AnyAPI.ai

Unified API for ANY AI model. Memory, RAG, Smart Routing, CLI, agents and MCP integrations out of the box.

[AnyAPI.ai @anyapi_ai]

we added 30 decision models to https://t.co/y968fBssSY this week:

baseten: elephant-1
baseten: joey-1
baseten: mammoth-1
cloudflare: clef
cloudflare: clef-flash
cloudflare: clef-omni
inception: mercury-decide
jaredpalmer: kev-4b
liquid: d1
liquid: d1-ultra
liquid: d1.1
microsoft: microsoft-decision-1
nace-ai: drex-max
nace-ai: drex-v1.5
nace-ai: drex-v2.0
openai: gpt-6-luna-decisions
perplexity: pplx-decider-flash-v1.2
perplexity: pplx-decider-v1.2
respan: span-01
respan: span-01-lite
respan: span-01-lite:free
respan: span-02
scaledown: classify-1
togethercomputer: tev1-4b-experimental
typesafe: jev-1.13
typesafe: jev-1.14
upstage: solar-decide
upstage: solar-decide-flash
typesafe: jev
convai: laya

[AnyAPI.ai @anyapi_ai]

@witcheer @NousResearch thanks! great product

[AnyAPI.ai @anyapi_ai]

https://t.co/2tF0MWGRFN is now a native provider in @NousResearch hermes agent.

no core patches, no proxy wrapper. one plugin registers a provider profile and it shows up in the model picker next to the built-ins

hermes plugins install anyapi

[AnyAPI.ai @anyapi_ai]

Fresh models just landed on AnyAPI

openai: gpt-6.1-sol
openai: gpt-6.1-sol-pro

[AnyAPI.ai @anyapi_ai]

@MistralAI this

[AnyAPI.ai @anyapi_ai]

wow!

[Google DeepMind @GoogleDeepMind]

Introducing Gemini 4 Argon – our new frontier model.

It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.

[AnyAPI.ai @anyapi_ai]

@Nightshadessx it did good on this html generation tbh

[AnyAPI.ai @anyapi_ai]

GPT-6 Sol beats Claude Opus 5.5 - 5x cheaper and the difference isn't even close

the test: infinite zoom into the Mandelbrot set as a single self-contained HTML file - WebGL shader, multi-precision math, seamless loop

cost : GPT-6 Sol: $0.07
Claude Opus 5.5: $0.35

what we saw:
• Opus burned 2.7x the tokens (17.6k vs 6.6k, most of it reasoning noise)
• Sol's zoom actually zooms: deep exponential dive into Seahorse Valley with plasma filaments, bloom, and a perfectly seamless 6-sec loop
• Opus 5.5 whole frame slowly rotates around a murky blob while the zoom crawls 6x slower - hypnotic in the worst way
• Sol's code: 2× more output per token, denser, runs smoother

verdict: Claude thinks longer. GPT delivers better.

[AnyAPI.ai @anyapi_ai]

@Nightshadessx its 2x cheaper than 5.6 sol

[AnyAPI.ai @anyapi_ai]

Fresh models just landed on https://t.co/2tF0MWGRFN

Google : Gemini 3.8 Flash
Anthropic : Claude Fable 5.1
OpenAI : GPT-6 Astra
DeepSeek : DeepSeek v4.1 Flash
Z .ai : GLM 5.3 & GLM 5.3 Flash
Meta : Muse Spark 1.3

[AnyAPI.ai @anyapi_ai]

@OpenBMB @AtriaASI what benchmarks is this beating on long-horizon tasks? swe-bench? gaia?

[AnyAPI.ai @anyapi_ai]

@TalSaiag anyapi fixes this

[Sam Altman @sama]

I agree with Dario that we need to pace the frontier. This has been a primary topic of discussions we've had at OpenAI in recent weeks.

Committing to having independent evaluators with employee-like access is a great idea, and we will do the same. We'll have more to share soon.

[AnyAPI.ai @anyapi_ai]

@Kristina_Tech agreed. 24,346 tokens of pure thinking about gear ratios. money well spent.

[AnyAPI.ai @anyapi_ai]

Fable 5.1 charges 40× more than Gemini 3.8 Flash for the same task.

we threw both, plus GPT-5.6 Sol, at a working V12 engine and a
mechanical chronograph in three.js. same prompts, one shot, no retries.

the bill:
watch: Fable 5.1 $2.14 · Sol $0.08 · Gemini 3.8 Flash $0.05
engine: Fable 5.1 $1.30 · Sol $0.10 · Gemini $0.04

and here's the thing: fable's watch is genuinely the best one. the
escape wheel ticks in discrete steps. the hairspring breathes at 4Hz.
341 parts under a sapphire caseback. 24,346 tokens of pure gear-ratio
thinking went into it, and it shows.

Gemini nails museum framing in 75 seconds flat, then paints the whole
movement one shade of grey. Sol's take is clean and stylized, which
means the truth: it's a facade with hands.

plot twist: fable's 40× engine ships a real bug. idle RPM dips below
zero and the whole frame goes black. the watch is a masterpiece. the
engine, not so much.

so the real answer is ugly: 40× the price buys you the physics under
the dial. sometimes. which one are you picking?

[AnyAPI.ai @anyapi_ai]

@promptacisi @threejs tomorrow

[AnyAPI.ai @anyapi_ai]

GPT-5.6 SOL vs Claude Fable 5 vs Kimi k3 – 3d rubik's cube in @threejs

the setup: one prompt in, one html file out. streamed straight through AnyAPI, no agent loop, no tools, no filesystem, just a single standalone response per model

models: gpt 5.6 sol , claude fable 5 , kimi k3
prompt: a fully functional 3D Rubik’s Cube simulation in one HTML file, using Three.js via CDN, with automatic self-solving

results:

gpt 5.6 sol – 1.36s, 8,612 total tokens, $1.53, 825 lines
claude fable 5 – 1.26s, 10,725 total tokens, $3.16, 465 lines
kimi k3 – 302.99s, 36,565 total tokens, $3.27, 733 lines

observations:
• sol and fable both returned almost instantly; kimi took 303s on the same task

• fable shipped the shortest file at 465 lines, while sol shipped the largest valid file at 825

• kimi used 4.2x the total tokens of sol and still landed in roughly the same price band as fable

[AnyAPI.ai @anyapi_ai]

@Shwepsik21 @threejs all medium btw

[AnyAPI.ai @anyapi_ai]

@Shwepsik21 @threejs You're right on the tok/s point.

Those 1.26s / 1.36s numbers are gateway wall-clock timings

[AnyAPI.ai @anyapi_ai]

@ajs6888 @threejs gonna compare the 60fps smoothness on all three to see who built the cleanest cube