Google Gemini API Pricing

Complete pricing breakdown for selected Gemini models — including the Gemini 4 Argon flagship, Gemini 3.8 Flash, and the budget-friendly 2.5 Flash-Lite

Selected Models
$0.10 – $12 Per 1M Tokens
1M Context Window
Oct 14, 2026 Pricing Verified

Gemini 4 Argon: generally available

Checked October 14, 2026. GA on the Gemini Developer API since October 13, 2026.

Google announced Gemini 4 Argon on September 30 with restricted Fairwind access for selected cyber defenders, then marked gemini-4-argon generally available in its changelog on October 13, 2026. It is Google's flagship reasoning model: a unified 1M-token input/output limit, text/image/video/audio/PDF input, text output, low/medium/high thinking, and tools including function calling, code execution, search and Maps grounding, URL context and file search (computer use is Preview; the Live API, audio generation and image generation are not supported). Implicit caching only — explicit caching is not supported.

Argon is not available on the Free tier or the Google AI Pro plan; paid-tier Gemini API and Google AI Studio access apply. Its 1,048,576-token budget is shared by input and output. Foreground Interactions requests, streaming or not, stop at 65,536; background execution with an explicit higher limit manages continuation hops. GenerateContent client-side continuation supports 64K per stream or 32K per non-streaming request. Use the current Google GenAI SDK or a controlled continuation loop, and check framework output caps. Official long-decode limits.

Migration requires more than a model-ID swap: explicit cached-content creation is unsupported; implicit caching starts at 4,096 input tokens. Use thinking_level, remove ignored sampling parameters and test tools, multi-turn state and timeouts. The calculator switches to the scheduled December rates after November 30 without rewriting the stored introductory prices. Google's migration checklist. Details checked October 15, 2026.

ModeIntroductory (through Nov 30, 2026)Standard (from Dec 1, 2026)
Standard input, per 1M tokens$2.00$4.00
Standard output, per 1M tokens (includes thinking)$10.00$20.00
Context caching, per 1M tokens$0.10$0.20
Batch input / output$1.00 / $5.00$2.00 / $10.00
Flex input / output$1.00 / $5.00$2.00 / $10.00
Priority input / output$3.60 / $18.00$7.20 / $36.00

These are current public API prices — Argon is now included in the Gemini pricing table and the cost calculator on this page. Standard rates double on December 1, 2026; budget with the introductory rate only through November 30.

Sources: Google's Gemini API changelog (Oct 13 GA entry), Google's API pricing page (updated Oct 13, 2026) and the Argon model page. The machine-readable record is in the main models section of our pricing dataset.

Image and managed-agent migration status

Checked October 12, 2026: Google’s pricing page says gemini-2.5-flash-image shut down October 2, while its lifecycle table gives March 15, 2027. We therefore mark current callability uncertain, not definitively active or discontinued; no authenticated endpoint test was performed. Plan an explicit migration rather than relying on this disputed fallback. Image pricing remains separate from the text calculator.

antigravity-preview-05-2026 has its documented October 5 shutdown; its replacement is antigravity-preview-09-2026. Remote callers reading final output can update the ID, while local tool dispatch and function_call parsers must migrate parameter names and line-range editing. Follow Google's migration notes.

deep-research-pro-preview-12-2025 is deprecated and scheduled to shut down October 23, 2026. Use the supported deep-research-preview-04-2026 or deep-research-max-preview-04-2026 agent in the Interactions API's agent parameter, not a fabricated text-model identifier. Official migration notice.

Gemini API Pricing

Lifecycle checked October 12, 2026: gemini-3.7-flash and gemini-3.5-flash are deprecated aliases routing to 3.8 and 3.6 respectively; Google has not announced their shutdown dates. Their table rows retain historical prices, while the calculator resolves the current replacement. Official changelog.

Nano Banana 2.1 (gemini-nano-banana-2.1, GA) is an image model, not a text-model calculator substitute. Standard text/image/video input is $1.50/M; text/thinking output is $7.50/M and image output $30/M. Image-output cost depends on resolution: 1K $0.0336, 2K $0.0504, 4K approximately $0.113 per image. Batch rates are half these token rates. This is not a universal 50% reduction across all costs versus its predecessor. See Google pricing and the media records in our pricing API.

