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Topic

LLM Inference Pricing

Token pricing mechanics, promotional rates and scheduled resets that determine what model usage actually costs.

Current stories

build1 publisher

Grok 4.7 doubles cost per task at an unchanged per-token price

Grok 4.7 keeps Grok 4.6's $2/$6 token price yet costs $3.74 per task against $1.86, by Artificial Analysis' measurement. Teams that budget from the price sheet will undercount agent spend until they measure tokens per task on their own work.

Publishers:dev.to

Reality

Evidence58
Adoption
Insufficient
Hype gap+45
Incentives55
Confidence55
build3 publishers

Kimi K3 on its cheapest host undercuts Fireworks' Ember-1 despite a 23% cut in reasoning tokens

Fireworks' Ember-1 used 23% fewer reasoning tokens than Kimi K3 in The New Stack's tests, yet Kimi on the cheapest host would cost $1.96 to Ember's $2.48. Ember beats Fireworks' own Kimi rate and loses at the cheapest, so buyers have to price the host before the model.

Perspective Coverage

3 publishers
Builder
Builder 52%
Operator
Operator 30%
Investor
Investor 18%

Reality

Evidence55
Adoption30
Hype gap+25
Incentives70
Confidence58
build14 publishers

Jev turns a catalogue ID from a prompt constraint into part of the decision domain

TypeSafe's Jev answers typed questions with floats and probabilities. An invoice pipeline that handed it classification and catalogue selection still needs a generative model for field extraction and for the note a human reads.

Perspective Coverage

14 publishers
Builder
Builder 53%
Operator
Operator 31%
Investor
Investor 16%

Reality

Evidence55
Adoption40
Hype gap+30
Incentives65
Confidence55
product1 publisher

Fireworks' own DeepSWE numbers put four coding models inside the noise band

The vendor selling the cheapest model in the comparison reports a 0.7-point quality spread across four frontier models against run-to-run variation of 1.4 to 3.2 points. That leaves price per task, $0.43 against an implied $6.45 for GPT-6 Astra.

Publishers:fireworks.ai

Reality

Evidence42
Adoption18
Hype gap+28
Incentives88
Confidence58
build1 publisher

Codex runs on DeepSeek once you declare what DeepSeek can do

A dev.to walkthrough moves Codex onto DeepSeek's API using two local config files. Codex accepts the capability figures you write into them, and the cost case in the post compares one metered API against another.

Publishers:dev.to

Reality

Evidence34
Adoption8
Hype gap+45
Incentives30
Confidence30