Jev list-price calculator
TypeSafe’s models page lists jev-1.13.0 and jev-1.14.0 at $0.042 per million input tokens, with output free. The form below multiplies that published rate by the token counts you enter. It is list-price math, not an invoice.
Compiled by jevmodel.ai. List prices from the cited pages. This form does not call the API and does not read a bill. Official keys: console.typesafe.ai.
Calculator
Published list prices cited here
| Product | Input / million tokens | Output / million tokens | Cited page |
|---|---|---|---|
| Jev 1.13.0 and 1.14.0 | $0.042 | free | TypeSafe models page, accessed 26 October 2026 |
| Gemini 3.1 Flash Lite | $0.25 | $1.50 | TypeSafe Jack & Jill case study, 12 October 2026 |
| Gemini 3 Flash Preview | $0.50 | $3.00 | EosHQ article, including thinking, 28 September 2026 |
| Muse Wonder 1.0 | $4.00 | $20.00 | Meta model page, accessed 15 October 2026 |
Sources:[34] TypeSafe AI[137] TypeSafe AI[101] EosHQ[160] Meta
TypeSafe’s published Jev rate
The models page, accessed 26 October 2026, lists jev-1.14.0 and jev-1.13.0 at $42 per billion, which is $0.042 per million input tokens, with output free. Both jev-latest and jev-preview point at jev-1.14.0. Default context is 64k tokens per request and 32k per question.
The 15 September 2026 launch post uses the same input rate and describes a 70-500ms response time from request to answer. That latency range is TypeSafe’s figure. This site has not rerun it. On 20 September TypeSafe said every new account starts with $5 in credit, described as about 120 million tokens.
Sources:[34] TypeSafe AI[25] Diogo Almeida (TypeSafe AI)[27] TypeSafe AI
Other list prices cited on this site
TypeSafe’s Jack & Jill case study prints Gemini 3.1 Flash Lite at $0.25 input and $1.50 output per million tokens, next to Jev at $0.042 input with output free. EosHQ’s 28 September 2026 article uses Gemini 3 Flash Preview at $0.50 input and $3 output per million tokens, including thinking. Meta’s Muse Wonder page lists muse-wonder-1.0 at $4 input and $20 output per million tokens.
Those rates belong to the cited pages and dates. They are not a live price sheet, and they are not comparable across tasks. The calculator’s optional Gemini 3.1 Flash Lite column uses only the Jack & Jill list prices.
Sources:[137] TypeSafe AI[101] EosHQ[160] Meta[34] TypeSafe AI
What this page does not do
The form does not call the API. It does not read your bill. It does not apply cached-input discounts, retries, or minimums. Output tokens add nothing on Jev at the published rate, and they do add cost on the Gemini 3.1 Flash Lite list prices from the Jack & Jill page.
Author-reported run costs on the benchmark page use each author’s token counts and price file. Those tables stay separate from this calculator.
Questions about Jev list prices
How much does Jev cost?
TypeSafe’s models page, accessed 26 October 2026, lists jev-1.13.0 and jev-1.14.0 at $0.042 per million input tokens, with output free. The calculator multiplies that rate by the token counts you enter.
Sources:[34] TypeSafe AI
Does Jev charge for output tokens?
No. The models page lists output as free for jev-1.13.0 and jev-1.14.0. Input is $0.042 per million tokens.
Sources:[34] TypeSafe AI
What does the $5 starter credit cover?
On 20 September 2026 TypeSafe said every account starts with $5 in credit, described as about 120 million tokens. At $0.042 per million input tokens, $5 is about 119 million input tokens. The token equivalent is TypeSafe’s figure.
Sources:[27] TypeSafe AI[34] TypeSafe AI
Is this calculator an invoice?
No. It multiplies TypeSafe’s published $0.042 input rate by the counts you type. It does not call the API and does not read a bill. Official keys are issued at console.typesafe.ai.
Sources:[34] TypeSafe AI[26] TypeSafe AI
Sources and reading notes
The summaries below are paraphrases. Each link opens the original source, including its surrounding context.
TypeSafe AI
Source checked:
[34] Jev 1.14 and 1.13 model card: price, context and aliases
The models page lists jev-1.14.0 and jev-1.13.0 at $42 per billion / $0.042 per million input tokens, with output free. Default context is 64k tokens per request and 32k per question. The table lists Input as Text for both. Jev 1.14 is dated as available from 14 October 2026. Both jev-latest and jev-preview point at jev-1.14.0. A warning on the page says there is no preview build. jev-1.13.0 stays available as a versioned id.
