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Google publishes 0.24 Wh per prompt. Mistral publishes 1.14 gCO2e. Both are honest, neither is comparable, and the number that actually moves your footprint is the one nobody publishes: how many model calls it takes you to finish one piece of work.

Mistral's 3B open-weights safety classifier ties the 20B leader on its own text-safety chart and runs on one 16GB GPU. What it does not give you is a reason, or a hosted endpoint.

Muse Code has no spend cap, and most tools that do give you one will not contain the agent. I compared nine alternatives on the dials that actually decide the switch.

SeedRealtime is ByteDance's audio-visual full-duplex model. Here is what it does, what ByteDance published, and what you can actually call today.

A hands-on read of Meta's terminal coding agent. The isolation and the audit log are the best parts, and every benchmark gain Meta showed was measured inside Meta's own harness.

Nothing on the Artificial Analysis board beats Muse Spark 1.2 for less money. So the real reason to leave is the weights Meta promised and has not shipped.

Meta Muse Code has no price, no plan, and no spend cap. Here is the real rate card, the three defaults that set your bill, and how to bring it down.

The full OpenAI API pricing card for 2026, plus the four multipliers that really set your invoice: the 272K cliff, cache writes, service tier and reasoning.

Meta Muse Spark 1.2 pricing is identical to 1.1, yet costs 37% more per task. Here is the full rate card, both tiers, and where the extra money actually goes.