As of August 20, 2026, Gemini 3.6 Flash API pricing is $0.75 per million input tokens and $3.75 per million output tokens. A typical 100K-in / 20K-out request costs $0.15. Source: https://ai.google.dev/gemini-api/docs/pricing
Source: Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)
Input $/M
$0.75
Output $/M
$3.75
Blended / 1M
$4.50
100K / 20K request
$0.15
| Context Window | 1M |
|---|---|
| Max Output | 65.5K tokens |
| Release Date | 2026-07-21 |
| Knowledge Cutoff | 2026-03-31 |
| License | Proprietary |
| Throughput | 189.1623152597947 tok/s |
| Chatbot Arena | 1484 |
|---|---|
| GPQA Diamond | 86.4% |
| SWE-bench Verified | 79.6% |
| DeepSWE | 48.6% |
| DeepSWE 1.1 | 46.7% |
| LiveCodeBench | 88.1% |
| SciCode | 52.7% |
| Arena Code Elo | 1527.83 |
| Vibe Code Bench | 64.0% |
| SimpleQA | 68.7% |
| FinanceAgent v2 | 56.3% |
| ARC-AGI 2 | 60.4% |
| ARC-AGI-1 Verified | 91.2% |
| SWE-bench Pro (Public) | 58.7% |
| Terminal-Bench | 78% |
| Terminal-Bench 2.1 | 78% |
| OSWorld | 83% |
| OSWorld Verified | 83% |
| CharXiv-R | 89.4% |
| AIME 2025 | 82.2% |
| MMMU | 88.4% |
| Arena Vision Elo | 1295 |
| Charxiv Reasoning No Tools | 85.2% |
| Charxiv Reasoning With Tools | 89.4% |
| Code Migration | 30.9% |
| CorpFin v2 | 63.3% |
| CritPt | 10.6% |
| CyberBench | 48.5% |
| Deepswe V1 1 | 49% |
| EMB | 65.4% |
| Gdm Mrcr V2 8needle 128k Average | 91.8% |
| Gdm Mrcr V2 8needle 1m Pointwise | 54% |
| GDP-PDF | 14% |
| Gdpval Aa V2 | 1421 |
| MedCode | 53.1% |
| MedScribe | 79.7% |
| Mle Bench | 63.9% |
| MMLU-Pro | 89.3% |
| MRCR v2 | 54% |
| ProofBench | 36% |
| SAGE | 48.7% |
| SWE-bench Pro | 58.7% |
| Tax Eval v2 | 74.9% |
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As of August 20, 2026, Gemini 3.6 Flash Gemini API pricing is $0.75 per million input tokens and $3.75 per million output tokens. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://ai.google.dev/gemini-api/docs/pricing
On this page the blended Gemini 3.6 Flash API cost is $4.50 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $6.00.
A typical Gemini 3.6 Flash API request with 100K input tokens and 20K output tokens costs about $0.15 at current rates as of August 20, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from Google can bring the real invoice lower than the public list rate at https://ai.google.dev/gemini-api/docs/pricing.
Gemini 3.6 Flash supports a 1M token context window and can generate up to 66K output tokens per request. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
No. Gemini 3.6 Flash is a proprietary model by Google. The only public way to call it is Google's API, billed per million input and output tokens. There is no self-host option for the weights.
Gemini 3.6 Flash currently reports Chatbot Arena 1484, GPQA Diamond 86.4%, SWE-bench Verified 79.6%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
Gemini 3.6 Flash scores 79.6% on SWE-bench Verified. Pair that score with Gemini API pricing on this page: a slightly worse SWE-bench model can still win if it is much cheaper per million tokens. Open the SWE-bench or coding leaderboard from the sidebar for the full ranking, then jump into an LLM comparison against a coding specialist.
Gemini 3.6 Flash has a published knowledge cutoff of 2026-03-31. Facts after that date are not guaranteed to be in the weights. For current events you still need retrieval or tools, which adds input tokens and therefore API cost per million tokens.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated Gemini 3.6 Flash vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut Gemini 3.6 Flash. Open-weight models can be cheaper still if you self-host, but that is not the same as Gemini API pricing on this page.
Gemini 3.6 Flash is called through Google's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for Google and 5+ other providers with auth, payments, and deployment already configured.
This Gemini 3.6 Flash page tracks the latest published Gemini API pricing from Google, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://ai.google.dev/gemini-api/docs/pricing. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
Gemini 3.6 Flash has a measured throughput of about 189.1623152597947 tokens per second (tok/s). Throughput is how fast completions stream once the model starts generating; time-to-first-token can still lag under load. Faster APIs matter when you are building chat or agents, even if the per-million-token price is the same.
Gemini 3.6 Flash is a proprietary model from Google. Current API pricing is $0.75 per million input tokens and $3.75 per million output tokens, with a 1M token context window. A blended 1M-in / 1M-out workload costs $4.50.
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