Canonical model card as accessed 26 October 2026. On 15 October 2026 the same page pointed jev-latest at jev-1.13.0 and jev-preview at jev-1.14.0. Audio and video are excluded here; convert those to text or structured fields first. Image files and 262k context are documented under danger-zone headers on this page and on the Images page. Rate limits are per organization in the developer console.
Diogo Almeida (TypeSafe AI) (@typesafeai)
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Source checked:
[25] Introducing System One models and Jev
The launch post describes Jev as a function-call style model: unstructured state in, typed probabilistic decisions out. It lists input tokens at $0.042 per million ($42 per billion), free output tokens, and a 70-500ms response time from request to answer.
Provider announcement covering System One models, RLCD, parallel sampling, and workflow-eval claims of 193.6× faster and 444.6× cheaper versus an LLM baseline. The figures come from TypeSafe’s evals. This site has not rerun them.
TypeSafe AI (@typesafeai)
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[27] Starter credit for new TypeSafe accounts
TypeSafe stated that all users start with $5 in credit, described as about 120 million tokens.
Posted alongside the no-waitlist announcement. At the listed $0.042 per million input tokens, that credit covers a large volume of Choice, Score and Noul calls. The token equivalent is the author’s figure.
TypeSafe AI
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[137] Jack & Jill candidate screen, TypeSafe case study
TypeSafe writes that Jack & Jill replaced Gemini 3.1 Flash Lite on the initial scoring stage of a candidate-matching pipeline. An offline test on 150 live roles kept 94.6% of hiring-manager winners on Jev’s shortlist against 93.9% for Gemini. Cost per 1,000 candidates is $0.092 against $0.755. Median time to screen all candidates for a role is 10.3 seconds against 20.3.
Case study dated 12 October 2026. The quality test used every past winner plus a sample of the remaining candidates, weighted to represent the original 6,000 retrieved for each role. The 0.7 point gap has a 90% confidence interval of −0.4 to +1.8, which TypeSafe calls not statistically significant. AUC is 0.933 against 0.924. List prices in the table are Gemini $0.25 input and $1.50 output per million tokens, and Jev $0.042 input with output free. $265,000 is current-volume savings; $500,000 is a projection that includes expected growth. Extra workflows, including a 3.6 second to 0.2 second profile check, sit outside those figures. The page names no Jev version and links no public log.
EosHQ
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[101] EosHQ decision timings against Gemini 3 Flash Preview
The article reports a Jev path, including Gemini 3 Flash Preview fallbacks, at 1,616 ms for agent selection and 925 ms for automation detection, against 3,380 ms and 3,432 ms. Label selection is one observed request, 3.07 seconds to 0.455 seconds. The article does not name a Jev version.
Measurements dated 28 September 2026. Agent selection and automation detection are 18 Jev-enabled decisions each, from six scenarios repeated three times. Fallbacks were 6 of 18 and 3 of 18. Jev-only averages are 365 ms and 350 ms. One invoice-trigger example needed Gemini on all three repetitions and was slightly slower. Costs per 1,000 are estimates from token counts and list prices: Gemini 3 Flash Preview at $0.50 per million input tokens and $3 per million output tokens, including thinking, and Jev at $0.042 per million input tokens with output free. The article says the samples are not a production latency guarantee.
Meta
Source checked:
[160] Muse Wonder model page: variants, price, and Muse Code access
The page lists Muse Wonder (muse-wonder-1.0) on the Meta Model API and Muse Code at $4 input, $0.20 cached input, and $20 output per million tokens, with a 1M-token context window. Muse Wonder Full (muse-wonder-full-1.0) is listed for Muse Code Power Usage ($50/month) and Maximum Usage ($200/month), with no public per-token API price.
Official product page as accessed 15 October 2026. The benchmark table on the same page compares Muse Wonder and Muse Wonder Full with Claude Fable 5.1, GPT-6 Astra, and Claude Opus 5.5. The page does not mention Jev. Jev is listed here because the note is cited from the Jev and Muse Wonder report.
TypeSafe AI (@typesafeai)
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[26] Jev is available without a waitlist
TypeSafe announced that Jev is available to everyone, with no waitlist, and pointed new users to the console login.
Public-availability post five days after early access. A follow-up stated that every account starts with $5 in credit, described as about 120 million tokens.