FuturMix.ai

Multi-model AI API relay. 25+ models · OpenAI-compatible API · discounted model access. Ship faster with Claude, GPT, and Gemini.

[FuturMix.ai @futurmix]

@S1TA10 Good breakdown. For teams running direct API workloads, there's also an infrastructure angle - a relay offering competitive rates vs direct pricing.

We built https://t.co/6yGMHNHksV for this - 25+ models, OpenAI-compatible.

(disclosure: I work on FuturMix)

[FuturMix.ai @futurmix]

@Zac_labs The volume/cost split tells the real story - frontier Claude dominates spend.

For that traffic, small rate improvements compound. We run a relay at https://t.co/6yGMHNHksV - competitive rates on Claude/GPT/Gemini, one OpenAI-compatible endpoint.

(disclosure: I work on FuturMix)

[FuturMix.ai @futurmix]

@avrldotdev The subsidy removal is real pain for teams with heavy API workloads.

One approach: a relay offering competitive rates vs direct pricing - 25+ models behind one OpenAI-compatible endpoint.

We're building this at https://t.co/6yGMHNHksV.

(disclosure: I work on FuturMix)

[FuturMix.ai @futurmix]

@S1TA10 Context caching and compact prompts are solid moves.

For teams running direct API workloads (outside the IDE subscription), a relay endpoint can also cut per-token cost. We built one at https://t.co/6yGMHNHksV — 25+ models, OpenAI-compatible.

(disclosure: I work on FuturMix)

[FuturMix.ai @futurmix]

@S1TA10 Good breakdown. These are all sm art client-side optimizations.(disclosure: I work on FuturMix

[FuturMix.ai @futurmix]

@nicrypto "Good enough" commoditisation is spot on. For batch/classification, cheaper models already win. Model-agnostic API layers matter — swap models per task without rewriting code. We run https://t.co/6yGMHNHksV, 25+ models, competitive rates. (disclosure: our project)

[FuturMix.ai @futurmix]

@Anas_founder Depends on workload. Claude for long-context reasoning, GPT for tool-use breadth, Gemini for multimodal + price.

Most teams use 2-3. A relay lets you switch models without rewriting code — we run one at https://t.co/6yGMHNHksV with 25+ models.

(disclosure: I work on this)

[FuturMix.ai @futurmix]

@ZypherHQ Session context replay is a real cost trap -- each resume re-reads full history against your limit.

If you use the API directly, a relay can cut per-token cost. We run https://t.co/6yGMHNHksV -- 25+ models, OpenAI-compatible.

(disclosure: I work on FuturMix)

[FuturMix.ai @futurmix]

@LinQingV Smart move on model routing. For workloads that still need Claude: per-token rates can be cut through an API relay with volume pricing. We run FuturMix - 25+ models, 10% below listed Claude rates, 30% off on select Chinese open-weight models. One base_url.

[FuturMix.ai @futurmix]

@Nekt_0 Reducing token waste is one side. The other: lower per-token cost. An API relay with discounted rates means even the tokens you do send cost less. Both levers compound. We built FuturMix for the pricing side - 25+ models, 10% below listed Claude rates.

[FuturMix.ai @futurmix]

@ay_ushr The cost gap narrows if you route Cursor through a multi-model endpoint with discounted rates. Keep Claude for complex tasks, use cheaper models for routine ones. We run FuturMix: 25+ models, 10% off Claude pricing, OpenAI-compatible. One env var change in Cursor.

[FuturMix.ai @futurmix]

@Shaughnessy119 @zerohedge The per-token cost adds up fast at scale. One lever: route through an OpenAI-compatible relay that offers lower listed rates on the same models. We built FuturMix for this - 25+ models including Claude, 10% below listed pricing. Same API format, one base_url change.

[FuturMix.ai @futurmix]

AI model companies are getting bigger. For developers, API cost control still matters.

FuturMix gives one OpenAI-compatible endpoint for 25+ models, with up to 30% lower listed prices on selected models.

https://t.co/6yGMHNHksV

[FuturMix.ai @futurmix]

@smhanov $33 is reasonable if you're getting value from it. Some teams are hitting $500-2K/month on Claude Code alone.

One way to keep it low: route cheaper tasks to Flash or Haiku instead of always defaulting to Opus/Sonnet. That alone can cut 30-50%.

[FuturMix.ai @futurmix]

@shaun_on_x 200 credits on one prompt is brutal. The token model punishes you for defaulting to the most capable model.

Workaround: route simple tasks to cheaper models (Flash, Haiku), save Opus for complex logic.

https://t.co/6yGMHNHksV — 25+ models, one API key.

[FuturMix.ai @futurmix]

GitHub Copilot tokens gone in 3 days.
Claude Code hitting $2K/person/month.

The fix? Route to the right model for each task.

Simple code? Flash. Complex logic? Opus.
One API key, 25+ models.

https://t.co/6yGMHNHksV

[FuturMix.ai @futurmix]

Claude Code billing changes June 15: Agent SDK usage moves to API-rate billing.

Hitting limits? Route through an API relay for up to 30% off.

https://t.co/6yGMHNHksV

#ClaudeCode #AI #DevTools

[FuturMix.ai @futurmix]

@Bhavani_00007 Per-seat costs add up fast at scale. For teams using Claude via API: an OpenAI-compatible relay with lower per-token rates is one option. We built FuturMix for this - 25+ models, 10% below listed Claude pricing. Not a fix for seat licenses, but helps on the API side.

[FuturMix.ai @futurmix]

@sirindel Local models are a smart option when they fit. For workloads that still need hosted Claude or GPT — an API relay with discounted rates is one lever. We run FuturMix: 25+ models, 10% off Claude pricing, OpenAI-compatible format. Both approaches cut costs, different trade-offs.

[FuturMix.ai @futurmix]

You don't need 3 separate API keys for Claude, GPT, and Gemini.

One key. 25+ models. 43-second setup in Chatbox.

https://t.co/6yGMHNHksV