Gemini 4 Argon
Fresh input / cached input / output cost breakdown, active and scheduled rates, provenance, same-model deployment markup, and cost-comparable alternatives for this purchasable lane.
Illustrative workloads
Pick a useful starting shape, then fine-tune every input below.
Workload and pricing scenario
Adjust the token shape, cache behavior, time window, and service tier. Every number below updates immediately.
Workload cost calculator
Share of input tokens served from cache. Applied only to models with a cache meter.
Rows with a rate that changes by time of day, promo window or service tier are priced for this scenario instead of their flat listed rate; a brand-colored label under the model name names which one applies. Context size for band-priced rows uses the input-token count below.
Picking a specific hour also previews time-of-day rates that are scheduled but have not started billing yet; those rows are labelled · preview with their start instant. Now only ever shows rates that are billable at this moment.
What this lane charges right now
Priced under the workload and scenario above. The full published schedule below always shows every variant regardless of which scenario is selected.
Where this workload's cost goes
60M input tokens (90% cache hit) and 210K output tokens, at the resolved rate above.
$12.00 + $5.40 + $2.10 = $19.50
How much to trust these numbers
Google's flagship reasoning model, generally available since October 13, 2026. Standard API rates are $2/$0.10/$10 per M input/cached-input/output tokens through November 30, then $4/$0.20/$20 from December 1. Batch and Flex are half of Standard; Priority is 1.8x. Implicit caching only; explicit caching is unsupported. The default synchronous output limit is 65,536 tokens; background long decode supports up to 1,048,576 output tokens, limited by the shared context window.
Google Gemini API release notes, checked 2026-10-14, mark Gemini 4 Argon (`gemini-4-argon`) generally available on October 13. Google's Gemini 4 Argon model page, checked 2026-10-14, gives a 1,048,576-token shared context window, 65,536 default synchronous output limit, and up to 1,048,576 output tokens with background long decode. The Gemini API pricing page, captured 2026-10-14, lists Standard at $2/M input, $0.10/M cached input, and $10/M output through November 30, 2026, then $4/$0.20/$20 from December 1; Batch and Flex are half of Standard, and Priority is 1.8x. Caching is implicit only and Google says explicit caching is unsupported. A full Azure Retail Prices Foundry feed sweep and exact `gemini` meter search on 2026-10-14 returned no Google/Gemini token meter, so this is a Direct API lane with no Foundry rate inferred.
Same-model deployment markup
How much this Foundry lane costs over the same model's Direct API rate.
Not available — no Direct API listing exists for this exact model in the catalog.
Other lanes within ±25% of this workload's cost
Same provider first, then ranked by cost proximity, for 60M in / 210K out. This is a cost ranking only — never a quality recommendation.
- Claude Sonnet 5.5ClaudeDirect API$19.50CHF 15.70$0.00 (0%) vs this lane
- Claude Sonnet 5.5ClaudeFoundry ·Global$19.50CHF 15.70$0.00 (0%) vs this lane
- GPT-6.1 SolOpenAI / Azure OpenAI · OpenAI direct APIDirect API$19.50CHF 15.70$0.00 (0%) vs this lane
- GPT-6.1 SolOpenAI / Azure OpenAIFoundry ·Global$19.50CHF 15.70$0.00 (0%) vs this lane
- GLM 5GLM · Fireworks-hostedFoundry ·Data Zone$19.22CHF 15.47-$0.281 (-1%) vs this lane
- DeepSeek-V4 ProDeepSeekFoundry ·Global$19.00CHF 15.30-$0.499 (-3%) vs this lane