Topic
Pricing models providers use for LLM API access, including per-token rates, cached-input discounts, and peak/off-peak fee schedules.
Habr user donseo's test of 11 tokenizers found Claude Opus 5 turns Russian into 2.96 times the tokens of the same English text. Anthropic bills $5 per million input tokens in either language, so Russian on Opus 5 costs nearly three times as much to send.
Reality
Google will give vetted defenders and its own teams a Gemini 4 Argon build with no cyber guardrails, saying the model finds and patches critical flaws unaided. Wiz is the first named outside user, and the bug-finding evidence published so far comes from Google's own internal tests.
Perspective Coverage
9 publishersReality
OpenAI priced GPT-6.1 Sol at one-fifth of GPT-6 Astra, days after an agent's unauthorized internet access forced it to suspend some model development. Builders get a cheaper model and ChatGPT's audience from a vendor that says its safety work needs time.
Perspective Coverage
17 publishersReality
Anthropic released Sonnet 5.5 at $2 and $10 per million input and output tokens, half the Opus 5.5 rate. How much a buyer saves by moving work down a tier depends on tokens burned per task and on cache reads priced identically on both models.
Perspective Coverage
5 publishersReality
Claude 4.7 emits about 30 percent more tokens for the same text and GPT-6 bills roughly double above 272K input tokens, a dev.to digest reports. Budget checks built on old token counts now undercount, so prompt size needs a hard cap enforced in code.
Reality
Google's Gemini 4 Argon matches GPT-6.1 Sol's $2/$10 token price but costs 2.7 times as much per task, according to Artificial Analysis. Argon uses more tokens per job, so buyers still have to compare frontier models by cost per completed task.
Perspective Coverage
4 publishersReality
Google prices Gemini 3.8 Flash at $0.75/$3.75 per million input/output tokens through 2026, three-eighths of what partner-only Gemini 4 Argon costs. Building on Flash now works if the later Argon swap moves the thinking settings along with the model name.
Reality
OpenAI says GPT-6.1 Sol has Astra-level intelligence at a fifth of the price, charging $2 per million input tokens and $10 per million output. That saving reaches the API workloads teams build themselves, while the Dots agents launched with it run on Astra inside seat plans that got dearer.
Perspective Coverage
4 publishersReality
OpenAI's GPT-6.1 Sol halves old Sol's cache-read rate to $0.10 per million tokens and requires the Responses API for tool calls. In one worked example the cut saves about 10%, and older agents only get that saving after their tool and reasoning fields are rewritten.
Reality
OpenAI's GPT-6.1 Sol halves cached-input pricing to $0.10 per million tokens and leaves standard rates at $2 and $10. Agents that resend long context collect the saving, while other buyers weigh gains shown mostly in OpenAI's own tests.
Reality
Anthropic says Sonnet 5.5 nearly ties Opus 5.5, 1,844 to 1,846, on an everyday-work benchmark while running more than 30% faster than Sonnet 5. For teams paying double per token for Opus, Sonnet becomes the sensible default, with Opus kept for long, ambiguous jobs.
Perspective Coverage
11 publishersReality
Meta grouped Muse API, Muse Code and Business Agent into a new enterprise platform whose Muse Spark model costs developers $1.25 per million input tokens. The endpoint is ready to test today, while the enterprise package still has no published price or delivery date.
Perspective Coverage
8 publishersReality
Opus 5.5 matched Opus 5 on two reasoning puzzles in The New Stack's tests at 43 to 69 percent lower cost. Both ran at default effort, medium on the new model and high on the old, so the saving a team sees depends on the effort level it pins.
Perspective Coverage
17 publishersReality
Mistral AI raised 3 billion euros in a Series D led by Samsung Electronics, at a post-money valuation above 21 billion euros. Buyers who choose it for data residency get a label that covers where models run, on an API priced at 11 to 19 times the open-model median.
Reality
Google's Gemini 3.8 Flash ties Claude Opus 5 at 74% on DeepSWE for $2.36 a task, at an introductory price that doubles on January 1, 2027. For agent workloads, the comparison that holds up after January is cost per finished task, set by steps taken as much as by rate.
Reality
OpenAI priced GPT-6 Sol at $2/$10 and Luna at $0.10/$0.50 per million tokens on September 22, half its GPT-5.6 promotional rates. Moving a job from Sol to Luna cuts its token rate by 95%, a bigger saving than the halving for any team whose work Luna can handle.
Reality
OpenAI has cut input prices on its Luna models from $1.00 to $0.10 per million tokens since July 30, over two rounds of reductions. Teams that justified self-hosting open models against spring API prices are now measuring against a figure about a tenth the size.
Reality
Harness v0.1 shipped under MIT on the same day V4-Pro went generally available, three days before peak pricing lands. The lock-in it targets is the runtime, not the weights.
Perspective Coverage
4 publishersReality
Every off-peak rate sits above the old flat price, and Pro cache hits jumped roughly 6x. Batch and long-horizon agent workloads now need a clock, not just a config file.
Reality
The July 30 cuts move the argument from model access to per-step token cost. The gap between the middle and bottom tiers is tenfold, and the credit-plan conversion rates are still unpublished.
Reality
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