Google · Released Jul 21, 2026Gemini 3.6 Flash
Fast Gemini model balancing multimodal reasoning, tool use, and cost.
- Capability
- 154.3ECI · #34 of 148
- Input
- $0.75per 1M tokens
- Output
- $3.75per 1M tokens
- Context
- 1.05M66K max output
What it costs
- Input
- $0.75per million tokens
- Output
- $3.75per million tokens
- Cached input
- $0.075per million tokens
- Blended (3:1)
- $1.50pricier than 64% of priced models
Typical monthly bills
| Monthly usage | Estimated cost |
|---|---|
| Side project2M input + 0.5M output tokens | $3.38 |
| Team assistant25M input + 5M output tokens | $37.50 |
| Production app250M input + 50M output tokens | $375.00 |
Official Google API price, as listed on models.dev.
Independent benchmarks
#34 of 148 scored models
The shaded band is Epoch AI’s confidence range (152.6–156.3); the tick marks the median scored model.
Scores from Epoch AI, run independently of Google.
The details
- Lab
- Released
- Jul 21, 2026
- Knowledge cutoff
- Mar 2026
- Context window
- 1,048,576 tokens
- Max output
- 65,536 tokens
- Inputs
- Text, Images, PDFs, Audio, Video
- Output
- Text
- Reasoning
- Adjustable effort minimal · low · medium · high
- Tool calling
- Yes
- Structured output
- Yes
- Weights
- Proprietary
- API model ID
gemini-3.6-flashon Google- Availability
- 25 API providerslisted on models.dev
What Google claims
Published by the lab at launch. Settings vary, so compare these only with care.
| Benchmark | Score | Setting | Source |
|---|---|---|---|
| SWE-Bench Pro | 58.7 resolve rate | — | Source |
| DeepSWE v1.1 | 49 resolve rate | high reasoning | Source |
| Terminal-Bench v2.1 | 78 | — | Source |
| MLE-Bench | 63.9 | — | Source |
| GDPval-AA vv2 | 1421 Elo | — | Source |
| OSWorld-Verified | 83 success rate | — | Source |
| CharXiv Reasoning | 85.2 | no tools | Source |
| CharXiv Reasoning | 89.4 | with tools | Source |
| GDM-MRCR vv2 | 91.8 | 128k average, 8-needle | Source |
| GDM-MRCR vv2 | 54 | 1M pointwise, 8-needle | Source |
More from Google
About Gemini 3.6 Flash
How much does Gemini 3.6 Flash cost?
Gemini 3.6 Flash costs $0.75 input / $3.75 output per million tokens (official Google API price). Cached input is $0.075 per million tokens. At a 3:1 input-to-output mix that is $1.50 per million tokens, more expensive than 64% of the 360 priced models we track.
What is the context window of Gemini 3.6 Flash?
Gemini 3.6 Flash accepts up to 1,048,576 tokens per request and can write up to 65,536 tokens in one response.
How good is Gemini 3.6 Flash?
Epoch AI gives Gemini 3.6 Flash a Capabilities Index score of 154.3 (likely range 152.6–156.3), ranking it #34 of 148 models Epoch has scored. Epoch AI benchmark results: GPQA Diamond 94.1%, FrontierMath Tiers 1–3 59.0%, OTIS Mock AIME 2024–2025 94.2%, SimpleQA Verified 66.2%.
Is Gemini 3.6 Flash open source?
No. Gemini 3.6 Flash is proprietary; you use it through Google’s API or partner platforms.
What inputs does Gemini 3.6 Flash support?
Gemini 3.6 Flash accepts text, images, PDFs, audio and video and replies in text. It is a reasoning model with minimal, low, medium and high effort settings, supports tool calling and can return structured JSON output.
When was Gemini 3.6 Flash released?
Google released Gemini 3.6 Flash on Jul 21, 2026. Its training data runs to Mar 2026.
What are the best alternatives to Gemini 3.6 Flash?
The closest current models from other labs on capability, price and release date are Muse Spark 1.1 (Meta, ECI 154.3, $1.25 / $4.25), DeepSeek V4 Pro 0813 (DeepSeek, ECI 155.4, $0.66 / $1.98), GLM-5.3 (Z.ai (Zhipu), ECI 155.8, $1.40 / $4.40) and Grok 4.5 (xAI, ECI 154.0, $2.00 / $6.00).