Google: Gemini 3.5 Flash

Gemini 3.5 Flash is Google's high-efficiency multimodal model, released 2026-05, designed for near-Pro coding and reasoning at Flash-tier cost and speed. It is optimized for parallel agentic execution and supports text, image, video, audio, and PDF inputs.

Modalities
inTextinImageinVideoinFileinAudiooutText
Price / 1M−88%
$0.18 / $1.06$1.50 / $9.00
Context
1.049M
Knowledge cutoff
2025-01-01

Capabilities

ReasoningVisionTool useLong contextPrompt cachingStructured output

Channels

Same weights on every channel. Requests route to the cheapest healthy one; the channel used is printed on each billing line.

Provider
Discount
Input /M
Output /M
Cache Read /M
Cache Create 5m /M
Cache Create 1h /M
Defaultstable
−88%
$0.18
$1.06
$0.02

Cost Calculator

Pick a channel and a usage scenario, then drag to your workload — each scenario assumes a different prompt-cache hit rate.

Channel
Scenario
Unit $0.18 / $1.06 /1MDaily chat: 40% cache hit assumed · cache read $0.02 /1M
List price $524.16On MirAPI$61.65/ moYou save $462.51Create an API key

Benchmarks

bar = score (0–100) · ▏ median

Scores from vendor reports and public leaderboards. No private evals.

Intelligence Index
General ability
52.0
#20
Coding Index
Code
70.1
#18
Agentic Index
Agentic
39.7
#24
GPQA Diamond
Science QA
93.1
#4
τ-bench (airline)
Agentic tool use
74.0
#29

Showcase

Three fixed prompts, identical for every chat model. Outputs are archived verbatim — copy the prompt to reproduce.

Task prompt · identical for all models
Build a single-file HTML page using three.js from a CDN: a low-poly planet with a tilted ring of ~200 orbiting particles, a soft key light plus rim light, slow auto-rotation, and drag-to-orbit controls. No build tools — one file only.
Archived output
Archive not published yet

Every model will run this exact prompt; the output lands here verbatim, with tokens and per-run cost.

Quick Start

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.mirapi.ai/v1",   # changed
    api_key=os.environ["MIRAPI_API_KEY"],   # changed
)

resp = client.chat.completions.create(
    model="google/gemini-3.5-flash",
    messages=[{"role": "user", "content": "Hello"}],
)
Wire Gemini 3.5 Flash into your product

1M free tokens to start · no card · OpenAI-compatible, one base_url change

Start free