LLMFly AI

GPT, Claude, Gemini & more — behind one API. 👉 comparisons, API pricing & practical guides for AI developers.

[LLMFly AI @LLMFlyAI]

6 million tokens a day is table stakes now.

You there yet?

https://t.co/2aXVYCNed3

#CodingAgents #AIAgents #LLM

[LLMFly AI @LLMFlyAI]

$1,000 now buys ~4 hours of a human expert—or ~65 hours of AI agent runtime.

The new production budget is tokens. And it’s getting weird.

https://t.co/SFuJsVZT7t

#AIAgents #BuildInPublic

[LLMFly AI @LLMFlyAI]

Ideas are cheap. Iteration costs tokens.

Token budget is production budget.

https://t.co/vyiAIi18xx

#AIAgents #LLMAPI

[LLMFly AI @LLMFlyAI]

6/6

There’s an interesting cost layer underneath all of this.

What are all those tokens actually costing, and does every step need the same frontier model?

More on the projects, models and token economics here ↓

https://t.co/6WmNMEgP9O

[LLMFly AI @LLMFlyAI]

6/6

There’s an interesting cost layer underneath all of this.

What are all those tokens actually costing, and does every step need the same frontier model?

More on the projects, models and token economics here ↓

https://t.co/6WmNMEgP9O

[LLMFly AI @LLMFlyAI]

1/6

Where are all the tokens going lately?

Apparently, quite a few of them are going into games, 3D worlds, simulations and interactive experiences.

A small roundup of what people have been building with Claude, GPT and coding agents lately 🧵↓

[LLMFly AI @LLMFlyAI]

5/6

@thebuggeddev built Anatomy Atelier using coding models and generated 3D assets.

@chetaslua built The Neural Museum, turning AI papers into a walkable museum.

@ChrisGPT built Ironveil Range, a playable ballistic-missile-defense simulator.

[LLMFly AI @LLMFlyAI]

Running GPT-6 Astra Max on every agent task isn’t a routing strategy. It’s a billing event.

Let GPT-6 Luna do the boring, verifiable work. GPT-6.1 Sol is a sane default. Astra should earn its keep when failure costs more than inference.

We did the math:
https://t.co/NCiqqRSSe6

[LLMFly AI @LLMFlyAI]

@cupseycode exactly. one API helps, but auth + MCP config drift between tools is still the annoying bit.
we’re trying to make that setup as painless as possible on the LLMFly side.

[LLMFly AI @LLMFlyAI]

Magpie is pretty neat: one local setup for Codex, Claude Code, OpenCode and Gemini CLI.

We got it working with LLMFly AI and wrote down the exact config (plus the annoying bits):

https://t.co/4MYWkO5Rx2

#ClaudeCode #Codex

[LLMFly AI @LLMFlyAI]

Looking for a PackyCode alternative?

LLMFly gives you easy access to GPT, Claude, Gemini & Grok, with support for Claude Code, Codex, Cursor and more.

Full comparison ↓
https://t.co/vBOEwqSyf0
#LLM #AIAPI #ClaudeCode #Codex

[LLMFly AI @LLMFlyAI]

Opus 5.5 looks like the obvious default now: cheaper than Opus 5, far cheaper than Fable 5, and faster on long coding tasks.

But changing the model ID is the easy part. Thinking, tool calls, streaming, caching, and total cost per accepted task still need testing.

Full comparison:
https://t.co/5zXA360St5

#Claude #AIAgents #AIEngineering

[LLMFly AI @LLMFlyAI]

numbers changed but the direction didn’t. the frontier model race is turning into a price war.

Argon is announced at $2/M input, $10/M output, with cached input 95% lower.

now give developers the API.

[Just_Lingonberry_352 @JustLingonberry]

Google just ruined OpenAI's dev day lmao

Gemini 4 Pro leaks absolutely dominates both Anthropic and OpenAI

This means Fable 5.5 and GPT 6.1 has to price match Gemini 4 Pro now IPO DELAYED 🤣

[LLMFly AI @LLMFlyAI]

Opus 5.5 upgrade breaking your tool calls?

A few gotchas worth checking before blaming the model:

• forced tool_choice can return 400
• old thinking configs need to go
• JSON output ≠ forcing a tool call
• content[0].text can break with thinking blocks

We put the common fixes + working examples in one place https://t.co/Uj6LJ31NT3

[LLMFly AI @LLMFlyAI]

using Magpie? you can now import your LLMFly setup in one click.

less time on config, more affordable models for your coding agents.

thanks @yetone for building Magpie 🫡

https://t.co/Asu8vjN3a8

[LLMFly AI @LLMFlyAI]

@abenz95 Exactly. Even on a cache miss, you’re still paying LLMFly’s discounted input rate. Cache hits just make the reusable prefix even cheaper.

Why not give it a try? https://t.co/Asu8vjN3a8

[LLMFly AI @LLMFlyAI]

Prompt caching is boring until the bill shows up.

Our 10-turn GPT-6 agent example:

Astra: $11.50 → $3.65
Sol: $2.30 → $0.73
Luna: $0.115 → $0.0365

Same workload, ~68% less. LLMFly AI cuts it further.

The math—and what kills your cache hits:
https://t.co/1kgN0BiYxf

#GPT6 #AIAgents #LLMAPI