall
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Gemini 3.7 Flash arrives stronger for coding, knowledge work, and web development

Google DeepMind launched Gemini 3.7 Flash, calling it stronger for coding, knowledge work, and web development. It reports gains over 3.6 Flash on debugging and issue resolution, better functional web layouts and apps with fewer prompts, and improved reasoning on real-world business workflows. It is available in Antigravity, with API access in Google AI Studio and Android Studio; Google AI Pro and Ultra subscribers can use it in Gemini Spark in the Gemini app.

Key Takeaways

  • 3.7 Flash retargets the cheap Flash tier at coding: debugging, issue resolution, and web-app generation.
  • Availability spans Antigravity, AI Studio, and Android Studio—agent IDE plus native dev.
  • Pro and Ultra subscribers get it in Gemini Spark, not only via API.
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