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Pricing briefing
TTogether
Together
PRICE DECREASE

Together cuts Qwen3.8 inference pricing, adds GLM-5.3 to serverless lineup

By , Co-founder, PricingSaaS

Published

Together’s pricing page · Change detected

What changed

Together AI cut serverless inference pricing for Qwen3.8-2.4T-A95B: input tokens fell from $2.50 to $2.00 per 1M (a 20% cut), output from $6.25 to $6.00 per 1M (4%), and cached input from $0.50 to $0.25 per 1M (50%). Together also added GLM-5.3 to its serverless catalog, priced at $1.40 input / $4.40 output / $0.26 cached input per 1M tokens.

Why it matters

As open-weight releases accelerate, neutral inference platforms face margin pressure from both directions — model labs shipping cheaper, better weights, and hyperscalers undercutting on raw compute. Watch whether cached-input pricing keeps compressing faster than input/output pricing across serverless inference providers generally — that would confirm agentic and long-context workloads, not raw token volume, are becoming the real pricing battleground.

In context

The sharpest number here is the 50% cut to cached-input pricing, not the smaller trims to input/output. Cache pricing is the lever inference platforms use to compete for repeat-context workloads — agents, long chat histories, RAG — without touching headline rates that get quoted in comparisons. Pairing a price cut on an existing model with a same-day new-model launch also shows Together competing on portfolio breadth: keep customers inside the serverless catalog by constantly refreshing which model offers the best price per token, rather than defending any single model's price point.

What people are saying

@SonnyKhxnX

“wow! such remarkable savings. very cool!”

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@RonfortMartinX

“Models matching Fable 5 capability at a fraction of the cost is genuinely shifting the economics. We actually dug into the performance:”

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@quinn_lengX

“The standard defense of premium models is that cheap ones need more attempts. Together AI ran 904 DeepSWE rollouts on GLM-5.3 and Claude Fable 5. Tied on the first try. Then the open model pulls ahead on every retry: 87.6% at four attempts against 84.1%, for $15.96 against $86.52. An open model with the higher ceiling, not just the lower price. Retries were supposed to be what you paid to avoid.”

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