Selected Gemini text-token rates. See separate audio/video billing records; this table is not a universal modality price list.

Model Input (per 1M) Output (per 1M) Context Tier
Gemini 4 Argon (GA) flagship$2.00 thru Nov 30 → $4.00$10.00 thru Nov 30 → $20.001MPremium
Gemini 3.8 Flash (GA)$0.75$3.751MIntroductory through Dec 31, 2026
Gemini 3.7 Flash Deprecated alias → 3.8 Flash $0.75 promo $3.75 promo 1M Budget
Gemini 3.6 Flash $0.75 promo $3.75 promo 1M Budget
Gemini 3.5 Flash $1.50 $9.00 1M Mid
Gemini 3.5 Flash-Lite NEW $0.30 $2.50 1M Budget
Gemini 3.1 Pro $2.00 $12.00 1M Mid
Gemini 3.1 Flash-Lite $0.25 $1.50 1M Budget
Gemini 3 Flash $0.50 $3.00 1M Budget
Gemini 2.5 Pro $1.25 $10.00 1M Mid
Gemini 2.5 Flash $0.30 $2.50 1M Mid
Gemini 2.5 Flash-Lite $0.10 $0.40 1M Budget

Gemini 3.6-3.8 introductory billing checked Oct 14, 2026; older model rows retain their previous dataset verification dates. Free-tier availability and limits are model- and mode-specific; do not assume all models or processing modes are free.

Gemini 3.8 Flash billing dates and modes

Direct Gemini API rates checked September 30, 2026. Through December 31: $0.75/M input, $0.075/M cached input and $3.75/M output including thinking tokens. From January 1, 2027: $1.50/$0.15/$7.50. Cached storage is separate: $0.50/M tokens/hour now, $1/M/hour from January 1. Batch and Flex currently cost $0.375/$1.875 input/output; Priority costs $1.35/$6.75. Those input/output mode rates also double January 1. Free tiers and data-use terms differ from paid tiers; Vertex or third-party hosts may bill differently.

Google's first-party pricing. Use the cost calculator for base token estimates; mode, storage and grounding charges require separate budgeting.

Why Gemini Stands Out

Three reasons Google's API is hard to beat.

1M

1M Context Window

Several Gemini models support up to 1M input context. This is not unique: current OpenAI GPT-6 supports 1.05M. Context capacity, output limits and long-context billing must be compared separately.

$

Cheapest Premium Model

Gemini rates vary by model, context and processing mode. Compare total task cost and evaluated quality rather than treating legacy token prices as equivalent intelligence.

Free

Free Tier Available

Google offers a generous free tier for both Gemini 2.5 Pro and Gemini 2.5 Flash-Lite, letting you experiment and prototype without spending a dime. Perfect for side projects and evaluation.

Which Gemini Model Should You Use?

Gemini 3.8 Flash (use the explicit current ID)
Use gemini-3.8-flash for a deliberate current choice. The deprecated 3.7 alias now routes here; compare current launch/list dates and billing modes above rather than buying on historical 3.7 rates.
Gemini 3.6 Flash
Also at promotional pricing: $0.75/$3.75 per 1M tokens (through Dec 2026). 1M context, strong for agentic and multimodal tasks. Same promo pricing as 3.7 Flash — choose based on task fit.
Gemini 3.5 Flash-Lite
Best for high-throughput execution. At $0.30/$2.50 per 1M tokens, it's the most cost-effective 3.5 generation model — ideal for high-volume classification, extraction, and summarization.
Gemini 3.1 Pro
Best for complex reasoning, code generation, and multi-step analysis. At $2/$12 per 1M tokens, it competes with GPT-5 and Claude Sonnet at a lower price point.
Gemini 2.5 Flash-Lite
The absolute cheapest option at $0.10/$0.40 per 1M tokens. Best for high-volume, latency-sensitive workloads where cost per request matters most.

Gemini Cost Calculator

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Based on published API pricing. Actual costs may vary.

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