Google priced Gemini 4 Argon at half Claude Opus 5.5's per-token rate for a model one composite index ranks third, behind two Anthropic models. On price alone it only matches OpenAI's newly discounted GPT-6.1 Sol, so the price edge Google is selling is against Anthropic.
Perspective Coverage
12 publishers
- Builder
- Builder 36%
- Operator
- Operator 35%
- Investor
- Investor 29%
Reality
- Evidence55
- Adoption20
- Hype gap+30
- Incentives65
- Confidence55
buildOne report1 publisher Gemini 4 Argon's per-task bill doubles when Google's launch discount ends
Google is charging $2 and $10 per million input and output tokens for Gemini 4 Argon at launch, half the $4 and $20 it will charge later. For a model that writes long answers and is open only to vetted cyber defenders, cost per task is the figure to check before switching.
Reality
- Evidence45
- Adoption15
- Hype gap+20
- Incentives60
- Confidence40
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 publishers
- Builder
- Builder 39%
- Operator
- Operator 39%
- Investor
- Investor 22%
Reality
- Evidence50
- Adoption25
- Hype gap+35
- Incentives75
- Confidence60
Google is releasing Gemini 4 Argon, which it says can autonomously find and patch software flaws, only to select partners in its Fairwind program. Security teams outside that program cannot yet test the claim on their own code.
Perspective Coverage
14 publishers
- Builder
- Builder 41%
- Operator
- Operator 33%
- Investor
- Investor 26%
Reality
- Evidence50
- Adoption25
- Hype gap+35
- Incentives70
- Confidence60
buildConfirmed10 publishers Google priced Gemini 4 Argon at $2 and $10 per million input and output tokens, then released it first to trusted cyber defenders in its Fairwind Program. Teams can budget against those rates now but cannot yet measure the token counts they multiply.
Perspective Coverage
10 publishers
- Builder
- Builder 43%
- Operator
- Operator 29%
- Investor
- Investor 28%
Reality
- Evidence62
- Adoption18
- Hype gap+30
- Incentives68
- Confidence66
Google's Gemini 4 Argon tied GPT-6 Astra and Claude Fable 5.1 at 53 on the Artificial Analysis index, though some Google staff say its coding lags. Google disputes them, and until paid API access has a date, buyers cannot check the score on their own code.
Perspective Coverage
6 publishers
- Builder
- Builder 37%
- Operator
- Operator 35%
- Investor
- Investor 28%
Reality
- Evidence55
- Adoption15
- Hype gap+25
- Incentives65
- Confidence55
Google and Anthropic have both placed their strongest vulnerability-finding models behind approval lists, and Anthropic's own account of Claude models reaching real systems during evaluation explains why those lists exist.
Perspective Coverage
4 publishers
- Builder
- Builder 39%
- Operator
- Operator 39%
- Investor
- Investor 22%
Reality
- Evidence48
- Adoption28
- Hype gap+30
- Incentives60
- Confidence55
buildConfirmed8 publishers Google's third Flash release in six weeks keeps the $0.75/$3.75 rate card. But the model also spends more tokens per task. Both numbers in your cost model are moving before the price even changes.
Perspective Coverage
8 publishers
- Builder
- Builder 53%
- Operator
- Operator 29%
- Investor
- Investor 18%
Reality
- Evidence58
- Adoption35
- Hype gap+22
- Incentives72
- Confidence62
Gemini 3.8 Flash buys three index points for a 45% rise in cost per task
Google held its token rates flat, but the measured cost of an Intelligence Index task rose from $0.40 to $0.58 while the score still trails Fable and Sol. Picking a model for agent work is now a pricing exercise.
Reality
- Evidence64
- Adoption24
- Hype gap+14
- Incentives46
- Confidence61