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All blog posts, tools, and guides about Pricing from Developers Digest.
43 resources - 42 posts, 1 tool

OpenAI shipped GPT-6.1 Sol on September 29: near-Astra benchmark scores at a fifth of Astra's price, cache reads cut to $0.10 per million tokens, 1.05M context, and same-day Codex availability. The verified pricing, the Astra 6.1 safety hold, the community read, and how to run it.

Claude Code is Anthropic's agent for software engineering; Claude Cowork is the same agent loop pointed at documents, spreadsheets, and research. Both come with every paid Claude plan from $17/month. Here is how to pick, with a verified September 2026 pricing table.

Codex is included in ChatGPT plans from Free to Enterprise. On September 29, 2026, OpenAI reopened Pro $200 with roughly half the old usage value, added Pro $500 with Astra Ultrafast, and left Plus at $20/month. Existing Pro $200 subscribers keep their old allowance through October 29, 2026. Here is how resets work, what each plan buys, and what to do about 'Selected model is at capacity'.

Three frontier launches in 48 hours repriced the agentic workhorse tier: Grok 4.7 at $2/$6 (Sep 21), Claude Opus 5.5 at $4/$20 with $0.20 cache reads (Sep 22), and GPT-6 Sol at $2/$10 with Luna at $0.10/$0.50 (Sep 22). Same-day-verified rates, honest benchmark attribution, and a decision guide.

DeepSeek V4.1 Flash replaced V4 Flash. Official API: $0.15 input, $0.60 output off-peak. OpenRouter hosts start near $0.05. MIT weights are on Hugging Face.

GLM-5.3 is Z.ai's open-weights coding model. Run it through Z.ai's API at $1.40 per million input tokens, cheaper OpenRouter hosts, a Coding Plan, or self-host.

DeepSeek V4 Flash routed to Novita on Vercel AI Gateway is 90% off for Pro customers through August 11, dropping the effective rate to $0.014 input / $0.028 output per million tokens. Here is the verified before/after math, the provider-pinning setup, and what a 10x cheap agent loop means for routing decisions.

Cursor shipped a deliberate change on July 31 making the Usage page tokens-only for self-serve plans, removed the dollar Cost column, and zeroed per-request cost fields in the dashboard API - including for historical records. Staff confirmed the change is intentional and that the numbers are still tracked internally.

The cheap coding tier repriced again: GPT-6 Luna opened at $0.10/$0.50 and took the floor from DeepSeek, whose V4.1-Flash cut rates to $0.15/$0.60 off-peak. Gemini 3.5 Flash and Claude Haiku 4.5 hold the hosted middle. Prices verified September 26, 2026.

OpenAI slashes GPT-5.6 Luna by 80% to $0.20/M input tokens, cuts Terra by 20%, adds Sol Fast mode at 2.5x speed, and reveals Sol autonomously optimized its own production kernels.

A practical guide to routing between Claude Opus 5, Sonnet 5, Haiku 4.5, GPT-5.6 Sol/Terra/Luna, and Kimi K3 based on task complexity, cost budget, and latency requirements - with decision frameworks and code examples.

Luna drops from $1/$6 to $0.20/$1.20 per million tokens, Terra from $2.50/$15 to $2/$12, and Sol gets a paid Fast mode. What the new floor means for agent economics, Codex quotas, and the competition.

Where to access Kimi K3: Moonshot's API at $3 input and $15 output per million tokens, OpenRouter hosts, inference clouds, and open weights.

A practical way to price website projects using scope, time, risk, and value, with real examples for landing pages, business sites, and custom builds.

Martin Alderson's argument for why open-weights models like GLM 5.2 will compress frontier lab margins is sparking debate on HN. Here is what the thesis actually says, where HN agrees and disagrees, and why it matters for developers choosing models.

Comparing LLMs by token pricing alone can lead you to choose worse, more expensive models. Cost per task tells the real story.

One expensive orchestrator plus many cheap workers beats an all-frontier fleet for most workloads. Here is the decision-intent cost math with verified Fable 5, Sonnet 5, and Opus 4.8 prices, plus the Sonnet 5 tokenizer caveat that changes worker cost.

Claude is now GA in Microsoft Foundry on Azure with native billing, Entra ID auth, and GB300 Blackwell infrastructure. Here is the full developer setup - CCU pricing, SDK examples, deployment options, and what enterprise teams need to know.

A viral Hacker News thread about AI affordability points at the right problem, but developer teams need a more useful cost model: retries, cache misses, review time, routing, and failed loops.

GitHub's June Copilot updates point beyond autocomplete: CLI access, bring-your-own-key model routing, AI credit metrics, and external agent providers make Copilot a governed agent platform.

