openai
Gemini 3.6 Flash vs GPT-5.6 Luna
73.6 overall · $0.450 / 1M
Gemini 3.6 Flash
google/gemini-3.6-flash
reasoningtool callingimage inputvideo inputfile inputaudio inputprompt caching
Gemini 3.6 Flash costs $0.750 per 1M input tokens and $3.75 per 1M output tokens with a 1.0M-token context window.
A reasoning, tool-calling model from google, released Jul 21, 2026. On LiveBench it scores 73.6 overall — #34 of 55 benchmarked models — and ranks highest in instruction following (#8).
- Input / 1M
- $0.750
- Output / 1M
- $3.75
- Context
- 1.0M
- LiveBench overall
- 73.6 · #34
Specs and pricing
| Input price USD per 1M prompt tokens | $0.750 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $3.75 |
| Blended price 3:1 input:output — #107 most expensive of 343 listed models | $1.50 |
| Cached input read Blank means not priced separately — not free | $0.075 |
| Cache write | $0.042 |
| Context window | 1,048,576 tokens |
| Max output | 65,536 tokens |
| Input modalities | text, image, video, file, audio |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Jul 21, 2026 |
Also listed as google/gemini-3.6-flash:batch ($0.750 blended)— the same model at a different price or rate limit.
Benchmarks by category
LiveBench scores out of 100, with Gemini 3.6 Flash's rank among the 55 benchmarked models listed here. Run: gemini-3.6-flash-high.
Language#14 of 55
83.9
$0.0306 measured per point
What Gemini 3.6 Flash costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $431.40/mo |
| RAG assistant 8K in / 600 out × 100K requests | $555.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $522.00/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $997.50/mo |
| Bulk classification 500 in / 20 out × 5M requests | $1,912/mo |
Compare Gemini 3.6 Flash with
The benchmarked models closest to it on overall score.
openai
Gemini 3.6 Flash vs GPT-5.2-Codex
74.0 overall · $4.81 / 1M
z-ai
Gemini 3.6 Flash vs GLM 5.2
73.2 overall · $0.998 / 1M
qwen
Gemini 3.6 Flash vs Qwen3.7 Max
73.1 overall · $2.21 / 1M
deepseek
Gemini 3.6 Flash vs DeepSeek V4 Flash 0731
74.2 overall · $0.190 / 1M
anthropic
Gemini 3.6 Flash vs Claude Sonnet 4.6
73.0 overall · $6.00 / 1M
Gemini 3.6 Flash FAQ
How much does Gemini 3.6 Flash cost?
Gemini 3.6 Flash lists at $0.750 per 1M input tokens and $3.75 per 1M output tokens, with cached input reads at $0.075 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $555.00 at list price.
What is the context window of Gemini 3.6 Flash?
Gemini 3.6 Flash accepts up to 1,048,576 tokens of context and can return up to 65,536 output tokens per response.
Does Gemini 3.6 Flash support tool calling?
Yes — Gemini 3.6 Flash supports tool (function) calling and exposes extended reasoning. It accepts text, image, video, file, audio input.
How does Gemini 3.6 Flash score on benchmarks?
On LiveBench release 2026-06-25 (run: gemini-3.6-flash-high), Gemini 3.6 Flash scores 73.6 overall, ranking #34 of 55 benchmarked models.
What is the API model ID for Gemini 3.6 Flash?
On OpenRouter the model ID is "google/gemini-3.6-flash". It was listed on Jul 21, 2026.
More from google
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.