GLM-5.2 is an MIT-licensed open-weights coding model. Cheapest routes: OpenRouter hosts from about $0.36 per million input tokens, Z.ai's API, or self-host.

A company accidentally spent $500M on Claude in one month. Uber torched its whole 2026 AI budget by April. The fix is not less AI - it is guardrails. Here is the playbook: caps, alerts, gateway spend limits, model routing, prompt caching, and approval workflows.

Z.ai's GLM-5.2 lands as a 753B open-weights coding model that beats GPT-5.5 on SWE-bench Pro for roughly one-sixth the per-token cost. Here is the real cost math, a worked cost-per-task example, and a when-to-use-which decision guide.

A code-heavy field guide to model routing. Real, runnable-style configs for tiering tasks by complexity, routing simple work to open-weights, reserving frontier models for hard reasoning, building failover chains, and keeping prompt caches warm with OpenRouter, LiteLLM, and Factory Router.

Open weights are free to download, but inference is not free to run. Here is the honest break-even math on when self-hosting GLM-5.2, DeepSeek V4, or Llama beats paying per-token API prices - GPU rental and ownership costs, real throughput, utilization, the crossover in tokens per month, and the hidden ops bill nobody budgets for.

Uber burned through its entire 2026 AI tools budget by April. Microsoft is canceling Claude Code licenses company-wide. What enterprise teams can learn from the first major AI coding tool budget crises.

Claude Code fast mode pricing explained: $10/$50 per MTok on Opus 4.8, the first-enable context charge, separate rate limit pools, and when 2.5x speed pays off.

Same-day-verified llm api pricing september 2026: Claude Fable 5.1 and Opus 5.5, GPT-6 Astra/Sol/Luna, Grok 4.7, Claude Sonnet 5, and DeepSeek V4.1-Flash compared per million tokens, plus the caveats that change the math.

A verified directory of the frontier AI models in July 2026 - Claude Fable 5, Opus 5, GPT-5.6 Sol/Terra/Luna, Sonnet 5, Gemini 3.1 Pro, Kimi K3, and DeepSeek V4 - with pricing checked against official docs.

Claude Code parallel agents cost real money because every session draws from one quota - here is the July 2026 budgeting math, verified against live pricing.

Anthropic's model names: Haiku, Sonnet, Opus, then Fable and Mythos. What each tier means, the current model IDs and prices, and which one to pick.

Fable 5's two-week free window on Pro, Max, Team, and Enterprise plans closed June 22. Here's what changed, what the credit system actually costs, and how to think about the model now that the deadline is history.

Fable 5 lists at $10/$50 per million tokens - twice Opus 4.8. But list price is the wrong number. Here is the cost-per-outcome math that actually decides whether the upgrade pays.

Pick Claude Code for ambiguous, multi-file work you want to plan, extend with skills and MCP, and orchestrate across agents. Pick Codex for well-scoped tasks, strong defaults, and one ChatGPT subscription for chat and code. GPT-6, Opus 5.5, and pricing verified September 28, 2026.

GitHub Copilot switched to AI Credits billing on June 1 - here is what the change means for your team's budget, how Copilot Max fits in, and how costs compare to Claude Code and Codex.

A practical comparison of LLM routing tools - LiteLLM, Portkey, and OpenRouter - covering cost management, fallbacks, caching, and when to use each for production AI applications.

If I were rebuilding my AI coding workflow on May 30, 2026, I would not pick one magic tool. I would pick a layered stack: terminal agent, editor, background agent, Mastra, CopilotKit, MCP, context, security, and cost controls.

The models.dev project is trending because AI teams need one boring source of truth for model specs, pricing, context windows, modalities, and tool support.

DD shipped six paid products in a single day. The thesis is simple: agent infra for small teams. $20 a month each, $50 for the bundle. Here's what we shipped, what's alpha, and what's still being wired.

A practical breakdown of GitHub Copilot Pro and Pro+ in 2026, focused on premium request economics, the June 2026 move to AI Credits, and how to avoid request-burn surprises.

AI coding tools pricing, verified September 28, 2026: Claude Code, Codex, Cursor (including Composer 2.5), GitHub Copilot, Google Antigravity, Claude Cowork, Windsurf, and more. Free tiers, pro plans, hidden costs, and what you actually get for your money.

Google Antigravity is now a family: the Antigravity IDE, the agent-first Antigravity 2.0 desktop app, the agy CLI, IDE extensions, and a Python SDK. It is free with a weekly limit, with more quota on Google AI Pro ($19.99/mo) and Ultra. Here is what each piece does, what it costs, and how the limits work.
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